Quantum Computing Explained
Download as pptx, pdf0 likes1,616 views
A quantum computer performs calculations based on quantum mechanics, the behavior of particles at the subatomic level. Unlike conventional computers that use bits of 0s and 1s, quantum computers use quantum bits or qubits that can be 0 and 1 simultaneously. This superposition allows quantum computers to manipulate enormous combinations of states at once, potentially performing calculations millions of times faster than classical computers. If built, quantum computers could revolutionize computing in the 21st century by tapping directly into the vast potential of quantum mechanics.
1 of 11
Downloaded 47 times
Ad
Recommended
Quantum computing
Quantum computingSamira Riki Quantum computing uses principles of quantum theory and qubits (quantum bits) that can represent superpositions of states to perform calculations. The document traces the history of quantum computing from its proposal in 1982 to modern developments. It explains key concepts like qubits, entanglement, and parallelism that allow quantum computers to solve certain problems like factorization and simulation much faster than classical computers. Recent progress in building quantum computers is discussed, including D-Wave Systems' quantum annealing approach. While obstacles remain, quantum computing could have important applications in networking, cryptography, and artificial intelligence.
Quantum Computing
Quantum ComputingMuhammadHaroon188 The document discusses quantum computing, defining it as a calculation method based on quantum mechanics, and distinguishes it from conventional computing. It covers the history of quantum computing from its theoretical inception in the 1980s to recent advancements by companies like Google, IBM, and Microsoft. Additionally, the document highlights key applications of quantum computing in fields such as artificial intelligence, cryptography, and optimization.
Quantum Computing
Quantum Computingt0pgun The document provides an overview of quantum computing, including its history, data representation using qubits, quantum gates and operations, and Shor's algorithm for integer factorization. Shor's algorithm uses quantum parallelism and the quantum Fourier transform to find the period of a function, from which the factors of a number can be determined. While quantum computing holds promise for certain applications, classical computers will still be needed and future computers may be a hybrid of classical and quantum components.
Quantum Computing
Quantum ComputingDeepankar Sandhibigraha Quantum computing is a field focused on developing technology based on quantum mechanics principles, using qubits that can represent multiple states simultaneously. This technology has applications in areas such as quantum cryptography and optimizations in complex computational tasks. It has the potential to revolutionize computing capabilities and security, enabling solutions to previously unsolvable problems.
Chapter 2 program-security
Chapter 2 program-securityVamsee Krishna Kiran The document discusses program security and secure programming. It covers various types of programming errors that can lead to security issues like buffer overflows and incomplete access controls. It also discusses malicious code like viruses, worms, and Trojan horses. The document outlines controls needed against vulnerabilities in programs and flaws during execution. It defines different types of programming flaws like intentional, inadvertent, validation errors, and boundary violations that can be exploited. Specific issues like buffer overflows, incomplete mediation, and time-of-check to time-of-use errors are explained in detail along with their security implications. Finally, it covers different types of malicious code and how viruses specifically spread and infect systems.
Quantum computer ppt
Quantum computer pptNisarg Bhagavantanavar This document presents an overview of quantum computers. It begins with an introduction and brief outline, then discusses the history of quantum computing from 1982 onwards. It explains that quantum computers use quantum mechanics principles like qubits and superposition to potentially solve problems beyond the capabilities of classical computers. Some applications mentioned include cryptography, artificial intelligence, and teleportation. Challenges like decoherence and error correction are also noted. The conclusion states that if successfully built, quantum computers could revolutionize society.
Quantum computing
Quantum computingTejasKapile1 This document provides an overview of quantum computing. It defines quantum as the smallest possible unit of physical properties like energy or matter. Quantum computers use quantum phenomena like superposition and entanglement to perform operations on quantum bits (qubits). Qubits can exist in multiple states simultaneously, unlike classical computer bits which are either 0 or 1. The document outlines how quantum computers work based on quantum principles and can solve certain problems exponentially faster than classical computers. It also compares classical computers to quantum computers and discusses potential applications of quantum computing in areas like artificial intelligence, cryptography, and molecular modeling.
Program security
Program securityPrachi Gulihar The document discusses various types of program security issues including:
1) Buffer overflow errors which occur when a program tries to store more data in a buffer than it was designed for, potentially allowing attackers to insert malicious code.
2) Incomplete mediation where programs do not properly check all user inputs, enabling attacks such as changing price values.
3) Time-of-check to time-of-use errors where access checks become out of date due to delays between the check and actual use.
Quantum computing
Quantum computingsadakpramodh Quantum computing harnesses the laws of quantum mechanics to process information using quantum bits (qubits) that can exist in superpositions of states. It allows qubits to be entangled so that measurements of one qubit instantly affect others. This enables quantum computers to potentially solve certain problems exponentially faster than classical computers by performing calculations on all possible combinations of inputs simultaneously. However, quantum systems are fragile and prone to decoherence, making it challenging to perform many logical operations before error occurs. While still in early stages of development, quantum computing shows promise for applications in optimization, machine learning, and other domains where large data sets require extensive processing.
Quantum computers
Quantum computersMitul Mohapatra Quantum computers use quantum states of subatomic particles like qubits that can exist in multiple states simultaneously. This allows quantum computers to massively parallel process information. Traditional computers are approaching their processing limits while quantum computers can efficiently solve complex problems too difficult for classical computers. However, quantum computers also face challenges in stability and scaling up for widespread use.
Quantum Computation: What is it and Why?
Quantum Computation: What is it and Why?Stefano Franco The document discusses quantum computation, defining it as a computational device that leverages quantum-mechanical phenomena. It highlights the historical development of quantum computation, its advantages over classical computation, and mentions key figures and concepts, such as Turing machines, qubits, and the EPR paradox. The document also notes the current state of quantum computing, including Italy's minimal representation in the field.
Quantum computing
Quantum computingMadhaviHanmanthkar The document discusses quantum computing, explaining its fundamental concepts such as qubits, superposition, and entanglement, which distinguish it from classical computing. It outlines the historical development, applications, advantages like exponential speedup, and challenges faced due to environmental interference on qubits. The seminar concludes that while quantum computers are not yet available, they could revolutionize computational methods.
Qunatum computing
Qunatum computing Shivangi Gupta The document discusses quantum computing, emphasizing the role of qubits and principles like superposition and entanglement. It details the functioning of qubits, their ability to exist in multiple states simultaneously, and provides insights through experiments like Schrödinger's cat and the double slit experiment. Additionally, it highlights various applications of quantum computing, including solving complex problems, drug development, encryption challenges, and enhancing space exploration.
Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...
Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...Professor Lili Saghafi The document discusses quantum algorithms, highlighting key concepts such as Shor's algorithm for factoring and Grover's algorithm for searching. It emphasizes the potential of quantum computers to outperform classical computers in certain tasks and their implications for cryptography, particularly in breaking public-key systems like RSA. Additionally, it explores properties of quantum mechanics, including entanglement and quantum teleportation, and the development of algorithms for tackling complex problems in various fields.
Quantum computing
Quantum computingdharmsinghggu This document provides an introduction to quantum computing. It discusses how quantum computers work using quantum bits (qubits) that can exist in superpositions of states unlike classical bits. Qubits can become entangled so that operations on one qubit affect others. Implementing qubits requires isolating quantum systems to avoid decoherence. Challenges include controlling decoherence, but research continues on algorithms, hardware, and bringing theoretical quantum computers to practical use. Quantum computers may solve problems intractable for classical computers.
Introduction to Quantum Computing
Introduction to Quantum ComputingJonathan Tan The document discusses quantum computing, explaining its basics such as superposition and entanglement, and how these principles distinguish quantum computers from classical ones. It covers the capabilities of quantum computing in various fields, including optimization, cryptography, and simulation, as well as current technological advancements and challenges in the field. Lastly, it outlines future prospects, including advancements in quantum algorithms and potential to break existing encryption methods.
Quantum Computers
Quantum ComputersDeepti.B Quantum computers have the potential to solve certain problems much faster than classical computers by exploiting principles of quantum mechanics, such as superposition and entanglement. However, building large-scale, reliable quantum computers faces challenges related to decoherence and controlling quantum systems. Current research aims to develop quantum algorithms and overcome issues in scaling up quantum hardware to perform more complex computations than today's most powerful supercomputers.
Quantum computing - Introduction
Quantum computing - Introductionrushmila This document discusses the history and future of quantum computing. It explains how quantum computers work using principles of quantum mechanics like superposition and entanglement. Quantum computers can perform multiple computations simultaneously by exploiting the ability of qubits to exist in superposition. Current research involves building larger quantum registers with more qubits and performing calculations with 2 qubits. The future of quantum computing may enable solving certain problems much faster than classical computers, with desktop quantum computers potentially arriving within 10 years.
Quantum computing
Quantum computingIBNC India - India's Biggest Networking Championship Quantum computing uses quantum bits (qubits) that can exist in superpositions of states rather than just 1s and 0s. This allows quantum computers to perform exponentially more calculations in parallel than classical computers. Some of the main challenges to building quantum computers are preventing qubit decoherence from environmental interference, developing effective error correction methods, and observing outputs without corrupting data. Quantum computers may one day be able to break current encryption methods and solve optimization problems much faster than classical computers.
Quantum Computing
Quantum ComputingSamrand Hassan Quantum computing utilizes the principles of quantum mechanics to perform calculations, with key developments including the creation of the quantum Turing machine and algorithms for factoring large numbers efficiently. Data is represented through qubits, which can exist in different states simultaneously due to superposition, and can also be intertwined through entanglement. This technology allows quantum computers to perform complex computations in parallel, making them a potent complement to traditional computing systems.
Quantum computing
Quantum computingKrishna Patel This document provides an overview of quantum computing, from its historical development and definitions to its potential applications and advantages over classical computing. Key concepts such as qubits, quantum algorithms, and entanglement are discussed, alongside notable milestones in quantum research. It emphasizes the transformative potential of quantum computers in solving complex problems and the evolution toward a new computing paradigm.
Quantum computing seminar
Quantum computing seminarPankaj Kumar A quantum computer performs calculations using quantum mechanics and quantum properties like superposition and entanglement. It uses quantum bits (qubits) that can exist in superpositions of states unlike classical computer bits. A quantum computer could solve some problems, like factoring large numbers, much faster than classical computers. The document discusses the history of computing generations and quantum computing, how quantum computers work using qubits, superpositions and entanglement, and potential applications like encryption cracking and simulation.
quantum computing22.pptx
quantum computing22.pptxAbhijit181377 Quantum computing is a rapidly emerging technology that uses principles of quantum mechanics like superposition and entanglement to perform operations on quantum bits (qubits) and solve complex problems. It has the potential to vastly outperform classical computers for certain problems. The document discusses key aspects of quantum computing including how it differs from classical computing, what qubits are, how quantum computers work using elements like superconductors and Josephson junctions, and potential applications in areas like artificial intelligence, drug development, weather forecasting, and cybersecurity. It also covers advantages like speed and ability to solve complex problems, as well as current disadvantages like difficulty to build and susceptibility to errors.
Quantum computers
Quantum computersRishabh Jindal Quantum computers use principles of quantum mechanics rather than classical binary logic. They have qubits that can represent superpositions of 0 and 1, allowing massive parallelism. Key effects like superposition, entanglement, and tunneling give them advantages over classical computers for problems like factoring and searching. Early quantum computers have been built with up to a few hundred qubits, and algorithms like Shor's show promise for cryptography applications. However, challenges remain around error correction and controlling quantum states as quantum computers scale up. D-Wave has produced commercial quantum annealing systems with over 1000 qubits, but debate continues on whether these demonstrate quantum advantage. Overall, quantum computing could transform fields like AI, simulation, and optimization if challenges around building reliable large-scale quantum
Quantum computers
Quantum computersNolesh_Warke The document discusses quantum computing, which integrates classical information theory with quantum physics, highlighting its potential superiority over classical computing through the use of qubits. It covers the historical development, key principles such as superposition and entanglement, and applications where quantum computers can significantly outperform classical ones, such as in complex calculations and data encryption. Key challenges, including maintaining coherence and minimizing environmental interference, are also addressed.
Quantum computer
Quantum computerNikhil Eg This document provides an overview of quantum computing, including its history, basic concepts, applications, advantages, difficulties, and future directions. It discusses how quantum computing originated in the 1980s with the goal of building a computer that is millions of times faster than classical computers and theoretically uses no energy. The basic concepts covered include quantum mechanics, superpositioning, qubits, quantum gates, and how quantum computers could perform calculations that are intractable on classical computers, such as factoring large numbers. The document also outlines some of the challenges facing quantum computing as well as potential future advances in the field.
Quantum computing
Quantum computingsri satya sai institute of higher learning Presents an overview of quantum computing including its history, key concepts like qubits and superposition, applications like factoring large numbers and solving optimization problems, and advantages like speed and security compared to classical computers. Some challenges to building quantum computers are maintaining stability due to sensitivity to interference and requiring very cold temperatures.
Presentation on quantum computers
Presentation on quantum computersNancy Mann Quantum computers have the potential to vastly outperform classical computers for certain problems. They make use of quantum bits (qubits) that can exist in superpositions of states and become entangled with each other. This allows quantum computers to perform calculations on all possible combinations of inputs simultaneously. However, building large-scale quantum computers faces challenges such as maintaining quantum coherence long enough to perform useful computations. Researchers are working to develop quantum algorithms and overcome issues like decoherence. If successful, quantum computers could solve problems in domains like cryptography, simulation, and machine learning that are intractable for classical computers.
Quantum Computing and what is qbits.pptx
Quantum Computing and what is qbits.pptxmrmohitm143 Quantum computing leverages the principles of quantum mechanics to solve complex problems more efficiently than classical computers, using qubits that can exist in multiple states simultaneously. Key concepts include superposition and entanglement, enabling quantum computers to process vast amounts of data in parallel. The technology is still in development, with potential applications in fields like artificial intelligence and secure communications.
Quantum computing COMPLETE LECTURE
Quantum computing COMPLETE LECTURESMALAIAPPANSRIKANTH The document discusses the application of quantum mechanics in computer data storage, particularly focusing on quantum computing's potential to revolutionize data processing and communication. It explains key concepts like qubits, superposition, and entanglement, as well as the challenges and advancements in developing practical quantum computers. Current technologies and future implications of quantum computing are explored, emphasizing their impact on various fields, including medicine and telecommunications.
More Related Content
What's hot (20)
Quantum computing
Quantum computingsadakpramodh Quantum computing harnesses the laws of quantum mechanics to process information using quantum bits (qubits) that can exist in superpositions of states. It allows qubits to be entangled so that measurements of one qubit instantly affect others. This enables quantum computers to potentially solve certain problems exponentially faster than classical computers by performing calculations on all possible combinations of inputs simultaneously. However, quantum systems are fragile and prone to decoherence, making it challenging to perform many logical operations before error occurs. While still in early stages of development, quantum computing shows promise for applications in optimization, machine learning, and other domains where large data sets require extensive processing.
Quantum computers
Quantum computersMitul Mohapatra Quantum computers use quantum states of subatomic particles like qubits that can exist in multiple states simultaneously. This allows quantum computers to massively parallel process information. Traditional computers are approaching their processing limits while quantum computers can efficiently solve complex problems too difficult for classical computers. However, quantum computers also face challenges in stability and scaling up for widespread use.
Quantum Computation: What is it and Why?
Quantum Computation: What is it and Why?Stefano Franco The document discusses quantum computation, defining it as a computational device that leverages quantum-mechanical phenomena. It highlights the historical development of quantum computation, its advantages over classical computation, and mentions key figures and concepts, such as Turing machines, qubits, and the EPR paradox. The document also notes the current state of quantum computing, including Italy's minimal representation in the field.
Quantum computing
Quantum computingMadhaviHanmanthkar The document discusses quantum computing, explaining its fundamental concepts such as qubits, superposition, and entanglement, which distinguish it from classical computing. It outlines the historical development, applications, advantages like exponential speedup, and challenges faced due to environmental interference on qubits. The seminar concludes that while quantum computers are not yet available, they could revolutionize computational methods.
Qunatum computing
Qunatum computing Shivangi Gupta The document discusses quantum computing, emphasizing the role of qubits and principles like superposition and entanglement. It details the functioning of qubits, their ability to exist in multiple states simultaneously, and provides insights through experiments like Schrödinger's cat and the double slit experiment. Additionally, it highlights various applications of quantum computing, including solving complex problems, drug development, encryption challenges, and enhancing space exploration.
Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...
Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...Professor Lili Saghafi The document discusses quantum algorithms, highlighting key concepts such as Shor's algorithm for factoring and Grover's algorithm for searching. It emphasizes the potential of quantum computers to outperform classical computers in certain tasks and their implications for cryptography, particularly in breaking public-key systems like RSA. Additionally, it explores properties of quantum mechanics, including entanglement and quantum teleportation, and the development of algorithms for tackling complex problems in various fields.
Quantum computing
Quantum computingdharmsinghggu This document provides an introduction to quantum computing. It discusses how quantum computers work using quantum bits (qubits) that can exist in superpositions of states unlike classical bits. Qubits can become entangled so that operations on one qubit affect others. Implementing qubits requires isolating quantum systems to avoid decoherence. Challenges include controlling decoherence, but research continues on algorithms, hardware, and bringing theoretical quantum computers to practical use. Quantum computers may solve problems intractable for classical computers.
Introduction to Quantum Computing
Introduction to Quantum ComputingJonathan Tan The document discusses quantum computing, explaining its basics such as superposition and entanglement, and how these principles distinguish quantum computers from classical ones. It covers the capabilities of quantum computing in various fields, including optimization, cryptography, and simulation, as well as current technological advancements and challenges in the field. Lastly, it outlines future prospects, including advancements in quantum algorithms and potential to break existing encryption methods.
Quantum Computers
Quantum ComputersDeepti.B Quantum computers have the potential to solve certain problems much faster than classical computers by exploiting principles of quantum mechanics, such as superposition and entanglement. However, building large-scale, reliable quantum computers faces challenges related to decoherence and controlling quantum systems. Current research aims to develop quantum algorithms and overcome issues in scaling up quantum hardware to perform more complex computations than today's most powerful supercomputers.
Quantum computing - Introduction
Quantum computing - Introductionrushmila This document discusses the history and future of quantum computing. It explains how quantum computers work using principles of quantum mechanics like superposition and entanglement. Quantum computers can perform multiple computations simultaneously by exploiting the ability of qubits to exist in superposition. Current research involves building larger quantum registers with more qubits and performing calculations with 2 qubits. The future of quantum computing may enable solving certain problems much faster than classical computers, with desktop quantum computers potentially arriving within 10 years.
Quantum computing
Quantum computingIBNC India - India's Biggest Networking Championship Quantum computing uses quantum bits (qubits) that can exist in superpositions of states rather than just 1s and 0s. This allows quantum computers to perform exponentially more calculations in parallel than classical computers. Some of the main challenges to building quantum computers are preventing qubit decoherence from environmental interference, developing effective error correction methods, and observing outputs without corrupting data. Quantum computers may one day be able to break current encryption methods and solve optimization problems much faster than classical computers.
Quantum Computing
Quantum ComputingSamrand Hassan Quantum computing utilizes the principles of quantum mechanics to perform calculations, with key developments including the creation of the quantum Turing machine and algorithms for factoring large numbers efficiently. Data is represented through qubits, which can exist in different states simultaneously due to superposition, and can also be intertwined through entanglement. This technology allows quantum computers to perform complex computations in parallel, making them a potent complement to traditional computing systems.
Quantum computing
Quantum computingKrishna Patel This document provides an overview of quantum computing, from its historical development and definitions to its potential applications and advantages over classical computing. Key concepts such as qubits, quantum algorithms, and entanglement are discussed, alongside notable milestones in quantum research. It emphasizes the transformative potential of quantum computers in solving complex problems and the evolution toward a new computing paradigm.
Quantum computing seminar
Quantum computing seminarPankaj Kumar A quantum computer performs calculations using quantum mechanics and quantum properties like superposition and entanglement. It uses quantum bits (qubits) that can exist in superpositions of states unlike classical computer bits. A quantum computer could solve some problems, like factoring large numbers, much faster than classical computers. The document discusses the history of computing generations and quantum computing, how quantum computers work using qubits, superpositions and entanglement, and potential applications like encryption cracking and simulation.
quantum computing22.pptx
quantum computing22.pptxAbhijit181377 Quantum computing is a rapidly emerging technology that uses principles of quantum mechanics like superposition and entanglement to perform operations on quantum bits (qubits) and solve complex problems. It has the potential to vastly outperform classical computers for certain problems. The document discusses key aspects of quantum computing including how it differs from classical computing, what qubits are, how quantum computers work using elements like superconductors and Josephson junctions, and potential applications in areas like artificial intelligence, drug development, weather forecasting, and cybersecurity. It also covers advantages like speed and ability to solve complex problems, as well as current disadvantages like difficulty to build and susceptibility to errors.
Quantum computers
Quantum computersRishabh Jindal Quantum computers use principles of quantum mechanics rather than classical binary logic. They have qubits that can represent superpositions of 0 and 1, allowing massive parallelism. Key effects like superposition, entanglement, and tunneling give them advantages over classical computers for problems like factoring and searching. Early quantum computers have been built with up to a few hundred qubits, and algorithms like Shor's show promise for cryptography applications. However, challenges remain around error correction and controlling quantum states as quantum computers scale up. D-Wave has produced commercial quantum annealing systems with over 1000 qubits, but debate continues on whether these demonstrate quantum advantage. Overall, quantum computing could transform fields like AI, simulation, and optimization if challenges around building reliable large-scale quantum
Quantum computers
Quantum computersNolesh_Warke The document discusses quantum computing, which integrates classical information theory with quantum physics, highlighting its potential superiority over classical computing through the use of qubits. It covers the historical development, key principles such as superposition and entanglement, and applications where quantum computers can significantly outperform classical ones, such as in complex calculations and data encryption. Key challenges, including maintaining coherence and minimizing environmental interference, are also addressed.
Quantum computer
Quantum computerNikhil Eg This document provides an overview of quantum computing, including its history, basic concepts, applications, advantages, difficulties, and future directions. It discusses how quantum computing originated in the 1980s with the goal of building a computer that is millions of times faster than classical computers and theoretically uses no energy. The basic concepts covered include quantum mechanics, superpositioning, qubits, quantum gates, and how quantum computers could perform calculations that are intractable on classical computers, such as factoring large numbers. The document also outlines some of the challenges facing quantum computing as well as potential future advances in the field.
Quantum computing
Quantum computingsri satya sai institute of higher learning Presents an overview of quantum computing including its history, key concepts like qubits and superposition, applications like factoring large numbers and solving optimization problems, and advantages like speed and security compared to classical computers. Some challenges to building quantum computers are maintaining stability due to sensitivity to interference and requiring very cold temperatures.
Presentation on quantum computers
Presentation on quantum computersNancy Mann Quantum computers have the potential to vastly outperform classical computers for certain problems. They make use of quantum bits (qubits) that can exist in superpositions of states and become entangled with each other. This allows quantum computers to perform calculations on all possible combinations of inputs simultaneously. However, building large-scale quantum computers faces challenges such as maintaining quantum coherence long enough to perform useful computations. Researchers are working to develop quantum algorithms and overcome issues like decoherence. If successful, quantum computers could solve problems in domains like cryptography, simulation, and machine learning that are intractable for classical computers.
Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...
Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...Professor Lili Saghafi
Similar to Quantum Computing Explained (20)
Quantum Computing and what is qbits.pptx
Quantum Computing and what is qbits.pptxmrmohitm143 Quantum computing leverages the principles of quantum mechanics to solve complex problems more efficiently than classical computers, using qubits that can exist in multiple states simultaneously. Key concepts include superposition and entanglement, enabling quantum computers to process vast amounts of data in parallel. The technology is still in development, with potential applications in fields like artificial intelligence and secure communications.
Quantum computing COMPLETE LECTURE
Quantum computing COMPLETE LECTURESMALAIAPPANSRIKANTH The document discusses the application of quantum mechanics in computer data storage, particularly focusing on quantum computing's potential to revolutionize data processing and communication. It explains key concepts like qubits, superposition, and entanglement, as well as the challenges and advancements in developing practical quantum computers. Current technologies and future implications of quantum computing are explored, emphasizing their impact on various fields, including medicine and telecommunications.
(Gourp13)Quantum Computing PRESWNTATION.pptx
(Gourp13)Quantum Computing PRESWNTATION.pptx243610 Quantum computing utilizes principles of quantum mechanics to tackle problems that classical computers find difficult or impossible to solve. Key historical milestones include Richard Feynman's 1982 idea of quantum machines and Peter Shor's 1994 algorithm for efficient number factoring. The technology shows promise in various fields such as drug development, machine learning, cybersecurity, and weather prediction, though it faces challenges like high costs and environmental sensitivity.
Quantum Computers New Generation of Computers PART1 by Prof Lili Saghafi
Quantum Computers New Generation of Computers PART1 by Prof Lili SaghafiProfessor Lili Saghafi Professor Lili Saghafi's lecture at the Quantum Information and Computation XIII Conference introduces quantum computing concepts, highlighting its superiority over classical computers for complex problem-solving through the use of qubits. Quantum computers exploit quantum mechanics, enabling them to tackle tasks like optimization and cryptography with unprecedented efficiency, while operating under extreme conditions. The lecture also discusses challenges such as decoherence and the potential of quantum computing to revolutionize fields like artificial intelligence and machine learning.
Quantum Computing Explained.pdf
Quantum Computing Explained.pdfGet Up To Dated Quantum computing uses quantum-mechanical phenomena like superposition and entanglement to operate on qubits, which can represent multiple states simultaneously unlike classical computer bits. This allows quantum computers to potentially perform certain calculations much faster. However, quantum computing is still in early research and development stages, with challenges including building large-scale machines and developing algorithms to take advantage of quantum speedups. While it may eventually solve currently intractable problems, quantum computing is not expected to replace classical computers in the near future.
Quantum Computing by Elisha.pptx
Quantum Computing by Elisha.pptxAsheMathew Quantum computing uses quantum mechanics and qubits to perform calculations exponentially faster than classical computers for certain problems. It has the potential to enable powerful artificial intelligence and solve problems that are currently unsolvable. However, quantum computers are very difficult to build and operate due to their sensitivity, temperature requirements, and other challenges. The future of quantum computing is promising, with the market expected to reach $2.2 billion by 2026, but significant technological advances are still needed for quantum computers to become practical for general-purpose use.
Quantum Computing
Quantum ComputingKeshav Quantum computing is a new method of computing based on quantum mechanics that offers greater computational power than classical computers. Quantum computers use quantum bits or qubits that can exist in superpositions of states allowing massive parallelism. Several approaches like ion traps, quantum dots and NMR have demonstrated quantum computing. However, challenges remain around errors from decoherence and a lack of reliable reading mechanisms. If these obstacles can be overcome, quantum computers may solve problems in artificial intelligence, cybersecurity, drug design and more exponentially faster than classical computers.
Discover the Future of Computing: Quantum Computers Explained
Discover the Future of Computing: Quantum Computers ExplainedMuhammad Hashim Quantum computers have the potential to revolutionize computing by solving complex problems millions of times faster than classical supercomputers, with applications in healthcare, cryptography, and artificial intelligence. Significant advancements include controlling qubits using silicon and hydrogen and the development of algorithms like Shor's and Grover's that enhance computational capabilities. However, challenges such as quantum decoherence and the need for reliable technology remain, requiring ongoing research and investment in quantum computing infrastructure.
Presentation.pptx
Presentation.pptxs1220184 This document provides an overview of quantum computers including their history, capabilities, and future prospects. It discusses how quantum computers operate using quantum mechanical principles and can perform simultaneous calculations. Examples of problems they could solve much faster than classical computers are given, such as prime number factorization. The document traces the origins of quantum computing back to Richard Feynman in 1959 and concepts developed in the 1980s. It also outlines advances in building quantum computers with increasing numbers of qubits. The future of realizing a general purpose quantum computer within 10 years is discussed.
Quantum Computers PART 1 & 2 by Prof Lili Saghafi
Quantum Computers PART 1 & 2 by Prof Lili SaghafiProfessor Lili Saghafi The document discusses the fundamental concepts of quantum computing, comparing it to classical computing and highlighting its potential benefits, such as solving complex optimization problems faster than conventional computers. It introduces the concept of qubits, which can exist in multiple states simultaneously, allowing quantum computers to process vast amounts of data quickly. Additionally, it touches on challenges such as decoherence and the implications for encryption and data security.
What is Quantum Computing, and How,,, Does It Work.pdf
What is Quantum Computing, and How,,, Does It Work.pdfBinay Dubey Quantum computing is a transformative technology that utilizes the principles of quantum mechanics, such as superposition and entanglement, to perform complex computations at unprecedented speeds. It has the potential to revolutionize various industries by addressing challenges in healthcare, finance, cryptography, and more, although it currently faces significant technical challenges like stability and scalability. The future of quantum computing is promising, with ongoing advancements hinting at its ability to work alongside classical computers in solving specialized tasks.
The Future of Quantum Computing
The Future of Quantum ComputingBernard Marr A Chinese research team has developed the world's most powerful quantum computer capable of manipulating 66 qubits, while Cambridge University has created a quantum desktop operating system. Quantum computing, utilizing complex phenomena such as superposition and entanglement, holds potential for various applications including data encryption, biotechnology, and climate change solutions. As quantum computing advances, it is expected to significantly impact everyday life, solving problems far exceeding the capabilities of classical computers.
Quantum Computing
Quantum ComputingMamidipalliRamachand The document discusses quantum computing, how it differs from classical computing, and its potential applications and challenges. Quantum computers use quantum bits that can exist in superpositions of states, allowing them to exponentially speed up computations. Some applications include quantum algorithms for machine learning and decision making. However, current challenges include difficulty consistently maintaining quantum states due to environmental interference. Many companies are actively researching quantum computing as it may transform computing in the future.
Quantum computer
Quantum computerKumar Abhijeet The document provides a comprehensive overview of quantum computers, detailing their operation based on quantum physics through qubits, and distinct features such as superposition and entanglement. It discusses their advantages over classical computers, potential applications in fields like cryptography and medicine, as well as their shortcomings and issues related to dependency on technology. Lastly, it includes references for further exploration of quantum information processing and existing quantum computing platforms.
Quantum computing
Quantum computing Ranajeet Barik Quantum computing utilizes the unique properties of subatomic particles to perform faster and more energy-efficient operations than classical computers. It has a rich history marked by significant milestones including the development of key algorithms and the construction of working quantum computers. While it offers advantages in several fields, including security and medicine, it also faces challenges such as instability and incomplete technology development.
Quantum computer
Quantum computerMohammad Ghorbani This document provides an overview of quantum computers, including their history, workings, applications, and comparisons to classical computers. It discusses how quantum computers can perform computations using superposition and entanglement to analyze multiple states simultaneously. The document traces the origins of quantum computing to proposals by Yuri Manin in 1980 and Richard Feynman in 1981. It explains that while a 2-bit classical computer can only analyze one state at a time, a 2-qubit quantum computer can analyze all 4 possible states simultaneously. The document suggests quantum computers may be able to solve currently intractable problems involving enormous data more efficiently, with examples including finding distant planets, earlier disease detection, and improved drug development.
Introduction to quantum computing
Introduction to quantum computingMuhammad Miqdad Khan Quantum computing uses the principles of quantum mechanics to perform calculations. Richard Feynman first proposed the idea in 1982. Major developments include David Deutsch developing the quantum turing machine in 1985, and Peter Shor creating an algorithm to factor large numbers in polynomial time in 1994. Quantum computers represent data using qubits which can be in superposition of both 0 and 1 states, allowing exponentially more information to be processed than classical computers. Potential applications include machine learning, genomics, chemistry, materials science, cryptography, and defense.
Quantum computers
Quantum computersGeet Patel This document provides an overview of quantum computers, including their advantages over classical computers, key concepts like superposition and entanglement, and the history and current state of quantum computing research and development. It discusses how quantum computers work using quantum bits rather than binary bits to store information, and how companies like D-Wave are developing quantum processors. The timeline details major advances, from early theoretical work in the 1970s-1980s to experimental demonstrations of quantum gates and algorithms in the 1990s-2000s to current multi-qubit systems being researched.
Write up QUANTUM COMPUTING.docx
Write up QUANTUM COMPUTING.docxMuhammad Habibullah Siddiqui Quantum computing harnesses quantum mechanics to perform computations using quantum bits (qubits) that can exist in superpositions of states. It has the potential to solve certain problems, like integer factorization, much faster than classical computers. Several companies like IBM, Microsoft, Google, and D-Wave are actively researching and developing quantum computers using different technologies like ion traps and superconducting circuits. Potential applications include simulation, machine learning, cryptography, and more. However, building a large-scale, practical quantum computer remains a significant technical challenge.
Introduction to quantum computing
Introduction to quantum computingIqra Naz This document provides an introduction to quantum computing. It defines quantum technology and quantum computing, explaining that quantum computers make use of quantum phenomena like superposition and entanglement. It describes how quantum computers differ from classical computers in their ability to be in multiple states at once using qubits. Examples are given of existing quantum computers from IBM and Google. The document concludes by offering recommendations for how to learn quantum computing, including online courses and accessing IBM's quantum computer.
Ad
More from jeetendra mandal (20)
what is OSI model
what is OSI modeljeetendra mandal The OSI model partitions network communication into seven abstraction layers, with each layer defining a class of functionality. Layer 1 defines physical aspects like cables and signals. Layer 2 handles data flow and error checking. Layers 3 through 7 handle higher-level functions, with layer 3 defining routing and switching, layer 4 ensuring reliable data transfer, layer 5 managing sessions, layer 6 translating data, and layer 7 supporting direct user interaction. The model provides a standard framework for network communication that supports both connection-oriented and connectionless services and facilitates interoperability between different technologies.
What is AWS Cloud Watch
What is AWS Cloud Watchjeetendra mandal Amazon CloudWatch is an AWS service that monitors resources and applications in the AWS cloud. It collects metrics, logs, and other operational data to provide visibility into resource utilization, application performance, and overall operational health. CloudWatch allows users to set alarms that watch metrics and trigger notifications or actions when thresholds are crossed. It also enables log aggregation, visualization of metrics and logs on dashboards, and integration with other AWS services like EC2 Auto Scaling and SNS.
What is AWS Fargate
What is AWS Fargatejeetendra mandal AWS Fargate is a serverless compute engine that allows you to run containers without having to manage servers or clusters. With Fargate, you specify your application's resource needs and AWS handles provisioning the infrastructure required to run the containers. This removes the need to choose server types, decide when to scale resources, or optimize cluster packing. You pay only for the resources used by your containers. Fargate provides isolation at the individual task/pod level so containers don't share underlying resources. It works with both Amazon ECS and EKS, allowing containerized applications to be deployed with Fargate as the compute provider.
Eventual consistency vs Strong consistency what is the difference
Eventual consistency vs Strong consistency what is the differencejeetendra mandal Eventual consistency guarantees that if an update is made to one node, the update will eventually be propagated to all other replicas. This allows for high availability, though reads may temporarily return stale data. Strong consistency ensures all replicas are immediately updated and consistent before responding to reads or writes, at the cost of reduced availability during updates. The examples demonstrate how a social media "like" count may be seen differently by users until the update propagates under eventual consistency, whereas strong consistency would delay responses until global consistency is achieved.
Batch Processing vs Stream Processing Difference
Batch Processing vs Stream Processing Differencejeetendra mandal Batch processing involves processing large batches of data together, and has higher latency measured in minutes or hours. Stream processing processes continuous data in real-time with lower latency measured in milliseconds or seconds. The key differences are that batch processing handles large batches of data while stream processing handles individual records or micro-batches, and batch processing has higher latency while stream processing has lower latency.
Difference between Database vs Data Warehouse vs Data Lake
Difference between Database vs Data Warehouse vs Data Lakejeetendra mandal A database is a collection of structured data that is accessed electronically through a database management system. It stores data to support online transaction processing. Databases provide security, data integrity, querying capabilities, indexing for performance, and flexible deployment options. Common database types include relational, document, key-value, wide-column, and graph databases. Applications across industries rely on databases to store various types of data.
Difference between Client Polling vs Server Push vs Websocket vs Long Polling
Difference between Client Polling vs Server Push vs Websocket vs Long Pollingjeetendra mandal Client polling, server push, websockets, and long polling are methods for real-time communication between clients and servers. Client polling involves the client regularly requesting updates from the server. Server push allows the server to proactively send updates to clients. With long polling, the server holds client requests until there is an update to send. Websockets provide full-duplex communication over a single TCP connection. Server push uses server-sent events to stream data from server to client without polling. Websockets enable bidirectional communication while server push only allows server to client. Both have advantages for different use cases depending on the need for bidirectional updates.
Difference between TLS 1.2 vs TLS 1.3 and tutorial of TLS2 and TLS2 version c...
Difference between TLS 1.2 vs TLS 1.3 and tutorial of TLS2 and TLS2 version c...jeetendra mandal TLS 1.3 offers improvements over TLS 1.2 such as faster handshake times, simpler cipher suites, and stronger security. TLS 1.3 reduces the number of round trips needed for handshake from two to one, improving performance. It also removes support for vulnerable algorithms and features like renegotiation. While TLS 1.2 is still widely used, migration to TLS 1.3 is growing due to its benefits like reduced latency, improved website performance, and more secure connections. Businesses may need to support both versions during transition to secure communications with legacy systems.
Difference Program vs Process vs Thread
Difference Program vs Process vs Threadjeetendra mandal Programs, processes, and threads are related but distinct concepts. A program is a passive set of instructions stored on disk. When executed, a program becomes an active process, which has its own memory space and resources. A process can contain multiple threads of execution that can run concurrently within the same memory space, allowing for parallelism. Threads are lightweight in comparison to processes and provide a way to improve application performance through parallel computing.
Carrier Advice for a JAVA Developer How to Become a Java Programmer
Carrier Advice for a JAVA Developer How to Become a Java Programmerjeetendra mandal This document provides information on the career path for a Java developer. It discusses Java as a programming language, the responsibilities of Java developers including tasks like designing and building Java applications. It also describes the roles of senior and junior Java developers. The document emphasizes important Java concepts like OOP principles, frameworks like Spring, tools like JUnit, and skills like debugging. It explains why Java remains in high demand and skills a Java developer should focus on improving like APIs, design patterns, the JVM, and problem-solving.
How to become a Software Tester Carrier Path for Software Quality Tester
How to become a Software Tester Carrier Path for Software Quality Testerjeetendra mandal Manual testing refers to testing software manually to identify bugs, where manual testers collaborate with developers to evaluate test scripts and resolve issues. Automated testing uses scripted testing tools to validate software functionality and requirements faster than manual testing. The document discusses the skills required for software testers, including knowledge of databases, Linux commands, test management and defect tracking tools, programming languages, analytical skills, and communication skills. It also outlines typical software tester career paths and roles at different experience levels.
How to become a Software Engineer Carrier Path for Software Developer
How to become a Software Engineer Carrier Path for Software Developerjeetendra mandal Software engineers are responsible for creating different software programs that power many technologies and applications we use everyday. There are many types and roles for software engineers, including developing applications, systems, security features, and ensuring quality. Becoming a software engineer involves obtaining a relevant degree, mastering programming skills, databases, algorithms, software engineering theory, and gaining experience through projects. Experience can then be used to find jobs through websites, recruiters, freelancing, or networking in local tech communities. The field continues to evolve, with growing opportunities in areas like cloud, AI, blockchain, and cybersecurity.
Events vs Notifications
Events vs Notificationsjeetendra mandal Event is an object that describes a state change in an application or system. It is generated by some user or automated activity. Event listeners register to receive notifications of events and take appropriate actions. Notifications are messages or alerts sent by an application to notify users, either within the app or as push notifications when the app is not open. Notifications are used to encourage users to try features, alert them to non-critical issues like updates, or prompt them to enable push notifications if beneficial. Events and notifications are both mechanisms for asynchronous communication in applications and systems.
Microservice Architecture Software Architecture Microservice Design Pattern
Microservice Architecture Software Architecture Microservice Design Patternjeetendra mandal Architecture serves as a blueprint for a system, providing abstraction to manage complexity and coordination among components. It defines a structured solution meeting requirements while optimizing qualities like performance and security. Microservices are small, independent, loosely coupled services written by small teams, deployed independently using APIs. They improve build/deploy speed and scalability over monolithic architectures.
Event Driven Software Architecture Pattern
Event Driven Software Architecture Patternjeetendra mandal An event-driven architecture consists of event producers that generate event streams and event consumers that listen for events. It allows for loose coupling between components and asynchronous event handling. Key aspects include publish/subscribe messaging patterns, event processing by middleware, and real-time or near real-time information flow. Benefits include scalability, loose coupling, fault tolerance, and the ability to add new consumers easily. Challenges include guaranteed delivery, processing events in order or exactly once across multiple consumer instances. Common tools used include Apache Kafka, Apache ActiveMQ, Redis, and Apache Pulsar.
Top 5 Software Architecture Pattern Event Driven SOA Microservice Serverless ...
Top 5 Software Architecture Pattern Event Driven SOA Microservice Serverless ...jeetendra mandal The document discusses various software architecture styles, including event-driven, service-oriented (SOA), microservices, serverless, and containerized architectures. Each architecture addresses different challenges in system design, focusing on aspects like modular service development, scalability, and operational efficiency. The document provides insights into the benefits and principles of these architectural approaches, emphasizing the importance of flexibility and abstraction in managing system complexities.
Observability vs APM vs Monitoring Comparison
Observability vs APM vs Monitoring Comparisonjeetendra mandal APM is a tool that monitors application performance and user experience by tracking metrics like load and KPIs. It allows seeing how applications are used by real users and identifying problems that impact sales or brand experience. Observability aggregates data from logs, metrics, and traces to assess overall system health, while APM directly focuses on gauging user experience. Both ensure good user experience but in different ways - APM actively collects data related to response time, while observability passively examines various data sources. Monitoring tracks predefined metrics over time to understand system status, but observability analyzes related data to determine the root cause of issues.
Disaster Recovery vs Data Backup what is the difference
Disaster Recovery vs Data Backup what is the differencejeetendra mandal Data backup involves making copies of data to protect against accidental deletion, corruption, or issues with software upgrades. Disaster recovery refers to processes for quickly restoring access and operations after an outage by switching to redundant servers and storage. While backups protect against data loss, disaster recovery ensures business continuity through tested plans to restore full systems and infrastructure. It is crucial for companies to have both backup and disaster recovery plans in place to avoid costly downtime and lost revenue from data or system loss.
What is Spinnaker? Spinnaker tutorial
What is Spinnaker? Spinnaker tutorialjeetendra mandal Spinnaker is an open source continuous delivery platform that provides automated deployment capabilities for releasing software changes. It is designed to increase release velocity and reduce risk associated with updating applications. Spinnaker uses a microservices architecture and provides features like multicloud deployments, automated pipelines, deployment verification, and flexibility and extensibility through customization and extensions. It works by managing applications and their deployments through concepts like pipelines, stages, server groups, and deployment strategies.
Difference between Github vs Gitlab vs Bitbucket
Difference between Github vs Gitlab vs Bitbucketjeetendra mandal Git is a source control management tool that tracks files by recording who made modifications, which files changed and what the changes were, and which files were added or deleted. It provides a commit history that allows users to check modifications by commit ID and see what changes were made in each commit. GitHub, GitLab, and Bitbucket are popular hosted Git services that allow users to create remote repositories, initialize local repositories connected to the remote, give access to multiple contributors, and push and pull changes between local and remote repositories.
Ad
Recently uploaded (20)
Using the SQLExecutor for Data Quality Management: aka One man's love for the...
Using the SQLExecutor for Data Quality Management: aka One man's love for the...Safe Software The SQLExecutor is one of FME’s most powerful and flexible transformers. Pivvot maintains a robust internal metadata hierarchy used to support ingestion and curation of thousands of external data sources that must be managed for quality before entering our platform. By using the SQLExecutor, Pivvot can efficiently detect problems and perform analysis before data is extracted from our staging environment, removing the need for rollbacks or cycles waisted on a failed job. This presentation will walk through three distinct examples of how Pivvot uses the SQLExecutor to engage its metadata hierarchy and integrate with its Data Quality Management workflows efficiently and within the source postgres database. Spatial Validation –Validating spatial prerequisites before entering a production environment. Reference Data Validation - Dynamically validate domain-ed columns across any table and multiple columns per table. Practical De-duplication - Removing identical or near-identical well point locations from two distinct source datasets in the same table.
AI vs Human Writing: Can You Tell the Difference?
AI vs Human Writing: Can You Tell the Difference?Shashi Sathyanarayana, Ph.D This slide illustrates a side-by-side comparison between human-written, AI-written, and ambiguous content. It highlights subtle cues that help readers assess authenticity, raising essential questions about the future of communication, trust, and thought leadership in the age of generative AI.
FIDO Seminar: New Data: Passkey Adoption in the Workforce.pptx
FIDO Seminar: New Data: Passkey Adoption in the Workforce.pptxFIDO Alliance FIDO Seminar: New Data: Passkey Adoption in the Workforce
Connecting Data and Intelligence: The Role of FME in Machine Learning
Connecting Data and Intelligence: The Role of FME in Machine LearningSafe Software In this presentation, we want to explore powerful data integration and preparation for Machine Learning. FME is known for its ability to manipulate and transform geospatial data, connecting diverse data sources into efficient and automated workflows. By integrating FME with Machine Learning techniques, it is possible to transform raw data into valuable insights faster and more accurately, enabling intelligent analysis and data-driven decision making.
The Future of Technology: 2025-2125 by Saikat Basu.pdf
The Future of Technology: 2025-2125 by Saikat Basu.pdfSaikat Basu A peek into the next 100 years of technology. From Generative AI to Global AI networks to Martian Colonisation to Interstellar exploration to Industrial Nanotechnology to Artificial Consciousness, this is a journey you don't want to miss. Which ones excite you the most? Which ones are you apprehensive about? Feel free to comment! Let the conversation begin!
"Database isolation: how we deal with hundreds of direct connections to the d...
"Database isolation: how we deal with hundreds of direct connections to the d...Fwdays What can go wrong if you allow each service to access the database directly? In a startup, this seems like a quick and easy solution, but as the system scales, problems appear that no one could have guessed.
In my talk, I'll share Solidgate's experience in transforming its architecture: from the chaos of direct connections to a service-based data access model. I will talk about the transition stages, bottlenecks, and how isolation affected infrastructure support. I will honestly show what worked and what didn't. In short, we will analyze the controversy of this talk.
Raman Bhaumik - Passionate Tech Enthusiast
Raman Bhaumik - Passionate Tech EnthusiastRaman Bhaumik A Junior Software Developer with a flair for innovation, Raman Bhaumik excels in delivering scalable web solutions. With three years of experience and a solid foundation in Java, Python, JavaScript, and SQL, she has streamlined task tracking by 20% and improved application stability.
Coordinated Disclosure for ML - What's Different and What's the Same.pdf
Coordinated Disclosure for ML - What's Different and What's the Same.pdfPriyanka Aash Coordinated Disclosure for ML - What's Different and What's the Same
Creating Inclusive Digital Learning with AI: A Smarter, Fairer Future
Creating Inclusive Digital Learning with AI: A Smarter, Fairer FutureImpelsys Inc. Have you ever struggled to read a tiny label on a medicine box or tried to navigate a confusing website? Now imagine if every learning experience felt that way—every single day.
For millions of people living with disabilities, poorly designed content isn’t just frustrating. It’s a barrier to growth. Inclusive learning is about fixing that. And today, AI is helping us build digital learning that’s smarter, kinder, and accessible to everyone.
Accessible learning increases engagement, retention, performance, and inclusivity for everyone. Inclusive design is simply better design.
GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdf
GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdfPriyanka Aash GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now
UserCon Belgium: Honey, VMware increased my bill
UserCon Belgium: Honey, VMware increased my billstijn40 VMware’s pricing changes have forced organizations to rethink their datacenter cost management strategies. While FinOps is commonly associated with cloud environments, the FinOps Foundation has recently expanded its framework to include Scopes—and Datacenter is now officially part of the equation. In this session, we’ll map the FinOps Framework to a VMware-based datacenter, focusing on cost visibility, optimization, and automation. You’ll learn how to track costs more effectively, rightsize workloads, optimize licensing, and drive efficiency—all without migrating to the cloud. We’ll also explore how to align IT teams, finance, and leadership around cost-aware decision-making for on-prem environments. If your VMware bill keeps increasing and you need a new approach to cost management, this session is for you!
OpenACC and Open Hackathons Monthly Highlights June 2025
OpenACC and Open Hackathons Monthly Highlights June 2025OpenACC The OpenACC organization focuses on enhancing parallel computing skills and advancing interoperability in scientific applications through hackathons and training. The upcoming 2025 Open Accelerated Computing Summit (OACS) aims to explore the convergence of AI and HPC in scientific computing and foster knowledge sharing. This year's OACS welcomes talk submissions from a variety of topics, from Using Standard Language Parallelism to Computer Vision Applications. The document also highlights several open hackathons, a call to apply for NVIDIA Academic Grant Program and resources for optimizing scientific applications using OpenACC directives.
FIDO Seminar: Evolving Landscape of Post-Quantum Cryptography.pptx
FIDO Seminar: Evolving Landscape of Post-Quantum Cryptography.pptxFIDO Alliance FIDO Seminar: Evolving Landscape of Post-Quantum Cryptography
PyCon SG 25 - Firecracker Made Easy with Python.pdf
PyCon SG 25 - Firecracker Made Easy with Python.pdfMuhammad Yuga Nugraha Explore the ease of managing Firecracker microVM with the firecracker-python. In this session, I will introduce the basics of Firecracker microVM and demonstrate how this custom SDK facilitates microVM operations easily. We will delve into the design and development process behind the SDK, providing a behind-the-scenes look at its creation and features. While traditional Firecracker SDKs were primarily available in Go, this module brings a simplicity of Python to the table.
Security Tips for Enterprise Azure Solutions
Security Tips for Enterprise Azure SolutionsMichele Leroux Bustamante Delivering solutions to Azure may involve a variety of architecture patterns involving your applications, APIs data and associated Azure resources that comprise the solution. This session will use reference architectures to illustrate the security considerations to protect your Azure resources and data, how to achieve Zero Trust, and why it matters. Topics covered will include specific security recommendations for types Azure resources and related network security practices. The goal is to give you a breadth of understanding as to typical security requirements to meet compliance and security controls in an enterprise solution.
cnc-processing-centers-centateq-p-110-en.pdf
cnc-processing-centers-centateq-p-110-en.pdfAmirStern2 מרכז עיבודים תעשייתי בעל 3/4/5 צירים, עד 22 החלפות כלים עם כל אפשרויות העיבוד הדרושות. בעל שטח עבודה גדול ומחשב נוח וקל להפעלה בשפה העברית/רוסית/אנגלית/ספרדית/ערבית ועוד..
מסוגל לבצע פעולות עיבוד שונות המתאימות לענפים שונים: קידוח אנכי, אופקי, ניסור, וכרסום אנכי.
From Manual to Auto Searching- FME in the Driver's Seat
From Manual to Auto Searching- FME in the Driver's SeatSafe Software Finding a specific car online can be a time-consuming task, especially when checking multiple dealer websites. A few years ago, I faced this exact problem while searching for a particular vehicle in New Zealand. The local classified platform, Trade Me (similar to eBay), wasn’t yielding any results, so I expanded my search to second-hand dealer sites—only to realise that periodically checking each one was going to be tedious. That’s when I noticed something interesting: many of these websites used the same platform to manage their inventories. Recognising this, I reverse-engineered the platform’s structure and built an FME workspace that automated the search process for me. By integrating API calls and setting up periodic checks, I received real-time email alerts when matching cars were listed. In this presentation, I’ll walk through how I used FME to save hours of manual searching by creating a custom car-finding automation system. While FME can’t buy a car for you—yet—it can certainly help you find the one you’re after!
Curietech AI in action - Accelerate MuleSoft development
Curietech AI in action - Accelerate MuleSoft developmentshyamraj55 CurieTech AI in Action – Accelerate MuleSoft Development
Overview:
This presentation demonstrates how CurieTech AI’s purpose-built agents empower MuleSoft developers to create integration workflows faster, more accurately, and with less manual effort
linkedin.com
+12
curietech.ai
+12
meetups.mulesoft.com
+12
.
Key Highlights:
Dedicated AI agents for every stage: Coding, Testing (MUnit), Documentation, Code Review, and Migration
curietech.ai
+7
curietech.ai
+7
medium.com
+7
DataWeave automation: Generate mappings from tables or samples—95%+ complete within minutes
linkedin.com
+7
curietech.ai
+7
medium.com
+7
Integration flow generation: Auto-create Mule flows based on specifications—speeds up boilerplate development
curietech.ai
+1
medium.com
+1
Efficient code reviews: Gain intelligent feedback on flows, patterns, and error handling
youtube.com
+8
curietech.ai
+8
curietech.ai
+8
Test & documentation automation: Auto-generate MUnit test cases, sample data, and detailed docs from code
curietech.ai
+5
curietech.ai
+5
medium.com
+5
Why Now?
Achieve 10× productivity gains, slashing development time from hours to minutes
curietech.ai
+3
curietech.ai
+3
medium.com
+3
Maintain high accuracy with code quality matching or exceeding manual efforts
curietech.ai
+2
curietech.ai
+2
curietech.ai
+2
Ideal for developers, architects, and teams wanting to scale MuleSoft projects with AI efficiency
Conclusion:
CurieTech AI transforms MuleSoft development into an AI-accelerated workflow—letting you focus on innovation, not repetition.
Quantum Computing Explained
- 2. What is a quantum computer? A quantum computer is a machine that performs calculations based on the laws of quantum mechanics, which is the behavior of particles at the sub-atomic level. The nineteenth century was known as the machine age, the twentieth century will go down in history as the information age. I believe the twenty- first century will be the quantum age. Paul Davies, Professor Natural Philosophy – Australian Centre for Astrobiology
- 4. Allowing computers to take advantage of quantum mechanical behaviour allows us to do more than cram increasingly many microscopic components onto a silicon chip. it gives us a whole new framework in which information can be processed in fundamentally new ways. Rather than store information using bits represented by 0s or 1s as conventional digital computers do, quantum computers use quantum bits, or qubits, to encode information as 0s, 1s, or both at the same time. This superposition of states— along with the other quantum mechanical phenomena of entanglement and tunneling—enables quantum computers to manipulate enormous combinations of states at once.
- 5. Representation of Data • Quantum computers, which have not been built yet, would be based on the strange principles of quantum mechanics, in which the smallest particles of light and matter can be in different places at the same time. • In a quantum computer, one "qubit" - quantum bit - could be both 0 and 1 at the same time. So with three qubits of data, a quantum computer could store all eight combinations of 0 and 1 simultaneously. That means a three-qubit quantum computer could calculate eight times faster than a three-bit digital computer. • Typical personal computers today calculate 64 bits of data at a time. A quantum computer with 64 qubits would be 2 to the 64th power faster, or about 18 billion billion times faster. (Note: billion billion is correct.)
- 6. To speed computation, quantum computer tap directly into an unimaginably vast fabric of reality–the strange and counterintuitive world of quantum mechanics. While we are only at the beginning of this journey, quantum computing has the potential to lead to breakthroughs in science, business, and other domains.
- 11. THANK YOU Like the Video and Subscribe the Channel