Architectures And Circuits For Distributed Quantum Computing
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Architectures And Circuits For Distributed Quantum Computing
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Author : Daniele Cuomo
language : en
Publisher: Springer Nature
Release Date : 2025-01-13
Architectures And Circuits For Distributed Quantum Computing written by Daniele Cuomo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-13 with Computers categories.
This thesis treats networks providing quantum computation based on distributed paradigms. Compared to architectures relying on one processor, a network promises to be more scalable and less fault-prone. Developing a distributed system able to provide practical quantum computation comes with numerous challenges, each of which need to be faced with careful analysis in order to create a seamless integration of multiple engineered components. In accordance with hardware technologies, currently under development worldwide, telegates represent the fundamental inter-processor operations. Each telegate consists of several tasks: i) entanglement generation and distribution, ii) local operations, and iii) classical communications. Entanglement generation and distribution is an expensive resource, as it is time-consuming. The primary contribution of this thesis lies in the extensive analysis of some complex scenarios of general interest. We propose numerical models that help to identifythe interdependence between computation and communication. With the support of some of the best tools for reasoning -- i.e. network optimization, circuit manipulation, group theory and ZX-calculus -- we lay out new perspectives on the way a distributed quantum computing system should be developed.
Architectures And Circuits For Distributed Quantum Computing
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Author : Daniele Cuomo
language : en
Publisher:
Release Date : 2024
Architectures And Circuits For Distributed Quantum Computing written by Daniele Cuomo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Electronic circuits categories.
This thesis treats networks providing quantum computation based on distributed paradigms. Compared to architectures relying on one processor, a network promises to be more scalable and less fault-prone. Developing a distributed system able to provide practical quantum computation comes with numerous challenges, each of which need to be faced with careful analysis in order to create a seamless integration of multiple engineered components. In accordance with hardware technologies, currently under development worldwide, telegates represent the fundamental inter-processor operations. Each telegate consists of several tasks: i) entanglement generation and distribution, ii) local operations, and iii) classical communications. Entanglement generation and distribution is an expensive resource, as it is time-consuming. The primary contribution of this thesis lies in the extensive analysis of some complex scenarios of general interest. We propose numerical models that help to identifythe interdependence between computation and communication. With the support of some of the best tools for reasoning -- i.e. network optimization, circuit manipulation, group theory and ZX-calculus -- we lay out new perspectives on the way a distributed quantum computing system should be developed.
Quantum Computing
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Author : Eleanor G. Rieffel
language : en
Publisher: MIT Press
Release Date : 2014-08-29
Quantum Computing written by Eleanor G. Rieffel and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-29 with Computers categories.
A thorough exposition of quantum computing and the underlying concepts of quantum physics, with explanations of the relevant mathematics and numerous examples. The combination of two of the twentieth century's most influential and revolutionary scientific theories, information theory and quantum mechanics, gave rise to a radically new view of computing and information. Quantum information processing explores the implications of using quantum mechanics instead of classical mechanics to model information and its processing. Quantum computing is not about changing the physical substrate on which computation is done from classical to quantum but about changing the notion of computation itself, at the most basic level. The fundamental unit of computation is no longer the bit but the quantum bit or qubit. This comprehensive introduction to the field offers a thorough exposition of quantum computing and the underlying concepts of quantum physics, explaining all the relevant mathematics and offering numerous examples. With its careful development of concepts and thorough explanations, the book makes quantum computing accessible to students and professionals in mathematics, computer science, and engineering. A reader with no prior knowledge of quantum physics (but with sufficient knowledge of linear algebra) will be able to gain a fluent understanding by working through the book.
Reversible Computation Extending Horizons Of Computing
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Author : Irek Ulidowski
language : en
Publisher: Springer Nature
Release Date : 2020-05-13
Reversible Computation Extending Horizons Of Computing written by Irek Ulidowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-13 with Computers categories.
This open access State-of-the-Art Survey presents the main recent scientific outcomes in the area of reversible computation, focusing on those that have emerged during COST Action IC1405 "Reversible Computation - Extending Horizons of Computing", a European research network that operated from May 2015 to April 2019. Reversible computation is a new paradigm that extends the traditional forwards-only mode of computation with the ability to execute in reverse, so that computation can run backwards as easily and naturally as forwards. It aims to deliver novel computing devices and software, and to enhance existing systems by equipping them with reversibility. There are many potential applications of reversible computation, including languages and software tools for reliable and recovery-oriented distributed systems and revolutionary reversible logic gates and circuits, but they can only be realized and have lasting effect if conceptual and firm theoretical foundations are established first.
From Distributed Quantum Computing To Quantum Internet Computing
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Author : Seng W. Loke
language : en
Publisher: John Wiley & Sons
Release Date : 2023-11-28
From Distributed Quantum Computing To Quantum Internet Computing written by Seng W. Loke and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-28 with Computers categories.
From Distributed Quantum Computing to Quantum Internet Computing Understand the future of the internet with this accessible guide Quantum computing, which draws upon the principles of quantum mechanics to perform computing functions unrestricted by the binary language of ordinary computing, has developed with extraordinary speed in recent years. Progress in quantum computing and its related technological subfields, including quantum internet, has been rapid enough to suggest that we are living in a “new Quantum Age.” To understand the future of the internet, it’s now essential to understand the present and future of quantum computing and quantum internet computing. This book provides a groundbreaking overview of this field of technology and its latest developments. It provides readers with a working knowledge of the key topics required to connect quantum computing to the future of distributed computing and the internet, including important issues like quantum protocols, distributed quantum computations, fundamental computations in the quantum internet architecture, and more. The result is an accessible and essential reference for any reader looking to better understand quantum technologies. From Distributed Quantum Computing to Quantum Internet Computing readers will also find: Detailed discussion of topics including qubit states, entanglement, quantum gates, and more. Mathematical background for underlying key concepts. Worked out examples that aim to initiate readers into the emerging area of quantum internet computing. This book is ideal for researchers and graduate students in quantum computing, quantum internet, quantum communications, and related fields, as well as Computer Scientists and Information Technology students and researchers who want an introductory overview to quantum internet computing.
Principles Of Superconducting Quantum Computers
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Author : Daniel D. Stancil
language : en
Publisher: John Wiley & Sons
Release Date : 2022-04-19
Principles Of Superconducting Quantum Computers written by Daniel D. Stancil and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-19 with Computers categories.
Explore the intersection of computer science, physics, and electrical and computer engineering with this discussion of the engineering of quantum computers In Principles of Superconducting Quantum Computers, a pair of distinguished researchers delivers a comprehensive and insightful discussion of the building of quantum computing hardware and systems. Bridging the gaps between computer science, physics, and electrical and computer engineering, the book focuses on the engineering topics of devices, circuits, control, and error correction. Using data from actual quantum computers, the authors illustrate critical concepts from quantum computing. Questions and problems at the end of each chapter assist students with learning and retention, while the text offers descriptions of fundamentals concepts ranging from the physics of gates to quantum error correction techniques. The authors provide efficient implementations of classical computations, and the book comes complete with a solutions manual and demonstrations of many of the concepts discussed within. It also includes: A thorough introduction to qubits, gates, and circuits, including unitary transformations, single qubit gates, and controlled (two qubit) gates Comprehensive explorations of the physics of single qubit gates, including the requirements for a quantum computer, rotations, two-state systems, and Rabi oscillations Practical discussions of the physics of two qubit gates, including tunable qubits, SWAP gates, controlled-NOT gates, and fixed frequency qubits In-depth examinations of superconducting quantum computer systems, including the need for cryogenic temperatures, transmission lines, S parameters, and more Ideal for senior-level undergraduate and graduate students in electrical and computer engineering programs, Principles of Superconducting Quantum Computers also deserves a place in the libraries of practicing engineers seeking a better understanding of quantum computer systems.
Integration Of Ai Quantum Computing And Semiconductor Technology
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Author : Mishra, Brojo Kishore
language : en
Publisher: IGI Global
Release Date : 2024-10-29
Integration Of Ai Quantum Computing And Semiconductor Technology written by Mishra, Brojo Kishore and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Technology & Engineering categories.
The integration of artificial intelligence (AI), quantum computing, and semiconductor technology offers improved innovation to redefine computational power and capabilities. As AI drives advances in machine learning and data processing, quantum computing revolutionizes problem-solving with its ability to handle complex calculations at improved speeds. Advancements in semiconductor technology push the limits of processing efficiency and miniaturization. Continued exploration on this convergence may accelerate breakthroughs in various fields such as cryptography, material science, and healthcare. Integration of AI, Quantum Computing, and Semiconductor Technology explores the intersection of artificial intelligence (AI) and semiconductor technology within the context of quantum computing. It offers a comprehensive analysis of the current advancements, challenges, and potential applications resulting from this convergence. This book covers topics such as cyber security, healthcare monitoring, and machine learning, and is a useful resource for computer engineers, energy scientists, business owners, healthcare administrators, environmental scientists, academicians, and researchers.
Embedded Computer Systems Architectures Modeling And Simulation
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Author : Cristina Silvano
language : en
Publisher: Springer Nature
Release Date : 2023-11-06
Embedded Computer Systems Architectures Modeling And Simulation written by Cristina Silvano and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-06 with Computers categories.
This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 11 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. The conference covers a wide range of embedded systems design aspects, including machine learning accelerators, and power management and programmable dataflow systems.
Financial Modeling Using Quantum Computing
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Author : Anshul Saxena
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-31
Financial Modeling Using Quantum Computing written by Anshul Saxena and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with Business & Economics categories.
Achieve optimized solutions for real-world financial problems using quantum machine learning algorithms Key Features Learn to solve financial analysis problems by harnessing quantum power Unlock the benefits of quantum machine learning and its potential to solve problems Train QML to solve portfolio optimization and risk analytics problems Book DescriptionQuantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems. This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you’ll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing. By the end of this book, you’ll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.What you will learn Explore framework, model and technique deployed for Quantum Computing Understand the role of QC in financial modeling and simulations Apply Qiskit and Pennylane framework for financial modeling Build and train models using the most well-known NISQ algorithms Explore best practices for writing QML algorithms Use QML algorithms to understand and solve data mining problems Who this book is for This book is for financial practitioners, quantitative analysts, or developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite.
Q Programming Quantum Algorithms And Circuits
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-04
Q Programming Quantum Algorithms And Circuits written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-04 with Computers categories.
"Q#: Programming Quantum Algorithms and Circuits" "Q#: Programming Quantum Algorithms and Circuits" offers a comprehensive and state-of-the-art introduction to the theory and practical realization of quantum computing using Q#, Microsoft's domain-specific language for quantum programming. The book begins by carefully laying out the principles and mathematical underpinnings of quantum information, including qubit representations, quantum gates, and circuit universalities. Readers are guided through essential quantum phenomena such as entanglement, superposition, measurement theory, and practical limitations like the no-cloning theorem, providing a foundational understanding essential for advanced study and real-world application. Transitioning from theory to practice, the text provides an in-depth exploration of Q# itself—its syntax, core concepts, and integration with powerful development tools like the Quantum Development Kit (QDK). The reader is equipped with practical knowledge on project structuring, library utilization, simulation, resource estimation, and host interoperability, ensuring the skills necessary to develop, analyze, and deploy robust quantum programs. Each chapter methodically addresses core aspects of quantum programming: qubit management, state preparation, gate construction, hybrid computation, circuit optimization, and error correction, all through the lens of hands-on Q# code and industry best practices. Moving beyond fundamentals, the book empowers readers to design and optimize advanced quantum algorithms—from Grover’s search and quantum Fourier transforms to variational and hybrid approaches—and tackle critical themes such as fault tolerance, testing, debugging, and circuit verification. Real-world applications in quantum chemistry, machine learning, cryptography, and networked computing are explored in depth, including best practices for integrating with modern CI/CD pipelines and leveraging cloud-based quantum hardware via Azure Quantum. A strong collaborative ethos rounds out the text, highlighting community projects, open-source engagement, and strategies for scalability as the field rapidly evolves. This book is an indispensable guide for students, researchers, and practitioners seeking to harness the full capabilities of Q# for quantum algorithm development.