[PDF] Quantum Computer Systems Research For Noisy Intermediate Scale Quantum Computers - eBooks Review

Quantum Computer Systems Research For Noisy Intermediate Scale Quantum Computers


Quantum Computer Systems Research For Noisy Intermediate Scale Quantum Computers
DOWNLOAD

Download Quantum Computer Systems Research For Noisy Intermediate Scale Quantum Computers PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Quantum Computer Systems Research For Noisy Intermediate Scale Quantum Computers book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Quantum Computer Systems Research For Noisy Intermediate Scale Quantum Computers


Quantum Computer Systems Research For Noisy Intermediate Scale Quantum Computers
DOWNLOAD
Author : Yongshan Ding
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-06-17

Quantum Computer Systems Research For Noisy Intermediate Scale Quantum Computers written by Yongshan Ding and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-17 with Computers categories.


This book targets computer scientists and engineers who are familiar with concepts in classical computer systems but are curious to learn the general architecture of quantum computing systems. It gives a concise presentation of this new paradigm of computing from a computer systems' point of view without assuming any background in quantum mechanics. As such, it is divided into two parts. The first part of the book provides a gentle overview on the fundamental principles of the quantum theory and their implications for computing. The second part is devoted to state-of-the-art research in designing practical quantum programs, building a scalable software systems stack, and controlling quantum hardware components. Most chapters end with a summary and an outlook for future directions. This book celebrates the remarkable progress that scientists across disciplines have made in the past decades and reveals what roles computer scientists and engineers can play to enable practical-scale quantum computing.



Quantum Computer Systems


Quantum Computer Systems
DOWNLOAD
Author : Yongshan Ding
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Quantum Computer Systems written by Yongshan Ding and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.


This book targets computer scientists and engineers who are familiar with concepts in classical computer systems but are curious to learn the general architecture of quantum computing systems. It gives a concise presentation of this new paradigm of computing from a computer systems' point of view without assuming any background in quantum mechanics. As such, it is divided into two parts. The first part of the book provides a gentle overview on the fundamental principles of the quantum theory and their implications for computing. The second part is devoted to state-of-the-art research in designing practical quantum programs, building a scalable software systems stack, and controlling quantum hardware components. Most chapters end with a summary and an outlook for future directions. This book celebrates the remarkable progress that scientists across disciplines have made in the past decades and reveals what roles computer scientists and engineers can play to enable practical-scale quantum computing.



Quantum Computing For Programmers


Quantum Computing For Programmers
DOWNLOAD
Author : Robert Hundt
language : en
Publisher: Cambridge University Press
Release Date : 2022-03-31

Quantum Computing For Programmers written by Robert Hundt and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-31 with Computers categories.


Takes readers from the basics to detailed derivations and open-source implementations of more than 25 fundamental quantum algorithms.



From Distributed Quantum Computing To Quantum Internet Computing


From Distributed Quantum Computing To Quantum Internet Computing
DOWNLOAD
Author : Seng W. Loke
language : en
Publisher: John Wiley & Sons
Release Date : 2023-12-19

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 2023-12-19 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.



Quantum Software Engineering


Quantum Software Engineering
DOWNLOAD
Author : Manuel A. Serrano
language : en
Publisher: Springer Nature
Release Date : 2022-10-12

Quantum Software Engineering written by Manuel A. Serrano and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-12 with Computers categories.


This book presents a set of software engineering techniques and tools to improve the productivity and assure the quality in quantum software development. Through the collaboration of the software engineering community with the quantum computing community new architectural paradigms for quantum-enabled computing systems will be anticipated and developed. The book starts with a chapter that introduces the main concepts and general foundations related to quantum computing. This is followed by a number of chapters dealing with the quantum software engineering methods and techniques. Topics like the Talavera Manifesto for quantum software engineering, frameworks for hybrid systems, formal methods for quantum software engineering, quantum software modelling languages, and reengineering for quantum software are covered in this part. A second set of chapters then deals with quantum software environments and tools, detailing platforms like QuantumPath®, Classiq as well as quantum software frameworks for deep learning. Overall, the book aims at academic researchers and practitioners involved in the creation of quantum information systems and software platforms. It is assumed that readers have a background in traditional software engineering and information systems.



Robotic Computing On Fpgas


Robotic Computing On Fpgas
DOWNLOAD
Author : Shaoshan Liu
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Robotic Computing On Fpgas written by Shaoshan Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.


This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techniques. This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products, including commercial autonomous vehicles and space exploration robots.



Deep Learning Systems


Deep Learning Systems
DOWNLOAD
Author : Andres Rodriguez
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Deep Learning Systems written by Andres Rodriguez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.


This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications. The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are a significant challenge in the deployment of DL models for many applications. Therefore, it is imperative to codesign algorithms, compilers, and hardware to accelerate advances in this field with holistic system-level and algorithm solutions that improve performance, power, and efficiency. Advancing DL systems generally involves three types of engineers: (1) data scientists that utilize and develop DL algorithms in partnership with domain experts, such as medical, economic, or climate scientists; (2) hardware designers that develop specialized hardware to accelerate the components in the DL models; and (3) performance and compiler engineers that optimize software to run more efficiently on a given hardware. Hardware engineers should be aware of the characteristics and components of production and academic models likely to be adopted by industry to guide design decisions impacting future hardware. Data scientists should be aware of deployment platform constraints when designing models. Performance engineers should support optimizations across diverse models, libraries, and hardware targets. The purpose of this book is to provide a solid understanding of (1) the design, training, and applications of DL algorithms in industry; (2) the compiler techniques to map deep learning code to hardware targets; and (3) the critical hardware features that accelerate DL systems. This book aims to facilitate co-innovation for the advancement of DL systems. It is written for engineers working in one or more of these areas who seek to understand the entire system stack in order to bettercollaborate with engineers working in other parts of the system stack. The book details advancements and adoption of DL models in industry, explains the training and deployment process, describes the essential hardware architectural features needed for today's and future models, and details advances in DL compilers to efficiently execute algorithms across various hardware targets. Unique in this book is the holistic exposition of the entire DL system stack, the emphasis on commercial applications, and the practical techniques to design models and accelerate their performance. The author is fortunate to work with hardware, software, data scientist, and research teams across many high-technology companies with hyperscale data centers. These companies employ many of the examples and methods provided throughout the book.



In Near Memory Computing


In Near Memory Computing
DOWNLOAD
Author : Daichi Fujiki
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

In Near Memory Computing written by Daichi Fujiki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.


This book provides a structured introduction of the key concepts and techniques that enable in-/near-memory computing. For decades, processing-in-memory or near-memory computing has been attracting growing interest due to its potential to break the memory wall. Near-memory computing moves compute logic near the memory, and thereby reduces data movement. Recent work has also shown that certain memories can morph themselves into compute units by exploiting the physical properties of the memory cells, enabling in-situ computing in the memory array. While in- and near-memory computing can circumvent overheads related to data movement, it comes at the cost of restricted flexibility of data representation and computation, design challenges of compute capable memories, and difficulty in system and software integration. Therefore, wide deployment of in-/near-memory computing cannot be accomplished without techniques that enable efficient mapping of data-intensive applications to such devices,without sacrificing accuracy or increasing hardware costs excessively. This book describes various memory substrates amenable to in- and near-memory computing, architectural approaches for designing efficient and reliable computing devices, and opportunities for in-/near-memory acceleration of different classes of applications.



Single Flux Quantum Integrated Circuit Design


Single Flux Quantum Integrated Circuit Design
DOWNLOAD
Author : Gleb Krylov
language : en
Publisher: Springer Nature
Release Date : 2024-04-15

Single Flux Quantum Integrated Circuit Design written by Gleb Krylov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Technology & Engineering categories.


High efficiency, large scale, stationary computing systems – supercomputers and data centers – are becoming increasingly important due to the movement of data storage and processing onto remote cloud servers. This book is dedicated to a technology particularly appropriate for this application – superconductive electronics, in particular, rapid single flux quantum circuits. The primary purpose of this book is to introduce and systematize recent developments in superconductive electronics into a cohesive whole to support the further development of large scale computing systems. A brief background into the physics of superconductivity and the operation of common superconductive devices is provided, followed by an introduction into different superconductive logic families, including the logic gates, interconnect, and bias current distribution. Synchronization, fabrication, and electronic design automation methodologies are presented, reviewing both widely established concepts and techniques as well as recent approaches. Issues related to memory, synchronization, interconnects, coupling noise, bias networks, signal interfaces, and deep scaling of superconductive structures and design for testability are described, and models, expressions, circuits, algorithms, and design methodologies are discussed and placed in context. The aim of this book is to provide insight and engineering intuition into the design of large scale digital superconductive circuits and systems.



Quantum Computing Innovations And Applications In Modern Research


Quantum Computing Innovations And Applications In Modern Research
DOWNLOAD
Author : Bruno Carpentieri
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-08-21

Quantum Computing Innovations And Applications In Modern Research written by Bruno Carpentieri and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-21 with Computers categories.


This volume explores the potential of quantum technologies. The book features insightful perspectives on quantum mechanics, computational paradigms, and practical applications, and it explores key concepts such as quantum entanglement, adiabatic computing, and quantum algorithms. Readers will discover how quantum systems are revolutionizing fields like cryptography, materials science, and artificial intelligence, promising faster computations and significant advances. Through a blend of theoretical exploration and practical insights, this book navigates the complexities of quantum communication, error correction, and the development of scalable quantum architectures. Ideal for researchers, students, and enthusiasts alike, it offers a gateway to understanding the current capabilities and future directions of quantum computing, demonstrating its potential for transforming technical developments and pushing scientific frontiers.