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| quantum computing for computer scientists: Quantum Computing for Computer Scientists Noson S. Yanofsky, Mirco A. Mannucci, 2008-08-11 The multidisciplinary field of quantum computing strives to exploit some of the uncanny aspects of quantum mechanics to expand our computational horizons. Quantum Computing for Computer Scientists takes readers on a tour of this fascinating area of cutting-edge research. Written in an accessible yet rigorous fashion, this book employs ideas and techniques familiar to every student of computer science. The reader is not expected to have any advanced mathematics or physics background. After presenting the necessary prerequisites, the material is organized to look at different aspects of quantum computing from the specific standpoint of computer science. There are chapters on computer architecture, algorithms, programming languages, theoretical computer science, cryptography, information theory, and hardware. The text has step-by-step examples, more than two hundred exercises with solutions, and programming drills that bring the ideas of quantum computing alive for today's computer science students and researchers. |
| quantum computing for computer scientists: Quantum Computing for Computer Scientists Noson S. Yanofsky, Mirco A. Mannucci, 2014-05-14 Finally, a textbook that explains quantum computing using techniques and concepts familiar to computer scientists. |
| quantum computing for computer scientists: Quantum Walks for Computer Scientists Salvador Elías Venegas-Andraca, 2008 Quantum computation, one of the latest joint ventures between physics and the theory of computation, is a scientific field whose main goals include the development of hardware and algorithms based on the quantum mechanical properties of those physical systems used to implement such algorithms. Solving difficult tasks (for example, the Satisfiability Problem and other NP-complete problems) requires the development of sophisticated algorithms, many of which employ stochastic processes as their mathematical basis. Discrete random walks are a popular choice among those stochastic processes. Inspired on the success of discrete random walks in algorithm development, quantum walks, an emerging field of quantum computation, is a generalization of random walks into the quantum mechanical world. The purpose of this lecture is to provide a concise yet comprehensive introduction to quantum walks.--BOOK JACKET. |
| quantum computing for computer scientists: Quantum Computing From The Ground Up Riley Tipton Perry, 2012-07-11 Quantum computing — the application of quantum mechanics to information — represents a fundamental break from classical information and promises to dramatically increase a computer's power. Many difficult problems, such as the factorization of large numbers, have so far resisted attack by classical computers yet are easily solved with quantum computers. If they become feasible, quantum computers will end standard practices such as RSA encryption.Most of the books or papers on quantum computing require (or assume) prior knowledge of certain areas such as linear algebra or quantum mechanics. The majority of the currently-available literature is hard to understand for the average computer enthusiast or interested layman. This text attempts to teach quantum computing from the ground up in an easily readable way, providing a comprehensive tutorial that includes all the necessary mathematics, computer science and physics. |
| quantum computing for computer scientists: Programming the Universe Seth Lloyd, 2007-03-13 Is the universe actually a giant quantum computer? According to Seth Lloyd, the answer is yes. All interactions between particles in the universe, Lloyd explains, convey not only energy but also information–in other words, particles not only collide, they compute. What is the entire universe computing, ultimately? “Its own dynamical evolution,” he says. “As the computation proceeds, reality unfolds.” Programming the Universe, a wonderfully accessible book, presents an original and compelling vision of reality, revealing our world in an entirely new light. |
| quantum computing for computer scientists: Quantum Computing for Everyone Chris Bernhardt, 2019-03-19 An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for the general reader. Quantum computing is a beautiful fusion of quantum physics and computer science, incorporating some of the most stunning ideas from twentieth-century physics into an entirely new way of thinking about computation. In this book, Chris Bernhardt offers an introduction to quantum computing that is accessible to anyone who is comfortable with high school mathematics. He explains qubits, entanglement, quantum teleportation, quantum algorithms, and other quantum-related topics as clearly as possible for the general reader. Bernhardt, a mathematician himself, simplifies the mathematics as much as he can and provides elementary examples that illustrate both how the math works and what it means. Bernhardt introduces the basic unit of quantum computing, the qubit, and explains how the qubit can be measured; discusses entanglement—which, he says, is easier to describe mathematically than verbally—and what it means when two qubits are entangled (citing Einstein's characterization of what happens when the measurement of one entangled qubit affects the second as “spooky action at a distance”); and introduces quantum cryptography. He recaps standard topics in classical computing—bits, gates, and logic—and describes Edward Fredkin's ingenious billiard ball computer. He defines quantum gates, considers the speed of quantum algorithms, and describes the building of quantum computers. By the end of the book, readers understand that quantum computing and classical computing are not two distinct disciplines, and that quantum computing is the fundamental form of computing. The basic unit of computation is the qubit, not the bit. |
| quantum computing for computer scientists: Quantum Computing Explained David McMahon, 2007-12-14 A self-contained treatment of the fundamentals of quantum computing This clear, practical book takes quantum computing out of the realm of theoretical physics and teaches the fundamentals of the field to students and professionals who have not had training in quantum computing or quantum information theory, including computer scientists, programmers, electrical engineers, mathematicians, physics students, and chemists. The author cuts through the conventions of typical jargon-laden physics books and instead presents the material through his unique how-to approach and friendly, conversational style. Readers will learn how to carry out calculations with explicit details and will gain a fundamental grasp of: * Quantum mechanics * Quantum computation * Teleportation * Quantum cryptography * Entanglement * Quantum algorithms * Error correction A number of worked examples are included so readers can see how quantum computing is done with their own eyes, while answers to similar end-of-chapter problems are provided for readers to check their own work as they learn to master the information. Ideal for professionals and graduate-level students alike, Quantum Computing Explained delivers the fundamentals of quantum computing readers need to be able to understand current research papers and go on to study more advanced quantum texts. |
| quantum computing for computer scientists: Quantum Computer Science N. David Mermin, 2007-08-30 In the 1990's it was realized that quantum physics has some spectacular applications in computer science. This book is a concise introduction to quantum computation, developing the basic elements of this new branch of computational theory without assuming any background in physics. It begins with an introduction to the quantum theory from a computer-science perspective. It illustrates the quantum-computational approach with several elementary examples of quantum speed-up, before moving to the major applications: Shor's factoring algorithm, Grover's search algorithm, and quantum error correction. The book is intended primarily for computer scientists who know nothing about quantum theory, but will also be of interest to physicists who want to learn the theory of quantum computation, and philosophers of science interested in quantum foundational issues. It evolved during six years of teaching the subject to undergraduates and graduate students in computer science, mathematics, engineering, and physics, at Cornell University. |
| quantum computing for computer scientists: Quantum Computing Eleanor G. Rieffel, Wolfgang H. Polak, 2011-03-04 A thorough exposition of quantum computing and the underlying concepts of quantum physics, with explanations of the relevant mathematics and numerous examples. |
| quantum computing for computer scientists: Elements of Quantum Computing Seiki Akama, 2014-07-14 A quantum computer is a computer based on a computational model which uses quantum mechanics, which is a subfield of physics to study phenomena at the micro level. There has been a growing interest on quantum computing in the 1990's and some quantum computers at the experimental level were recently implemented. Quantum computers enable super-speed computation and can solve some important problems whose solutions were regarded impossible or intractable with traditional computers. This book provides a quick introduction to quantum computing for readers who have no backgrounds of both theory of computation and quantum mechanics. “Elements of Quantum Computing” presents the history, theories and engineering applications of quantum computing. The book is suitable to computer scientists, physicists and software engineers. |
| quantum computing for computer scientists: Quantum Computing National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Intelligence Community Studies Board, Computer Science and Telecommunications Board, Committee on Technical Assessment of the Feasibility and Implications of Quantum Computing, 2019-04-27 Quantum mechanics, the subfield of physics that describes the behavior of very small (quantum) particles, provides the basis for a new paradigm of computing. First proposed in the 1980s as a way to improve computational modeling of quantum systems, the field of quantum computing has recently garnered significant attention due to progress in building small-scale devices. However, significant technical advances will be required before a large-scale, practical quantum computer can be achieved. Quantum Computing: Progress and Prospects provides an introduction to the field, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing real-world problems. This report considers hardware and software requirements, quantum algorithms, drivers of advances in quantum computing and quantum devices, benchmarks associated with relevant use cases, the time and resources required, and how to assess the probability of success. |
| quantum computing for computer scientists: Quantum Computing Jozef Gruska, 1999 This book takes a very broad view of quantum computing - from very basic principles to algorithms, automata, networks, quantum information and quantum processors. |
| quantum computing for computer scientists: Mathematics of Quantum Computation Ranee K. Brylinski, Goong Chen, 2002-02-14 Among the most exciting developments in science today is the design and construction of the quantum computer. Its realization will be the result of multidisciplinary efforts, but ultimately, it is mathematics that lies at the heart of theoretical quantum computer science. Mathematics of Quantum Computation brings together leading computer sc |
| quantum computing for computer scientists: Quantum Computing Since Democritus Scott Aaronson, 2013-03-14 Takes students and researchers on a tour through some of the deepest ideas of maths, computer science and physics. |
| quantum computing for computer scientists: Quantum Computer Systems Yongshan Ding, 2020-06-17 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 computer scientists: Will We Ever Have a Quantum Computer? Mikhail I. Dyakonov, 2020-03-23 This book addresses a broad community of physicists, engineers, computer scientists and industry professionals, as well as the general public, who are aware of the unprecedented media hype surrounding the supposedly imminent new era of quantum computing. The central argument of this book is that the feasibility of quantum computing in the physical world is extremely doubtful. The hypothetical quantum computer is not simply a quantum variant of the conventional digital computer, but rather a quantum extension of a classical analog computer operating with continuous parameters. In order to have a useful machine, the number of continuous parameters to control would have to be of such an astronomically large magnitude as to render the endeavor virtually infeasible. This viewpoint is based on the author’s expert understanding of the gargantuan challenges that would have to be overcome to ever make quantum computing a reality. Knowledge of secondary-school-level physics and math will be sufficient for understanding most of the text. |
| quantum computing for computer scientists: Quantum Computing in Action Johan Vos, 2022-02-08 Quantum computing is on the horizon, ready to impact everything from scientific research to encryption and security. But you don't need a physics degree to get started in quantum computing. Quantum Computing for Developers shows you how to leverage your existing Java skills into writing your first quantum software so you're ready for the revolution. Rather than a hardware manual or academic theory guide, this book is focused on practical implementations of quantum computing algorithms. Using Strange, a Java-based quantum computer simulator, you'll go hands-on with quantum computing's core components including qubits and quantum gates as you write your very first quantum code. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. |
| quantum computing for computer scientists: Frontiers of Engineering National Academy of Engineering, 2019-02-28 This volume presents papers on the topics covered at the National Academy of Engineering's 2018 US Frontiers of Engineering Symposium. Every year the symposium brings together 100 outstanding young leaders in engineering to share their cutting-edge research and innovations in selected areas. The 2018 symposium was held September 5-7 and hosted by MIT Lincoln Laboratory in Lexington, Massachusetts. The intent of this book is to convey the excitement of this unique meeting and to highlight innovative developments in engineering research and technical work. |
| quantum computing for computer scientists: Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines Dennis E. Shasha, Cathy Lazere, 2010-04-27 Drawing on interviews with 15 leading scientists, the authors present an unexpected vision: the future of computing is a synthesis with nature. |
| quantum computing for computer scientists: Quantum Machine Learning Peter Wittek, 2014-09-10 Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research. Quantum Machine Learning sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author has carefully constructed a clear comparison of classical learning algorithms and their quantum counterparts, thus making differences in computational complexity and learning performance apparent. This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications. - Bridges the gap between abstract developments in quantum computing with the applied research on machine learning - Provides the theoretical minimum of machine learning, quantum mechanics, and quantum computing - Gives step-by-step guidance to a broader understanding of this emergent interdisciplinary body of research |
| quantum computing for computer scientists: Quantum Computation and Quantum Information Michael A. Nielsen, Isaac L. Chuang, 2010-12-09 One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science. This 10th anniversary edition includes an introduction from the authors setting the work in context. This comprehensive textbook describes such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error-correction. Quantum mechanics and computer science are introduced before moving on to describe what a quantum computer is, how it can be used to solve problems faster than 'classical' computers and its real-world implementation. It concludes with an in-depth treatment of quantum information. Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering. |
| quantum computing for computer scientists: Quantum Computer Systems Yongshan Ding, Frederic T. Chong, 2022-05-31 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 computer scientists: Mathematics of Quantum Computing Wolfgang Scherer, 2019-11-13 This textbook presents the elementary aspects of quantum computing in a mathematical form. It is intended as core or supplementary reading for physicists, mathematicians, and computer scientists taking a first course on quantum computing. It starts by introducing the basic mathematics required for quantum mechanics, and then goes on to present, in detail, the notions of quantum mechanics, entanglement, quantum gates, and quantum algorithms, of which Shor's factorisation and Grover's search algorithm are discussed extensively. In addition, the algorithms for the Abelian Hidden Subgroup and Discrete Logarithm problems are presented and the latter is used to show how the Bitcoin digital signature may be compromised. It also addresses the problem of error correction as well as giving a detailed exposition of adiabatic quantum computing. The book contains around 140 exercises for the student, covering all of the topics treated, together with an appendix of solutions. |
| quantum computing for computer scientists: Classical and Quantum Computation Alexei Yu. Kitaev, Alexander Shen, Mikhail N. Vyalyi, 2002 An introduction to a rapidly developing topic: the theory of quantum computing. Following the basics of classical theory of computation, the book provides an exposition of quantum computation theory. In concluding sections, related topics, including parallel quantum computation, are discussed. |
| quantum computing for computer scientists: Introduction to Quantum Computers Gennady P. Berman, 1998 Quantum computing promises to solve problems which are intractable on digital computers. Highly parallel quantum algorithms can decrease the computational time for some problems by many orders of magnitude. This important book explains how quantum computers can do these amazing things. Several algorithms are illustrated: the discrete Fourier transform, Shor's algorithm for prime factorization; algorithms for quantum logic gates; physical implementations of quantum logic gates in ion traps and in spin chains; the simplest schemes for quantum error correction; correction of errors caused by imperfect resonant pulses; correction of errors caused by the nonresonant actions of a pulse; and numerical simulations of dynamical behavior of the quantum Control-Not gate. An overview of some basic elements of computer science is presented, including the Turing machine, Boolean algebra, and logic gates. The required quantum ideas are explained. |
| quantum computing for computer scientists: Quantum Computing Without Magic Zdzislaw Meglicki, 2008-08-01 How quantum computing is really done: a primer for future quantum device engineers. This text offers an introduction to quantum computing, with a special emphasis on basic quantum physics, experiment, and quantum devices. Unlike many other texts, which tend to emphasize algorithms, Quantum Computing Without Magic explains the requisite quantum physics in some depth, and then explains the devices themselves. It is a book for readers who, having already encountered quantum algorithms, may ask, “Yes, I can see how the algebra does the trick, but how can we actually do it?” By explaining the details in the context of the topics covered, this book strips the subject of the “magic” with which it is so often cloaked. Quantum Computing Without Magic covers the essential probability calculus; the qubit, its physics, manipulation and measurement, and how it can be implemented using superconducting electronics; quaternions and density operator formalism; unitary formalism and its application to Berry phase manipulation; the biqubit, the mysteries of entanglement, nonlocality, separability, biqubit classification, and the Schroedinger's Cat paradox; the controlled-NOT gate, its applications and implementations; and classical analogs of quantum devices and quantum processes. Quantum Computing Without Magic can be used as a complementary text for physics and electronic engineering undergraduates studying quantum computing and basic quantum mechanics, or as an introduction and guide for electronic engineers, mathematicians, computer scientists, or scholars in these fields who are interested in quantum computing and how it might fit into their research programs. |
| quantum computing for computer scientists: Supervised Learning with Quantum Computers Maria Schuld, Francesco Petruccione, 2018-08-30 Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices. |
| quantum computing for computer scientists: Concise Guide to Quantum Computing Sergei Kurgalin, Sergei Borzunov, 2021-02-24 This textbook is intended for practical, laboratory sessions associated with the course of quantum computing and quantum algorithms, as well as for self-study. It contains basic theoretical concepts and methods for solving basic types of problems and gives an overview of basic qubit operations, entangled states, quantum circuits, implementing functions, quantum Fourier transform, phase estimation, etc. The book serves as a basis for the application of new information technologies in education and corporate technical training: theoretical material and examples of practical problems, as well as exercises with, in most cases, detailed solutions, have relation to information technologies. A large number of detailed examples serve to better develop professional competencies in computer science. |
| quantum computing for computer scientists: An Introduction to Quantum Computing Phillip Kaye, Raymond Laflamme, Michele Mosca, 2007 The authors provide an introduction to quantum computing. Aimed at advanced undergraduate and beginning graduate students in these disciplines, this text is illustrated with diagrams and exercises. |
| quantum computing for computer scientists: Technology Road Mapping for Quantum Computing and Engineering Mishra, Brojo Kishore, 2022-03-25 Quantum computing is radically different from the conventional approach of transforming bit-strings from one set of zeros and ones to another. With quantum computing, everything changes. The physics used to understand bits of information and the devices that manipulate them are vastly different. Quantum engineering is a revolutionary approach to quantum technology. Technology Road Mapping for Quantum Computing and Engineering explores all the aspects of quantum computing concepts, engineering, technologies, operations, and applications from the basics to future advancements. Covering topics such as machine learning, quantum software technology, and technology road mapping, this book is an excellent resource for data scientists, engineers, students and professors of higher education, computer scientists, researchers, and academicians. |
| quantum computing for computer scientists: Programming Quantum Computers Eric R. Johnston, Nic Harrigan, Mercedes Gimeno-Segovia, 2019-07-03 Quantum computers are poised to kick-start a new computing revolution—and you can join in right away. If you’re in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmer’s guide to understanding quantum computing. Rather than labor through math and theory, you’ll work directly with examples that demonstrate this technology’s unique capabilities. Quantum computing specialists Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. You’ll understand what quantum computers can do and learn how to identify the types of problems they can solve. This book includes three multichapter sections: Programming for a QPU—Explore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation. QPU Primitives—Learn algorithmic primitives and techniques, including amplitude amplification, the Quantum Fourier Transform, and phase estimation. QPU Applications—Investigate how QPU primitives are used to build existing applications, including quantum search techniques and Shor’s factoring algorithm. |
| quantum computing for computer scientists: Automatic Quantum Computer Programming Lee Spector, 2004-06-11 Automatic Quantum Computer Programming provides an introduction to quantum computing for non-physicists, as well as an introduction to genetic programming for non-computer-scientists. The book explores several ways in which genetic programming can support automatic quantum computer programming and presents detailed descriptions of specific techniques, along with several examples of their human-competitive performance on specific problems. Source code for the author’s QGAME quantum computer simulator is included as an appendix, and pointers to additional online resources furnish the reader with an array of tools for automatic quantum computer programming. |
| quantum computing for computer scientists: Quantum Information Processing and Quantum Error Correction Ivan Djordjevic, 2012-04-16 Quantum Information Processing and Quantum Error Correction is a self-contained, tutorial-based introduction to quantum information, quantum computation, and quantum error-correction. Assuming no knowledge of quantum mechanics and written at an intuitive level suitable for the engineer, the book gives all the essential principles needed to design and implement quantum electronic and photonic circuits. Numerous examples from a wide area of application are given to show how the principles can be implemented in practice. This book is ideal for the electronics, photonics and computer engineer who requires an easy- to-understand foundation on the principles of quantum information processing and quantum error correction, together with insight into how to develop quantum electronic and photonic circuits. Readers of this book will be ready for further study in this area, and will be prepared to perform independent research. The reader completed the book will be able design the information processing circuits, stabilizer codes, Calderbank-Shor-Steane (CSS) codes, subsystem codes, topological codes and entanglement-assisted quantum error correction codes; and propose corresponding physical implementation. The reader completed the book will be proficient in quantum fault-tolerant design as well. Unique Features Unique in covering both quantum information processing and quantum error correction - everything in one book that an engineer needs to understand and implement quantum-level circuits. Gives an intuitive understanding by not assuming knowledge of quantum mechanics, thereby avoiding heavy mathematics. In-depth coverage of the design and implementation of quantum information processing and quantum error correction circuits. Provides the right balance among the quantum mechanics, quantum error correction, quantum computing and quantum communication. Dr. Djordjevic is an Assistant Professor in the Department of Electrical and Computer Engineering of College of Engineering, University of Arizona, with a joint appointment in the College of Optical Sciences. Prior to this appointment in August 2006, he was with University of Arizona, Tucson, USA (as a Research Assistant Professor); University of the West of England, Bristol, UK; University of Bristol, Bristol, UK; Tyco Telecommunications, Eatontown, USA; and National Technical University of Athens, Athens, Greece. His current research interests include optical networks, error control coding, constrained coding, coded modulation, turbo equalization, OFDM applications, and quantum error correction. He presently directs the Optical Communications Systems Laboratory (OCSL) within the ECE Department at the University of Arizona. Provides everything an engineer needs in one tutorial-based introduction to understand and implement quantum-level circuits Avoids the heavy use of mathematics by not assuming the previous knowledge of quantum mechanics Provides in-depth coverage of the design and implementation of quantum information processing and quantum error correction circuits |
| quantum computing for computer scientists: Quantum Computing: An Applied Approach Jack D. Hidary, 2021-09-29 This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training. The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition. This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates. Jack D. Hidary is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X. |
| quantum computing for computer scientists: Introduction to Classical and Quantum Computing Thomas Wong, 2022-01-21 |
| quantum computing for computer scientists: Quantum Mechanics I Alberto Galindo, Pedro Pascual, 2012-12-06 The first edition of this book was published in 1978 and a new Spanish e(,tition in 1989. When the first edition appeared, Professor A. Martin suggested that an English translation would meet with interest. Together with Professor A. S. Wightman, he tried to convince an American publisher to translate the book. Financial problems made this impossible. Later on, Professors E. H. Lieband W. Thirring proposed to entrust Springer-Verlag with the translation of our book, and Professor W. BeiglbOck accepted the plan. We are deeply grateful to all of them, since without their interest and enthusiasm this book would not have been translated. In the twelve years that have passed since the first edition was published, beautiful experiments confirming some of the basic principles of quantum me chanics have been carried out, and the theory has been enriched with new, im portant developments. Due reference to all of this has been paid in this English edition, which implies that modifications have been made to several parts of the book. Instances of these modifications are, on the one hand, the neutron interfer ometry experiments on wave-particle duality and the 27r rotation for fermions, and the crucial experiments of Aspect et al. with laser technology on Bell's inequalities, and, on the other hand, some recent results on level ordering in central potentials, new techniques in the analysis of anharmonic oscillators, and perturbative expansions for the Stark and Zeeman effects. |
| quantum computing for computer scientists: Learn Quantum Computing with Python and Q# Sarah C. Kaiser, Christopher Grenade, 2021-07-27 Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you’ll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft’s Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. About the book Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Use Python to build your own quantum simulator and take advantage of Microsoft’s open source tools to fine-tune quantum algorithms. The authors explain complex math and theory through stories, visuals, and games. You’ll learn to apply quantum to real-world applications, such as sending secret messages and solving chemistry problems. What's inside The underlying mechanics of quantum computers Simulating qubits in Python Exploring quantum algorithms with Q# Applying quantum computing to chemistry, arithmetic, and data About the reader For software developers. No prior experience with quantum computing required. About the author Dr. Sarah Kaiser works at the Unitary Fund, a non-profit organization supporting the quantum open-source ecosystem, and is an expert in building quantum tech in the lab. Dr. Christopher Granade works in the Quantum Systems group at Microsoft, and is an expert in characterizing quantum devices. Table of Contents PART 1 GETTING STARTED WITH QUANTUM 1 Introducing quantum computing 2 Qubits: The building blocks 3 Sharing secrets with quantum key distribution 4 Nonlocal games: Working with multiple qubits 5 Nonlocal games: Implementing a multi-qubit simulator 6 Teleportation and entanglement: Moving quantum data around PART 2 PROGRAMMING QUANTUM ALGORITHMS IN Q# 7 Changing the odds: An introduction to Q# 8 What is a quantum algorithm? 9 Quantum sensing: It’s not just a phase PART 3 APPLIED QUANTUM COMPUTING 10 Solving chemistry problems with quantum computers 11 Searching with quantum computers 12 Arithmetic with quantum computers |
| quantum computing for computer scientists: Quantum Walks for Computer Scientists Salvador Venegas-Andraca, 2022-05-31 Quantum computation, one of the latest joint ventures between physics and the theory of computation, is a scientific field whose main goals include the development of hardware and algorithms based on the quantum mechanical properties of those physical systems used to implement such algorithms. Solving difficult tasks (for example, the Satisfiability Problem and other NP-complete problems) requires the development of sophisticated algorithms, many ofwhich employ stochastic processes as their mathematical basis. Discrete random walks are a popular choice among those stochastic processes. Inspired on the success of discrete random walks in algorithm development, quantum walks, an emerging field of quantum computation, is a generalization of random walks into the quantum mechanical world. The purpose of this lecture is to provide a concise yet comprehensive introduction to quantum walks. Table of Contents: Introduction / Quantum Mechanics / Theory of Computation / Classical Random Walks / Quantum Walks / Computer Science and Quantum Walks / Conclusions |
| quantum computing for computer scientists: Lectures on Quantum Information Dagmar Bruss, Gerd Leuchs, 2007 Quantum Information Processing is a young and rapidly growing field of research at the intersection of physics, mathematics, and computer science. Its ultimate goal is to harness quantum physics to conceive -- and ultimately build -- quantum computers that would dramatically overtake the capabilities of today's classical computers. One example of the power of a quantum computer is its ability to efficiently find the prime factors of a larger integer, thus shaking the supposedly secure foundations of standard encryption schemes. This comprehensive textbook on the rapidly advancing field introduces readers to the fundamental concepts of information theory and quantum entanglement, taking into account the current state of research and development. It thus covers all current concepts in quantum computing, both theoretical and experimental, before moving on to the latest implementations of quantum computing and communication protocols. With its series of exercises, this is ideal reading for students and lecturers in physics and informatics, as well as experimental and theoretical physicists, and physicists in industry. Dagmar Bruß graduated at RWTH University Aachen, Germany, and received her PhD in theoretical particle physics from the University of Heidelberg in 1994. As a research fellow at the University of Oxford she started to work in quantum information theory. Another fellowship at ISI Torino, Italy, followed. While being a research assistant at the University of Hannover she completed her habilitation. Since 2004 Professor Bruß has been holding a chair at the Institute of Theoretical Physics at the Heinrich-Heine-University Düsseldorf, Germany. Gerd Leuchs studied physics and mathematics at the University of Cologne, Germany, and received his Ph.D. in 1978. After two research visits at the University of Colorado in Boulder, USA, he headed the German gravitational wave detection group from 1985 to 1989. He became technical director at Nanomach AG in Switzerland. Since 1994 Professor Leuchs has been holding the chair for optics at the Friedrich-Alexander-University of Erlangen-Nuremberg, Germany. His fields of research span the range from modern aspects of classical optics to quantum optics and quantum information. Since 2003 he has been Director of the Max Planck Research Group for Optics, Information and Photonics at Erlangen. |
| quantum computing for computer scientists: Approaching Quantum Computing Marinescu, 2008-09 |
Quantum Computing for Computer Scientists - Cambridge University Press ...
We are going to maintain a Web page for the text at www.sci .brooklyn .cuny.edu/∼noson/qctext.html / The Web page will contain periodic updates to the book, ■ links to interesting books and articles on quantum computing, ■ some answers to certain … See more
LECTURE 1: QUANTUM COMPUTING HARDWARE LANDSCAPE …
Focus on Quantum Computing: 5 DOE Centers in Quantum Information Sciences ($25M/year for 5 years) The center will (1) study the problem of decoherence in superconductors and (2) build a …
Microsoft
Quantum Computing for Computer Scientists The gate quantum computation model . Why learn quantum computing?
Quantum Computing for Computer Scientists - City University of …
Appendix A) Historical Bibliography of Quantum Computing. by Jill Cirasella. Appendix B) Answers to Selected Exercises. Appendix C) Quantum Computing Experiments with MATLAB. Appendix D) …
PRACTICAL QUANTUM COM FOR SCIENTISTS - RCAC
The foundational core of quantum computing is to store information in quantum states of matter and to use quantum gate operations to compute on that information, by harnessing and learning to …
What is Quantum Computing? - University of Cambridge
What is Quantum Computing? Aim to use quantum mechanical phenomena that have no classical counterpart for computational purposes. Central research tasks include: Building devices — with …
Quantum Computing for Software Engineers - Andrew Helwer
Learning objectives. Representing computation with basic linear algebra (vectors and matrices) Qbits, superposition, and quantum logic gates. The simplest problem where a quantum computer …
Quantum Computing - Lecture Notes - University of Washington
There are four postulates to quantum mechanics, which will form the basis of quantum computers: Postulate 1: Definition of a quantum bit, or qubit. Postulate 2: How qubit(s) transform (evolve). …
Quantum Computer Systems for Scientific Discovery
In this context, we identify scientific and community needs, opportunities, a sampling of a few use case studies, and significant challenges for the development of quantum computers for science …
Quantum Computing For Computer Scientists - Washington Trails …
Quantum algorithms for scientific computing - arXiv.org Oct 10, 2024 · In this section, we discuss the most relevant VQAs for computational science: the quantum approximate optimization …
Quantum Computer Science An Introduction - Cornell University
To understand how to build a quantum computer, or even to study what physical systems are promising candidates for realizing such a device, you must indeed have many years of …
QUANTUM COMPUTING FOR COMPUTER SCIENTISTS
Quantum computing for computer scientists / Noson S. Yanofsky and Mirco A. Mannucci. p. cm. Includes bibliographical references and index. ISBN 978-0-521-87996-5 (hardback) 1. Quantum …
A PRACTICAL INTRODUCTION TO QUANTUM COMPUTING - Indico
General Quantum Computing • Quantum Computing for Computer Scientists, Noson S. Yanofsky, Mirco A. Mannucci. Cambridge University Press, 2008. • Lectures Notes on Quantum …
From Cbits to Qbits: Teaching computer scientists quantum …
A strategy is suggested for teaching mathematically literate students, with no background in physics, just enough quantum mechanics for them to understand and develop algorithms in …
AN INTRODUCTION TO QUANTUM COMPUTING - City University …
Quantum Computing is a new and exciting field at the intersection of mathematics, computer science and physics. It concerns a utilization of quantum mechanics to improve the efficiency of …
Quantum Computing: Principles and Applications
This paper introduces the basic concepts of quantum computing, particularly for a general-purpose gate-based quantum computer, and describes the well-researched applications of quantum …
Introduction to Quantum Computing - Institute for Advanced Study
Welcome to the Quantum World! Quantum mechanics developed 1900-1920, explains and predicts natural phenomena at particle level. Polynomial-time quantum-mechanical processes take …
The Limits of Quantum Computers - University of Virginia
How is it that a quantum computer could pro-vide speedups for some problems, such as break-ing codes, but not for others? Isn’t a faster com-puter just a faster computer? The answer is no, and …
MATHEMATICAL ESSENTIALS OF QUANTUM COMPUTING
The purpose of this expository article is to phrase the essential notions of quantum computation in purely mathematical terms. In particu-lar we will define the notions of q-computation, q …
A NASA Perspective on Quantum Computing - NASA Technical …
The promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor1. A fundamental …
Quantum Computing for Computer Scientists - Cambridge …
Quantum computing is a fascinating new field at the intersection of computer sci-ence, mathematics, and physics, which strives to harness some of the uncanny as-pects of quantum mechanics to broaden our computational horizons. This book presents some of the most exciting and interesting topics in quantum computing.
LECTURE 1: QUANTUM COMPUTING HARDWARE LANDSCAPE …
Focus on Quantum Computing: 5 DOE Centers in Quantum Information Sciences ($25M/year for 5 years) The center will (1) study the problem of decoherence in superconductors and (2) build a new type of quantum computer at Fermilab and develop new quantum sensors based on superconducting technology.
Microsoft
Quantum Computing for Computer Scientists The gate quantum computation model . Why learn quantum computing?
Quantum Computing for Computer Scientists - City University …
Appendix A) Historical Bibliography of Quantum Computing. by Jill Cirasella. Appendix B) Answers to Selected Exercises. Appendix C) Quantum Computing Experiments with MATLAB. Appendix D) Keeping Abreast of Quantum News: Quantum …
PRACTICAL QUANTUM COM FOR SCIENTISTS - RCAC
The foundational core of quantum computing is to store information in quantum states of matter and to use quantum gate operations to compute on that information, by harnessing and learning to "program" quantum interference.
What is Quantum Computing? - University of Cambridge
What is Quantum Computing? Aim to use quantum mechanical phenomena that have no classical counterpart for computational purposes. Central research tasks include: Building devices — with a specified behaviour. Designing algorithms — to use the behaviour. Mediating these two are models of computation. Bird’s eye view.
Quantum Computing for Software Engineers - Andrew Helwer
Learning objectives. Representing computation with basic linear algebra (vectors and matrices) Qbits, superposition, and quantum logic gates. The simplest problem where a quantum computer beats a classical computer. Bonus topics: quantum entanglement and teleportation.
Quantum Computing - Lecture Notes - University of Washington
There are four postulates to quantum mechanics, which will form the basis of quantum computers: Postulate 1: Definition of a quantum bit, or qubit. Postulate 2: How qubit(s) transform (evolve). Postulate 3: The effect of measurement. Postulate 4: How qubits combine together into systems of …
Quantum Computer Systems for Scientific Discovery
In this context, we identify scientific and community needs, opportunities, a sampling of a few use case studies, and significant challenges for the development of quantum computers for science over the next 2–10 years.
Quantum Computing For Computer Scientists - Washington …
Quantum algorithms for scientific computing - arXiv.org Oct 10, 2024 · In this section, we discuss the most relevant VQAs for computational science: the quantum approximate optimization algorithm (section 2.5.1); variational quantum eigensolvers (section 2.5.2); and simulation of quantum systems (section 2.5.3).
Quantum Computer Science An Introduction - Cornell University
To understand how to build a quantum computer, or even to study what physical systems are promising candidates for realizing such a device, you must indeed have many years of experience in quantum mechanics and its applications under your belt.
QUANTUM COMPUTING FOR COMPUTER SCIENTISTS
Quantum computing for computer scientists / Noson S. Yanofsky and Mirco A. Mannucci. p. cm. Includes bibliographical references and index. ISBN 978-0-521-87996-5 (hardback) 1. Quantum computers. I. Mannucci, Mirco A., 1960– II. Title. QA76.889.Y35 2008 004.1–dc22 2008020507
A PRACTICAL INTRODUCTION TO QUANTUM COMPUTING
General Quantum Computing • Quantum Computing for Computer Scientists, Noson S. Yanofsky, Mirco A. Mannucci. Cambridge University Press, 2008. • Lectures Notes on Quantum Computation, John Watrous https://cs.uwaterloo.ca/~watrous/QC-notes/QC-notes.pdf • Learn Quantum Computation using Qiskit, Abraham Asfaw et al.
From Cbits to Qbits: Teaching computer scientists quantum …
A strategy is suggested for teaching mathematically literate students, with no background in physics, just enough quantum mechanics for them to understand and develop algorithms in quantum computation and quantum information theory.
AN INTRODUCTION TO QUANTUM COMPUTING - City …
Quantum Computing is a new and exciting field at the intersection of mathematics, computer science and physics. It concerns a utilization of quantum mechanics to improve the efficiency of computation. Here we present a gentle introduction to some of the ideas in quantum computing.
Quantum Computing: Principles and Applications
This paper introduces the basic concepts of quantum computing, particularly for a general-purpose gate-based quantum computer, and describes the well-researched applications of quantum computing for non-experts. The next section …
Introduction to Quantum Computing - Institute for Advanced Study
Welcome to the Quantum World! Quantum mechanics developed 1900-1920, explains and predicts natural phenomena at particle level. Polynomial-time quantum-mechanical processes take exponential time to simulate on a classical computer.
The Limits of Quantum Computers - University of Virginia
How is it that a quantum computer could pro-vide speedups for some problems, such as break-ing codes, but not for others? Isn’t a faster com-puter just a faster computer? The answer is no, and to explain why takes one straight to the intel-lectual core of computer science. For computer scientists, the crucial thing about a problem is
MATHEMATICAL ESSENTIALS OF QUANTUM COMPUTING
The purpose of this expository article is to phrase the essential notions of quantum computation in purely mathematical terms. In particu-lar we will define the notions of q-computation, q-measurement, q-procedure, q-computer and q-algorithm, and each of them will be illustrated with several examples. In addition to some low level q-algorithms ...
A NASA Perspective on Quantum Computing - NASA Technical …
The promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor1. A fundamental challenge is to build a high- delity processor capable of running quantum algorithms in an exponentially large computational space.
