Advertisement
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: Introduction to Quantum Computing Ray LaPierre, 2021-09-27 This book provides a self-contained undergraduate course on quantum computing based on classroom-tested lecture notes. It reviews the fundamentals of quantum mechanics from the double-slit experiment to entanglement, before progressing to the basics of qubits, quantum gates, quantum circuits, quantum key distribution, and some of the famous quantum algorithms. As well as covering quantum gates in depth, it also describes promising platforms for their physical implementation, along with error correction, and topological quantum computing. With quantum computing expanding rapidly in the private sector, understanding quantum computing has never been so important for graduates entering the workplace or PhD programs. Assuming minimal background knowledge, this book is highly accessible, with rigorous step-by-step explanations of the principles behind quantum computation, further reading, and end-of-chapter exercises, ensuring that undergraduate students in physics and engineering emerge well prepared for the future. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: An Introduction to Quantum Computing Algorithms Arthur O. Pittenger, 2012-12-06 In 1994 Peter Shor [65] published a factoring algorithm for a quantum computer that finds the prime factors of a composite integer N more efficiently than is possible with the known algorithms for a classical com puter. Since the difficulty of the factoring problem is crucial for the se curity of a public key encryption system, interest (and funding) in quan tum computing and quantum computation suddenly blossomed. Quan tum computing had arrived. The study of the role of quantum mechanics in the theory of computa tion seems to have begun in the early 1980s with the publications of Paul Benioff [6]' [7] who considered a quantum mechanical model of computers and the computation process. A related question was discussed shortly thereafter by Richard Feynman [35] who began from a different perspec tive by asking what kind of computer should be used to simulate physics. His analysis led him to the belief that with a suitable class of quantum machines one could imitate any quantum system. |
| an introduction to quantum computing: Introduction to Quantum Computation Ioan Burda, 2005 Introduction to Quantum Computation is an introduction to a new rapidly developing theory of quantum computing. The book is a comprehensive introduction to the main ideas and techniques of quantum computation. It begins with the basics of classical theory of computation: NP-complete problems, Boolean circuits, Finite state machine, Turing machine and the idea of complexity of an algorithm. The general quantum formalism (pure states, qubit, superposition, evolution of quantum system, entanglement, multi-qubit system ...) and complex algorithm examples are also presented. Matlab is a well known in engineer academia as matrix computing environment, which makes it well suited for simulating quantum algorithms. The (Quantum Computer Toolbox) QCT is written entirely in the Matlab and m-files are listed in book's sections. There are certain data types that are implicitly defined by the QCT, including data types for qubit registers and transformations. The QCT contains many functions designed to mimic the actions of a quantum computer. In addition, the QCT contains several convenience functions designed to aid in the creation and modification of the data types used in algorithms. The main purposes of the QCT are for research involving Quantum Computation and as a teaching tool to aid in learning about Quantum Computing systems. The readers will learn to implement complex quantum algorithm (quantum teleportation and Deutsch, Grover, Shor algorithm) under Matlab environment (complete Matlab code examples). |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: A First Introduction to Quantum Computing and Information Bernard Zygelman, 2024-11-12 This textbook addresses and introduces new developments in the field of quantum information and computing (QIC) for a primary audience of undergraduate students. Developments over the past few decades have spurred the need for QIC courseware at major research institutions. To address this, the present 2nd edition of a highly accessible textbook/reference broadens the exposure of QIC science for the undergraduate market. The subject matter is introduced in such a way so that it is accessible to students with only a first-year calculus background. Greater accessibility allows a broader range of academic offerings. Topics and features: Introduces beginning undergraduate students to quantum theory and developments in QIC, without exposure to upper-level physics and mathematics Contains a new chapter on Adiabatic Quantum Computing Integrates Mathematica-based software examples and projects, which offers a “hands-on experience and facilitates navigation of difficult abstract concepts Offers helpful links to additional exercises, problems, and solution manuals Facilitates a more holistic approach to the teaching of difficult concepts, incorporating symbolic manipulation software Provides new material on Quantum Error Correction Allows a broad-range of course offerings spanning physics, engineering, math and computer science This unique introductory textbook can serve courses offered in university physics, engineering, math, and definitely computer science departments. Use of Mathematica software allows a fast learning curve for students who have limited experience with scientific programming. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: Quantum Computing for the Quantum Curious Ciaran Hughes, Joshua Isaacson, Anastasia Perry, Ranbel F. Sun, Jessica Turner, 2021-03-22 This open access book makes quantum computing more accessible than ever before. A fast-growing field at the intersection of physics and computer science, quantum computing promises to have revolutionary capabilities far surpassing “classical” computation. Getting a grip on the science behind the hype can be tough: at its heart lies quantum mechanics, whose enigmatic concepts can be imposing for the novice. This classroom-tested textbook uses simple language, minimal math, and plenty of examples to explain the three key principles behind quantum computers: superposition, quantum measurement, and entanglement. It then goes on to explain how this quantum world opens up a whole new paradigm of computing. The book bridges the gap between popular science articles and advanced textbooks by making key ideas accessible with just high school physics as a prerequisite. Each unit is broken down into sections labelled by difficulty level, allowing the course to be tailored to the student’s experience of math and abstract reasoning. Problem sets and simulation-based labs of various levels reinforce the concepts described in the text and give the reader hands-on experience running quantum programs. This book can thus be used at the high school level after the AP or IB exams, in an extracurricular club, or as an independent project resource to give students a taste of what quantum computing is really about. At the college level, it can be used as a supplementary text to enhance a variety of courses in science and computing, or as a self-study guide for students who want to get ahead. Additionally, readers in business, finance, or industry will find it a quick and useful primer on the science behind computing’s future. |
| an introduction to quantum computing: Introduction to Topological Quantum Computation Jiannis K. Pachos, 2012-04-12 Combining physics, mathematics and computer science, topological quantum computation is a rapidly expanding research area focused on the exploration of quantum evolutions that are immune to errors. In this book, the author presents a variety of different topics developed together for the first time, forming an excellent introduction to topological quantum computation. The makings of anyonic systems, their properties and their computational power are presented in a pedagogical way. Relevant calculations are fully explained, and numerous worked examples and exercises support and aid understanding. Special emphasis is given to the motivation and physical intuition behind every mathematical concept. Demystifying difficult topics by using accessible language, this book has broad appeal and is ideal for graduate students and researchers from various disciplines who want to get into this new and exciting research field. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: Quantum Computing Mikio Nakahara, Tetsuo Ohmi, 2008-03-11 Covering both theory and progressive experiments, Quantum Computing: From Linear Algebra to Physical Realizations explains how and why superposition and entanglement provide the enormous computational power in quantum computing. This self-contained, classroom-tested book is divided into two sections, with the first devoted to the theoretical aspect |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: A Short Introduction to Quantum Information and Quantum Computation Michel Le Bellac, 2006-06-15 Quantum information and computation is a rapidly expanding and cross-disciplinary subject. This book, first published in 2006, gives a self-contained introduction to the field for physicists, mathematicians and computer scientists who want to know more about this exciting subject. After a step-by-step introduction to the quantum bit (qubit) and its main properties, the author presents the necessary background in quantum mechanics. The core of the subject, quantum computation, is illustrated by a detailed treatment of three quantum algorithms: Deutsch, Grover and Shor. The final chapters are devoted to the physical implementation of quantum computers, including the most recent aspects, such as superconducting qubits and quantum dots, and to a short account of quantum information. Written at a level suitable for undergraduates in physical sciences, no previous knowledge of quantum mechanics is assumed, and only elementary notions of physics are required. The book includes many short exercises, with solutions available to instructors through solutions@cambridge.org. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: Introduction to Quantum Algorithms via Linear Algebra, second edition Richard J. Lipton, Kenneth W. Regan, 2021-04-06 Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics. This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but requires minimal background and assumes no knowledge of quantum theory or quantum mechanics. The book explains quantum computation in terms of elementary linear algebra; it assumes the reader will have some familiarity with vectors, matrices, and their basic properties, but offers a review of the relevant material from linear algebra. By emphasizing computation and algorithms rather than physics, it makes quantum algorithms accessible to students and researchers in computer science who have not taken courses in quantum physics or delved into fine details of quantum effects, apparatus, circuits, or theory. |
| an introduction to quantum computing: A Short Introduction to Quantum Information and Quantum Computation Michel Le Bellac, 2006-06-15 This undergraduate book, first published in 2006, introduces quantum information and computation for physicists, mathematicians and computer scientists. |
| an introduction to quantum computing: Quantum Computing for Programmers Robert Hundt, 2022-03-31 Takes readers from the basics to detailed derivations and open-source implementations of more than 25 fundamental quantum algorithms. |
| an introduction to quantum computing: Introduction to Quantum Computing with Qiskit Macauley Coggins , 2021-12-11 This textbook aims to introduce the reader to Quantum Computing while also giving a good primer on programming Quantum Devices using Qiskit. This is aimed at complete beginners and is a good gentle introduction to the field. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: Learn Quantum Computing with Python and IBM Quantum Experience Robert Loredo, 2020-09-28 A step-by-step guide to learning the implementation and associated methodologies in quantum computing with the help of the IBM Quantum Experience, Qiskit, and Python that will have you up and running and productive in no time Key FeaturesDetermine the difference between classical computers and quantum computersUnderstand the quantum computational principles such as superposition and entanglement and how they are leveraged on IBM Quantum Experience systemsRun your own quantum experiments and applications by integrating with QiskitBook Description IBM Quantum Experience is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and a real quantum computer. This book will explain the basic principles of quantum mechanics, the principles involved in quantum computing, and the implementation of quantum algorithms and experiments on IBM's quantum processors. You will start working with simple programs that illustrate quantum computing principles and slowly work your way up to more complex programs and algorithms that leverage quantum computing. As you build on your knowledge, you'll understand the functionality of IBM Quantum Experience and the various resources it offers. Furthermore, you'll not only learn the differences between the various quantum computers but also the various simulators available. Later, you'll explore the basics of quantum computing, quantum volume, and a few basic algorithms, all while optimally using the resources available on IBM Quantum Experience. By the end of this book, you'll learn how to build quantum programs on your own and have gained practical quantum computing skills that you can apply to your business. What you will learnExplore quantum computational principles such as superposition and quantum entanglementBecome familiar with the contents and layout of the IBM Quantum ExperienceUnderstand quantum gates and how they operate on qubitsDiscover the quantum information science kit and its elements such as Terra and AerGet to grips with quantum algorithms such as Bell State, Deutsch-Jozsa, Grover's algorithm, and Shor's algorithmHow to create and visualize a quantum circuitWho this book is for This book is for Python developers who are looking to learn quantum computing and put their knowledge to use in practical situations with the help of IBM Quantum Experience. Some background in computer science and high-school-level physics and math is required. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: Introduction to Classical and Quantum Computing Thomas Wong, 2022-01-21 |
| an introduction to quantum computing: Approaching Quantum Computing Marinescu, 2008-09 |
| an introduction to quantum computing: Dancing with Qubits Robert S. Sutor, 2019-11-28 Explore the principles and practicalities of quantum computing Key Features Discover how quantum computing works and delve into the math behind it with this quantum computing textbook Learn how it may become the most important new computer technology of the century Explore the inner workings of quantum computing technology to quickly process complex cloud data and solve problems Book DescriptionQuantum computing is making us change the way we think about computers. Quantum bits, a.k.a. qubits, can make it possible to solve problems that would otherwise be intractable with current computing technology. Dancing with Qubits is a quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. From there it moves on to a fuller description of classical computing and the mathematical underpinnings necessary to understand such concepts as superposition, entanglement, and interference. Next up is circuits and algorithms, both basic and more sophisticated. It then nicely moves on to provide a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments will affect you. Really understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is introduced and explained thoroughly, in clear English with helpful examples.What you will learn See how quantum computing works, delve into the math behind it, what makes it different, and why it is so powerful with this quantum computing textbook Discover the complex, mind-bending mechanics that underpin quantum systems Understand the necessary concepts behind classical and quantum computing Refresh and extend your grasp of essential mathematics, computing, and quantum theory Explore the main applications of quantum computing to the fields of scientific computing, AI, and elsewhere Examine a detailed overview of qubits, quantum circuits, and quantum algorithm Who this book is for Dancing with Qubits is a quantum computing textbook for those who want to deeply explore the inner workings of quantum computing. This entails some sophisticated mathematical exposition and is therefore best suited for those with a healthy interest in mathematics, physics, engineering, and computer science. |
| an introduction to quantum computing: First Step to Quantum Computing: A Practical Guide for Beginners Javad Shabani, Eva Gurra, Eloise Yalovitser, 2023-01-31 Quantum information is a young and evolving field. This compendium introduces quantum information in a comprehensive self-contained guide without assuming a wealth of knowledge prior to reading.The volume highlights intuition on counterintuitive topics such as quantum mechanics, basic mathematical tools and calculations involving linear algebra, and applies these concepts to quantum information with guided problems and coding exercises.This applied guide largely benefits mid-level undergraduates and perhaps motivated high schoolers. |
| an introduction to quantum computing: 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 |
| an introduction to quantum computing: Explorations in Quantum Computing Colin P. Williams, 2010-12-07 By the year 2020, the basic memory components of a computer will be the size of individual atoms. At such scales, the current theory of computation will become invalid. Quantum computing is reinventing the foundations of computer science and information theory in a way that is consistent with quantum physics - the most accurate model of reality currently known. Remarkably, this theory predicts that quantum computers can perform certain tasks breathtakingly faster than classical computers – and, better yet, can accomplish mind-boggling feats such as teleporting information, breaking supposedly unbreakable codes, generating true random numbers, and communicating with messages that betray the presence of eavesdropping. This widely anticipated second edition of Explorations in Quantum Computing explains these burgeoning developments in simple terms, and describes the key technological hurdles that must be overcome to make quantum computers a reality. This easy-to-read, time-tested, and comprehensive textbook provides a fresh perspective on the capabilities of quantum computers, and supplies readers with the tools necessary to make their own foray into this exciting field. Topics and features: concludes each chapter with exercises and a summary of the material covered; provides an introduction to the basic mathematical formalism of quantum computing, and the quantum effects that can be harnessed for non-classical computation; discusses the concepts of quantum gates, entangling power, quantum circuits, quantum Fourier, wavelet, and cosine transforms, and quantum universality, computability, and complexity; examines the potential applications of quantum computers in areas such as search, code-breaking, solving NP-Complete problems, quantum simulation, quantum chemistry, and mathematics; investigates the uses of quantum information, including quantum teleportation, superdense coding, quantum data compression, quantum cloning, quantum negation, and quantum cryptography; reviews the advancements made towards practical quantum computers, covering developments in quantum error correction and avoidance, and alternative models of quantum computation. This text/reference is ideal for anyone wishing to learn more about this incredible, perhaps ultimate, computer revolution. Dr. Colin P. Williams is Program Manager for Advanced Computing Paradigms at the NASA Jet Propulsion Laboratory, California Institute of Technology, and CEO of Xtreme Energetics, Inc. an advanced solar energy company. Dr. Williams has taught quantum computing and quantum information theory as an acting Associate Professor of Computer Science at Stanford University. He has spent over a decade inspiring and leading high technology teams and building business relationships with and Silicon Valley companies. Today his interests include terrestrial and Space-based power generation, quantum computing, cognitive computing, computational material design, visualization, artificial intelligence, evolutionary computing, and remote olfaction. He was formerly a Research Scientist at Xerox PARC and a Research Assistant to Prof. Stephen W. Hawking, Cambridge University. |
| an introduction to quantum computing: 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. |
| an introduction to quantum computing: The Amazing World of Quantum Computing Rajendra K. Bera, 2020-03-14 This book discusses the application of quantum mechanics to computing. It explains the fundamental concepts of quantum mechanics and then goes on to discuss various elements of mathematics required for quantum computing. Quantum cryptography, waves and Fourier analysis, measuring quantum systems, comparison to classical mechanics, quantum gates, and important algorithms in quantum computing are among the topics covered. The book offers a valuable resource for graduate and senior undergraduate students in STEM (science, technology, engineering, and mathematics) fields with an interest in designing quantum algorithms. Readers are expected to have a firm grasp of linear algebra and some familiarity with Fourier analysis. |
| an introduction to quantum computing: Quantum Computing Parag Lala, 2019-02-01 A self-contained, reader-friendly introduction to the principles and applications of quantum computing Especially valuable to those without a prior knowledge of quantum mechanics, this electrical engineering text presents the concepts and workings of quantum information processing systems in a clear, straightforward, and practical manner. The book is written in a style that helps readers who are not familiar with non-classical information processing more easily grasp the essential concepts; only prior exposure to classical physics, basic digital design, and introductory linear algebra is assumed.Quantum Computing: A Beginner’s Introduction presents each topic in a tutorial style with examples, illustrations, and diagrams to clarify the material. Written by an experienced electrical engineering educator and author, this is a self-contained resource, with all the necessary pre-requisite material included within the text.Coverage includes: •Complex Numbers, Vector Space, and Dirac Notation •Basics of Quantum Mechanics •Matrices and Operators •Boolean Algebra, Logic Gates and Quantum Information Processing •Quantum Gates and Circuit •Tensor Products, Superposition and Quantum Entanglement •Teleportation and Superdense Coding •Quantum Error Correction •Quantum Algorithms •Quantum Cryptography |
| an introduction to quantum computing: Quantum Computing Mika Hirvensalo, 2013-03-14 Mika Hirvensalo maps out the new multidisciplinary research area of quantum computing. The text contains an introduction to quantum computing as well as the most important recent results on the topic. The presentation is uniform and computer science-oriented. Thus, the book differs from most of the previous ones which are mainly physics-oriented. The special style of presentation makes the theory of quantum computing accessible to a larger audience. Many examples and exercises ease the understanding. In this second edition, a new chapter on quantum information has been added and numerous corrections, amendments, and extensions have been incorporated throughout the entire text. |
| an introduction to quantum computing: Quantum Information and Quantum Computing Mikio Nakahara, 2013 The open research center project Interdisciplinary fundamental research toward realization of a quantum computer has been supported by the Ministry of Education, Japan for five years. This is a collection of the research outcomes by the members engaged in the project. To make the presentation self-contained, it starts with an overview by Mikio Nakahara, which serves as a concise introduction to quantum information and quantum computing. Subsequent contributions include subjects from physics, chemistry, mathematics, and information science, reflecting upon the wide variety of scientists working under this project. These contributions introduce NMR quantum computing and related techniques, number theory and coding theory, quantum error correction, photosynthesis, non-classical correlations and entanglement, neutral atom quantum computer, among others. Each of the contributions will serve as a short introduction to these cutting edge research fields. |
Introduction to Quantum Computing - NASA Technical Reports …
A PDF document that covers the fundamentals, history, status, and applications of quantum computing. Learn about qubits, quantum gates, quantum algorithms, and the challenges and …
Introduction to Quantum Computers - Information Technology …
Learn the basics and trends of quantum computers, qubits, quantum circuits, quantum algorithms, and applications. This presentation covers the history, concepts, design, and roadmap of …
Introduction to Quantum Computing - RWTH Aachen University
These are the lecture notes for the “Introduction to Quantum Computing” lecture held by Dominique Unruh at RWTH Aachen in the summer term 2024. The lecture notes are updated …
QUANTUM COMPUTING: AN INTRODUCTION - CERN
A PDF document that explains the fundamentals of quantum computing, such as qubits, entanglement, and quantum algorithms. It also reviews the experimental progress and …
An Introduction to Quantum Computing. - arXiv.org
The fields of quantum optics and quantum computing are closely related to one another. Very often breakthroughs in quantum optics are implemented in quantum information processing, …
INTRODUCTION TO QUANTUM COMPUTING
A slideshow that explains the basics of quantum computing, such as superposition, entanglement, and tunneling, and the history and applications of quantum technologies. Learn about the …
An Introduction to Quantum Computing and Its Applications
Quantum Information Science (QIS) - which includes quantum sensing, networking, communications, and computing - provides a technology that both tactical and strategic …
AN INTRODUCTION TO QUANTUM COMPUTING - City …
A gentle introduction to some of the ideas in quantum computing using toy models and graphs. Learn the basics of quantum mechanics, qubits, quantum gates and Deutsch's algorithm …
Introduction to Quantum Computation - uni-paderborn.de
Welcome to Introduction to Quantum Computation! In this course, we shall explore the subject of quantum computation from a theoretical computer science perspective.
Introduction to Quantum Computing - IEEE Web Hosting
Concept of Quantum Computers •Since the quantum computing chip is just introduced, quantum software is probably at the very infantry stage similar to that of the Assembly Language when …
Quantum Computation and Quantum Information - almuhammadi
Quantum Computation and Quantum Information. Michael A. Nielsen & Isaac L. Chuang. 10th Anniversary Edition. CAMBRIDGE UNIVERSITY PRESS.
An introduction to quantum computing - ETH Z
1 Introduction. Quantum computing is the use of quantum phenomena like entanglement and superpo-sition to do e cient computations that, in some cases, cannot be e ciently done by a …
A Short Introduction to Quantum Computing for Physicists
Learn the basics of quantum computing in a few hours with this PDF document. It covers quantum bits, circuits, algorithms, error correction and more, with examples and exercises.
A Gentle Introduction to Quantum Computing - Lucy Cavendish …
What can we do with a quantum computer? How do we build a quantum computer? Source: Nature 599, 542 (2021), doi: https://doi.org/10.1038/d41586-021-03476-5. What questions do …
Introduction to Quantum Computing - Institute for Advanced Study
Introduction to Quantum Computing Welcome to the Quantum World! Quantum mechanics developed 1900-1920, explains and predicts natural phenomena at particle level. Polynomial …
Introduction to quantum computing - University of Toronto
Introduction to quantum computing, in general. Qubits, operators on qubits. Quantum circuits. PennyLane, programming quantum circuits. Multi-qubit systems. Entanglement.
An Introduction Quantum Computing - The University of Warwick
can be overcome, a computer that exploits these effects, a quantum computer, could be built that have some powerful properties. It is our aim to give a brief introduction to some of these …
An Introduction to Quantum Computing, without the Physics
31 Oct 2020 · introduction aims to explain the basic principles underpinning quantum computing. It assumes the reader is at ease with linear algebra and with basic concepts in classical …
Chapter Introduction to Quantum Computing - IntechOpen
Quantum Computing is a new kind of computing based on Quantum mechan- ics that deals with the physical world that is probabilistic and unpredictable in nature.
arXiv:1708.03684v5 [cs.DM] 21 Feb 2020
A tutorial on quantum computing for discrete mathematicians, using formal definitions and proofs. It covers the basics of quantum states, operations, algorithms, and examples, without relying …
Introduction to Quantum Computing - NASA Technical Reports …
A PDF document that covers the fundamentals, history, status, and applications of quantum computing. Learn about qubits, quantum gates, quantum algorithms, and the challenges and opportunities of quantum computing for NASA missions.
Introduction to Quantum Computers - Information Technology …
Learn the basics and trends of quantum computers, qubits, quantum circuits, quantum algorithms, and applications. This presentation covers the history, concepts, design, and roadmap of quantum computing, with examples and references.
Introduction to Quantum Computing - RWTH Aachen University
These are the lecture notes for the “Introduction to Quantum Computing” lecture held by Dominique Unruh at RWTH Aachen in the summer term 2024. The lecture notes are updated throughout the semester and should be viewed as an addition to the handwritten notes and the lecture recordings. If you spot an error, please send Jannik Hellenkamp an ...
QUANTUM COMPUTING: AN INTRODUCTION - CERN
A PDF document that explains the fundamentals of quantum computing, such as qubits, entanglement, and quantum algorithms. It also reviews the experimental progress and challenges in building a quantum computer, and discusses the implications for quantum information theory.
An Introduction to Quantum Computing. - arXiv.org
The fields of quantum optics and quantum computing are closely related to one another. Very often breakthroughs in quantum optics are implemented in quantum information processing, storage and quantum communication de-vices. For example, two ways in which cavity QED techniques may be used to to perform quantum computations are (from [8]) 1.
INTRODUCTION TO QUANTUM COMPUTING
A slideshow that explains the basics of quantum computing, such as superposition, entanglement, and tunneling, and the history and applications of quantum technologies. Learn about the difference between classical and quantum computers, and the challenges and opportunities of quantum computing.
An Introduction to Quantum Computing and Its Applications
Quantum Information Science (QIS) - which includes quantum sensing, networking, communications, and computing - provides a technology that both tactical and strategic commanders will leverage to seize the initiative and cre-ate positions of advantage.
AN INTRODUCTION TO QUANTUM COMPUTING - City …
A gentle introduction to some of the ideas in quantum computing using toy models and graphs. Learn the basics of quantum mechanics, qubits, quantum gates and Deutsch's algorithm without advanced mathematics or physics.
Introduction to Quantum Computation - uni-paderborn.de
Welcome to Introduction to Quantum Computation! In this course, we shall explore the subject of quantum computation from a theoretical computer science perspective.
Introduction to Quantum Computing - IEEE Web Hosting
Concept of Quantum Computers •Since the quantum computing chip is just introduced, quantum software is probably at the very infantry stage similar to that of the Assembly Language when the Z80 chip was introduced in the 80s low level codes to move data in various memory registers and perform basic arithmetic operation
Quantum Computation and Quantum Information - almuhammadi
Quantum Computation and Quantum Information. Michael A. Nielsen & Isaac L. Chuang. 10th Anniversary Edition. CAMBRIDGE UNIVERSITY PRESS.
An introduction to quantum computing - ETH Z
1 Introduction. Quantum computing is the use of quantum phenomena like entanglement and superpo-sition to do e cient computations that, in some cases, cannot be e ciently done by a classical computer.
A Short Introduction to Quantum Computing for Physicists
Learn the basics of quantum computing in a few hours with this PDF document. It covers quantum bits, circuits, algorithms, error correction and more, with examples and exercises.
A Gentle Introduction to Quantum Computing - Lucy Cavendish …
What can we do with a quantum computer? How do we build a quantum computer? Source: Nature 599, 542 (2021), doi: https://doi.org/10.1038/d41586-021-03476-5. What questions do we want to answer? • Question: We know that there is a computer code out there that can solve a particular problem.
Introduction to Quantum Computing - Institute for Advanced …
Introduction to Quantum Computing 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. Turning this around, quantum-mechanical systems, if
Introduction to quantum computing - University of Toronto
Introduction to quantum computing, in general. Qubits, operators on qubits. Quantum circuits. PennyLane, programming quantum circuits. Multi-qubit systems. Entanglement.
An Introduction Quantum Computing - The University of Warwick
can be overcome, a computer that exploits these effects, a quantum computer, could be built that have some powerful properties. It is our aim to give a brief introduction to some of these properties. In order to do this we will describe quantum states, and how they are repre-sented mathematically in Chapter 2. In Chapter 3 possible operations ...
An Introduction to Quantum Computing, without the Physics
31 Oct 2020 · introduction aims to explain the basic principles underpinning quantum computing. It assumes the reader is at ease with linear algebra and with basic concepts in classical computing such as Turing machines and algorithm complexity.
Chapter Introduction to Quantum Computing - IntechOpen
Quantum Computing is a new kind of computing based on Quantum mechan- ics that deals with the physical world that is probabilistic and unpredictable in nature.
arXiv:1708.03684v5 [cs.DM] 21 Feb 2020
A tutorial on quantum computing for discrete mathematicians, using formal definitions and proofs. It covers the basics of quantum states, operations, algorithms, and examples, without relying on quantum mechanics.
