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.

One of the first books to thoroughly examine the subject, Quantum Computing Devices: Principles, Designs, and Analysis covers the essential components in the design of a "real" quantum computer. It explores contemporary and important aspects of quantum computation, particularly focusing on the role of quantum electronic devices as quantum gates.

Explore the tools and concepts for Quantum Computing KEY FEATURES ● Offers a diverse range of perspectives from small businesses to multinational conglomerates on the potential of Quantum computing. ● Provides fundamental principles of quantum, optical, and DNA computing and artificial intelligence. ● Collection of hand-picked quantum computing-related frameworks, tools, and utilities for creating new computing spaces. DESCRIPTION Quantum Computing is a hardware, software and technical architectural design paradigm that change traditional computing including Boolean logic with quantum laws and principles at the algorithmic and hardware level. Its use cases and applications can be found in artificial intelligence machine learning, metaverse, cryptography and blockchain technology. This book will help the readers quickly and accurately to understand quantum computing and related technologies by allowing them to make more informed and intelligent business and technical decisions. This book covers almost every aspect of quantum computing from concepts to algorithms to industrial applications. In addition, the book discusses practical guidelines and best practices for quantum computers and related technologies such as artificial intelligence, photonic and DNA computing wherever possible and as needed. This book prepares readers for the future and will assist them in dealing with any challenges associated with quantum computers. If you're interested in writing code, a quick overview of Q#, a quantum programming language, is included in the book's appendix. Almost every chapter contains some quick answers to frequently asked questions, so you can get what you need right away. At the end of each chapter, a textual summary of the chapter and mind maps is provided for the readers, making it possible for them to obtain an overall impression of the ideas presented in a single moment. WHAT YOU WILL LEARN ● Learn the basics of modern computing that includes quantum, optical, and DNA computing, AI and cloud computing. ● Explore strategies for setting up a development environment for quantum computing implementation. ● Acquire knowledge of the frameworks and algorithms used in Quantum Computing, such as Deutch, Shor's, and Grover's. ● Understand the principles and operations of quantum computing. WHO THIS BOOK IS FOR This book is for anyone who is interested in learning more about quantum computing, the various tools available for its implementation, and seeing how to meet the needs of modern businesses. In addition, those already in artificial intelligence, blockchain, or complex computing will find this book very appealing. TABLE OF CONTENTS 1. Tools for Imaginations, Innovation, Technologies, and Creativity 2. Quantum Physics as an Enabler of a Quantum Computer 3. Mathematics of Quantum Computers: The Fundamentals 4. From Bits to Qubits to Qubytes 5. Artificial Intelligence and Associated Technologies: A Review 6. Quantum Algorithms for Everyone …!!! 7. Quantum Machine Learning 8. Quantum Cryptography: The Future of Security 9. The Architecture of a Quantum Computer 10. DNA, Quantum and Photonic Computers 11. Let’s Realize It: Quantum Start-Ups and Giants in Action 12. The Quantum Strategies 13. The Human Side of Quantum Computer Annexure 1: Q# for quantum computation Annexure 2: Python for Quantum computing Annexure 3: Miscellaneous topics: reduction in emissions, global warming, fearless leadership and important facts Annexure 4: References, Notes and Bibliography

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 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.

You've heard that quantum computing is going to change the world. Now you can check it out for yourself. Learn how quantum computing works, and write programs that run on the IBM Q quantum computer, one of the world's first functioning quantum computers. Learn a simple way to apply quantum mechanics to computer programming. Create algorithms to solve intractable problems for classical computers, and discover how to explore the entire problem space at once to determine the optimal solution. Get your hands on the future of computing today. Quantum computing overhauls computer science. Problems such as designing life-saving drugs and super-large logistics problems that have been difficult or impossible for classical computers to handle can now be solved in moments. Quantum computing makes it possible to explore all possible solutions simultaneously and determine those that work, instead of iterating through each possibility sequentially. Work with quantum computers directly, instead of talking about them theoretically. Work with qubits, the fundamental elements of quantum computing. Discover what makes them different from classical bits. Model complex problems with logic gates specific to quantum computing. Learn how quantum mechanics offers ways to write programs that explore all solutions simultaneously. Create quantum circuits to solve problems that classical computers struggle with. Dive into quantum optimization and cryptography. Use the IBM Q quantum computer to both simulate quantum effects, and actually run your programs on a real quantum machine. Get a head start on the technology that will drive computer science into the future. What You Need: Access to the IBM quantum computer, via any internet connection

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.

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 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 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.