31 to 40 of 1,095 results for **Quantum computing**

Principles of Quantum Computation and Information - Vol.1: Basic Concepts

$58.00

Quantum computation and information is a new, rapidly developing interdisciplinary field. Therefore, it is not easy to understand its fundamental concepts and central results without facing numerous technical details. This book provides the reader a useful and not-too-heavy guide. It offers a simple and self-contained introduction; no previous knowledge of quantum mechanics or classical computation is required.Volume I may be used as a textbook for a one-semester introductory course in quantum information and computation, both for upper-level undergraduate students and for graduate students. It contains a large number of solved exercises, which are an essential complement to the text, as they will help the student to become familiar with the subject. The book may also be useful as general education for readers who want to know the fundamental principles of quantum information and computation and who have the basic background acquired from their undergraduate course in physics, mathematics, or computer science.Introduction To Quantum Computing

Quantum computation is a remarkable subject building on the great computational discovery that computers based on quantum mechanics are exponentially powerful. This course aims to make this cutting-edge material broadly accessible to undergraduate students, including computer science majors who do not have any prior exposure to quantum mechanics.

TABLE OF CONTENTS

Introduction

1 Complex Numbers

1.1 Basic Definitions

1.2 The Algebra of Complex Numbers

1.3 The Geometry of Complex Numbers

2 Complex Vector Spaces

2.1 Cn as the Primary Example

2.2 Definitions, Properties and Examples

2.3 Basis and Dimension

2.4 Inner Products and Hilbert Spaces

2.5 Eigenvalues and Eigenvectors

2.6 Hermitian and Unitary Matrices

2.7 Tensor Product of Vector Spaces

3 The Leap from Classical to Quantum

3.1 Classical Deterministic Systems

3.2 Probabilistic Systems

3.3 Quantum Systems

3.4 Assembling Systems

4 Basic Quantum Theory

4.1 Quantum States

4.2 Observables

4.3 Measuring

4.4 Dynamics

4.5 Assembling Quantum Systems

5 Architecture

5.1 Bits and Qubits

5.2 Classical Gates

5.3 Reversible Gates

5.4 Quantum Gates

6 Algorithms

6.1 Deutsch's Algorithm

6.2 The Deutsch-Jozsa Algorithm

6.3 Simon's Periodicity Algorithm

6.4 Grover's Search Algorithm

6.5 Shor's Factoring Algorithm

7 Programming Languages

7.1 Programming in a Quantum World

7.2 Quantum Assembly Programming

7.3 Towards Higher-Level Quantum Programming

7.4 Quantum Computation before Quantum Computers

8 Theoretical Computer Science

8.1 Deterministic and Nondeterministic Computations

8.2 Probabilistic Computations

8.3 Quantum Computations

9 Cryptography

9.1 Classical Cryptography

9.2 Quantum Key Exchange I: The BB84 Protocol

9.3 Quantum Key Exchange II: The B92 Protocol

9.4 Quantum Key Exchange III: The EPR Protocol

9.5 Quantum Teleportation

10 Information Theory

10.1 Classical Information and Shannon Entropy

10.2 Quantum Information and von Neumann Entropy

10.3 Classical and Quantum Data Compression

10.4 Error-Correcting Codes

11 Hardware

11.1 Quantum Hardware: Goals and Challenges

11.2 Implementing a Quantum Computer I: Ion Traps

11.3 Implementing a Quantum Computer II: Linear Optics

11.4 Implementing a Quantum Computer III: NMR and

Superconductors

11.5 Future of Quantum Ware

Appendix 1 Historical Bibliography of Quantum Computing

Appendix 2 Answers to Selected Exercises

Appendix 3 Quantum Computing Experiments withMATLAB

Appendix 4 Keeping Abreast of Quantum News: Quantum

Computing on the Web and in the Literature

Appendix 5 Selected Topics for Student Presentations

Bibliography

Index

TABLE OF CONTENTS

Introduction

1 Complex Numbers

1.1 Basic Definitions

1.2 The Algebra of Complex Numbers

1.3 The Geometry of Complex Numbers

2 Complex Vector Spaces

2.1 Cn as the Primary Example

2.2 Definitions, Properties and Examples

2.3 Basis and Dimension

2.4 Inner Products and Hilbert Spaces

2.5 Eigenvalues and Eigenvectors

2.6 Hermitian and Unitary Matrices

2.7 Tensor Product of Vector Spaces

3 The Leap from Classical to Quantum

3.1 Classical Deterministic Systems

3.2 Probabilistic Systems

3.3 Quantum Systems

3.4 Assembling Systems

4 Basic Quantum Theory

4.1 Quantum States

4.2 Observables

4.3 Measuring

4.4 Dynamics

4.5 Assembling Quantum Systems

5 Architecture

5.1 Bits and Qubits

5.2 Classical Gates

5.3 Reversible Gates

5.4 Quantum Gates

6 Algorithms

6.1 Deutsch's Algorithm

6.2 The Deutsch-Jozsa Algorithm

6.3 Simon's Periodicity Algorithm

6.4 Grover's Search Algorithm

6.5 Shor's Factoring Algorithm

7 Programming Languages

7.1 Programming in a Quantum World

7.2 Quantum Assembly Programming

7.3 Towards Higher-Level Quantum Programming

7.4 Quantum Computation before Quantum Computers

8 Theoretical Computer Science

8.1 Deterministic and Nondeterministic Computations

8.2 Probabilistic Computations

8.3 Quantum Computations

9 Cryptography

9.1 Classical Cryptography

9.2 Quantum Key Exchange I: The BB84 Protocol

9.3 Quantum Key Exchange II: The B92 Protocol

9.4 Quantum Key Exchange III: The EPR Protocol

9.5 Quantum Teleportation

10 Information Theory

10.1 Classical Information and Shannon Entropy

10.2 Quantum Information and von Neumann Entropy

10.3 Classical and Quantum Data Compression

10.4 Error-Correcting Codes

11 Hardware

11.1 Quantum Hardware: Goals and Challenges

11.2 Implementing a Quantum Computer I: Ion Traps

11.3 Implementing a Quantum Computer II: Linear Optics

11.4 Implementing a Quantum Computer III: NMR and

Superconductors

11.5 Future of Quantum Ware

Appendix 1 Historical Bibliography of Quantum Computing

Appendix 2 Answers to Selected Exercises

Appendix 3 Quantum Computing Experiments withMATLAB

Appendix 4 Keeping Abreast of Quantum News: Quantum

Computing on the Web and in the Literature

Appendix 5 Selected Topics for Student Presentations

Bibliography

Index

How to Create Machine Superintelligence: A Quick Journey through Classical/Quantum Computing, Artificial Intelligence, Machine Learning, and Neural Networks (Second Edition)

This short book will cover many approaches to**machine learning** and the main classes of **artificial neural networks** and how these computational approaches can potentially lead to the creation of **artificial general intelligence**.

In this book, you will find a quick explanation of two main methodologies for computation: classical and**quantum computing**, and how the principles of operation of those can be applied to building artificial intelligence. We will also briefly touch upon the most important **quantum algorithms** and main architectures for quantum computing.

You will also learn about the fundamental limitations of computation and about the paradigms of uncertainty and unpredictability of the world. We will see why this is important for understanding the capabilities of natural and artificial intelligence.

$13.75

Imagine what an astonishing effect could happen if we combined profound human natural creativity with computersâ€™ numerical and logical capabilities. Probably, individuals who will use this technology will immensely benefit from it. This short book will cover many approaches to

In this book, you will find a quick explanation of two main methodologies for computation: classical and

You will also learn about the fundamental limitations of computation and about the paradigms of uncertainty and unpredictability of the world. We will see why this is important for understanding the capabilities of natural and artificial intelligence.

Quantum Machine Learning: What Quantum Computing Means to Data Mining

$94.95

*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, Revised and Enlarged

The authors explain basic concepts from quantum mechanics and computer science which are used throughout the whole field of quantum computing and quantum communication. This second edition reflects the rapid development of the main ideas and techniques, e.g. by including the most recent experiments on cold atoms.

$90.99

Second edition of the successful textbook which has emerged from a lecture series. The compact introduction addresses graduate students with a reasonably good background in physics, notably in quantum mechanics, plus some knowledge in introductory statistical mechanics and solid-state physics. The authors explain basic concepts from quantum mechanics and computer science which are used throughout the whole field of quantum computing and quantum communication. This second edition reflects the rapid development of the main ideas and techniques, e.g. by including the most recent experiments on cold atoms.

Quantum Computing:An Environment for Intelligent Large Scale Real Application (Studies in Big Data)

$219.99

This book highlights practical quantum key distribution systems and research on the implementations of next-generation quantum communication, as well as photonic quantum device technologies. It discusses how the advances in quantum computing and quantum physics have allowed the building, launching and deploying of space exploration systems that are capable of more and more as they become smaller and lighter. It also presents theoretical and experimental research on the potential and limitations of secure communication and computation with quantum devices, and explores how security can be preserved in the presence of a quantum computer, and how to achieve long-distance quantum communication. The development of a real quantum computer is still in the early stages, but a number of research groups have investigated the theoretical possibilities of such computers.Explorations in Quantum Computing (Texts in Computer Science)

$99.99

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.Quantum Radar (Synthesis Lectures on Quantum Computing)

$40.00

This book offers a concise review of quantum radar theory. Our approach is pedagogical, making emphasis on the physics behind the operation of a hypothetical quantum radar. We concentrate our discussion on the two major models proposed to date: interferometric quantum radar and quantum illumination. In addition, this book offers some new results, including an analytical study of quantum interferometry in the X-band radar region with a variety of atmospheric conditions, a derivation of a quantum radar equation, and a discussion of quantum radar jamming. This book assumes the reader is familiar with the basic principles of non-relativistic quantum mechanics, special relativity, and classical electrodynamics. Our discussion of quantum electrodynamics and its application to quantum radar is brief, but all the relevant equations are presented in the text. In addition, the reader is not required to have any specialized knowledge on classical radar theory.

Table of Contents: Introduction / The Photon / Photon Scattering / Classical Radar Theory / Quantum Radar Theory / Quantum Radar Cross Section / Conclusions

Quantum Computation and Quantum Information (Cambridge Series on Information and the Natural Sciences)

$106.00

In this first comprehensive introduction to the main ideas and techniques of quantum computation and information, Michael Nielsen and Isaac Chuang ask the question: What are the ultimate physical limits to computation and communication? They detail such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error correction. A wealth of accompanying figures and exercises illustrate and develop the material in more depth. They describe what a quantum computer is, how it can be used to solve problems faster than familiar "classical" computers, and the real-world implementation of quantum computers. Their book concludes with an explanation of how quantum states can be used to perform remarkable feats of communication, and of how it is possible to protect quantum states against the effects of noise.Quantum Computer Science: An Introduction

$69.99

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.

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