Fr. 90.00

Concise Guide to Quantum Computing - Algorithms, Exercises, and Implementations

English · Hardback

Shipping usually within 6 to 7 weeks

Description

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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.

List of contents

1. The Quantum Computation Model.- 2. Pauli Matrices and Dirac Matrices.- 3. Basic Qubit Operations.- 4. Entangled States.- 5. Quantum Teleportation.- 6. Universal Elements for Quantum Circuits.- 7. Implementing Boolean Functions.- 8. Quantum Fourier Transform.- 9. Phase Estimation Algorithm.- 10. Outlook of Quantum Computing.

About the author

Dr. Sergei Kurgalin is Professor and Head of the Department of Digital Technologies at Voronezh State University, Russia. 
Dr. Sergei Borzunov is Associate Professor at the same institution.

Summary

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.

Additional text

“This volume, due to its pedagogy and clarity, is strongly recommended to all computer scientists and physicists wanting to embark upon the voyage that quantum computing is bound to have in specific domains … . I strongly recommend Concise Guide to Quantum Computing to all scientists with a mathematical or computer science background … such readers may wish to start studying the field, or to further explore research results, or even to develop new applications of quantum computing.” (L. -F. Pau, Computing Reviews, November 29, 2022)

Report

"This volume, due to its pedagogy and clarity, is strongly recommended to all computer scientists and physicists wanting to embark upon the voyage that quantum computing is bound to have in specific domains ... . I strongly recommend Concise Guide to Quantum Computing to all scientists with a mathematical or computer science background ... such readers may wish to start studying the field, or to further explore research results, or even to develop new applications of quantum computing." (L. -F. Pau, Computing Reviews, November 29, 2022)

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