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Quantum computing for programmers

Quantum computing for programmers (Loan 1 times)

Material type
단행본
Personal Author
Hundt, Robert, author.
Title Statement
Quantum computing for programmers / Robert Hundt.
Publication, Distribution, etc
Cambridge, United Kingdom ;   New York, NY :   Cambridge University Press,   2022.  
Physical Medium
xiii, 360 p. : ill.. ; 26 cm.
ISBN
9781009098175
요약
"This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. More than 25 fundamental algorithms are explained with full mathematical derivations and classical code for simulation, using an open-source code base developed from the ground up in Python and C++. After presenting the basics of quantum computing, the author focuses on algorithms and the infrastructure to simulate them efficiently, beginning with quantum teleportation, superdense coding, and Deutsch-Jozsa. Coverage of advanced algorithms includes the quantum supremacy experiment, quantum Fourier transform, phase estimation, Shor's algorithm, Grover's algorithm with derivatives, quantum random walks, and the Solovay-Kitaev algorithm for gate approximation. Quantum simulation is explored with the variational quantum eigensolver, quantum approximate optimization, and the Max-Cut and Subset-Sum algorithms. The book also discusses issues around programmer productivity, quantum noise, error correction, and challenges for quantum programming languages, compilers, and tools, with a final section on compiler techniques for transpilation"--
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Quantum computing.
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020 ▼a 9781009098175 ▼q (hardback)
020 ▼z 9781009099974 ▼q (epub)
035 ▼a (KERIS)REF000019744045
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
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100 1 ▼a Hundt, Robert, ▼e author.
245 1 0 ▼a Quantum computing for programmers / ▼c Robert Hundt.
260 ▼a Cambridge, United Kingdom ; ▼a New York, NY : ▼b Cambridge University Press, ▼c 2022.
264 1 ▼a Cambridge, United Kingdom ; ▼a New York, NY : ▼b Cambridge University Press, ▼c 2022.
300 ▼a xiii, 360 p. : ▼b ill.. ; ▼c 26 cm.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a unmediated ▼b n ▼2 rdamedia
338 ▼a volume ▼b nc ▼2 rdacarrier
504 ▼a Includes bibliographical references and index.
520 ▼a "This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. More than 25 fundamental algorithms are explained with full mathematical derivations and classical code for simulation, using an open-source code base developed from the ground up in Python and C++. After presenting the basics of quantum computing, the author focuses on algorithms and the infrastructure to simulate them efficiently, beginning with quantum teleportation, superdense coding, and Deutsch-Jozsa. Coverage of advanced algorithms includes the quantum supremacy experiment, quantum Fourier transform, phase estimation, Shor's algorithm, Grover's algorithm with derivatives, quantum random walks, and the Solovay-Kitaev algorithm for gate approximation. Quantum simulation is explored with the variational quantum eigensolver, quantum approximate optimization, and the Max-Cut and Subset-Sum algorithms. The book also discusses issues around programmer productivity, quantum noise, error correction, and challenges for quantum programming languages, compilers, and tools, with a final section on compiler techniques for transpilation"-- ▼c Provided by publisher.
650 0 ▼a Quantum computing.
945 ▼a ITMT

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 006.3843 H933q Accession No. 111867996 Availability In loan Due Date 2022-11-16 Make a Reservation Available for Reserve R Service M

Contents information

Table of Contents

Introduction; 1. The mathematical minimum; 2. Quantum computing fundamentals; 3. Simple algorithms; 4. Scalable, fast simulation; 5. Beyond classical; 6. Complex algorithms; 7. Quantum error correction; 8. Quantum languages, compilers, and tools; Appendix: Sparse Implementation; Bibliography; Index.

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