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Quantum computing for programmers

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantum computing for programmersRobert Hundt.
作者:	Hundt, Robert.
出版者:	Cambridge :Cambridge University Press,2022.
面頁冊數:	xiii, 360 p. :ill., digital ;25 cm.
附註:	Title from publisher's bibliographic system (viewed on 21 Mar 2022).
標題:	Quantum computing.
電子資源:	https://doi.org/10.1017/9781009099974
ISBN:	9781009099974$q(electronic bk.)

Quantum computing for programmers
Hundt, Robert.

Quantum computing for programmers[electronic resource] /Robert Hundt. - Cambridge :Cambridge University Press,2022. - xiii, 360 p. :ill., digital ;25 cm.

Title from publisher's bibliographic system (viewed on 21 Mar 2022).

This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. Over 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.

ISBN: 9781009099974$q(electronic bk.)Subjects--Topical Terms:

725269
Quantum computing.

LC Class. No.: QA76.889 / .H86 2022

Dewey Class. No.: 006.3843

Quantum computing for programmers
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520 $a This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. Over 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.
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