國立虎尾科技大學 |

Quantum computing for programmers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantum computing for programmers // Robert Hundt.
Author:	Hundt, Robert,
Description:	1 online resource (xiii, 360 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 21 Mar 2022).
Subject:	Quantum computing. -
Online resource:	https://doi.org/10.1017/9781009099974
ISBN:	9781009099974 (ebook)

Quantum computing for programmers /
Hundt, Robert,

Quantum computing for programmers /Robert Hundt. - 1 online resource (xiii, 360 pages) :digital, PDF file(s).

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 (ebook)Subjects--Topical Terms:

1070322
Quantum computing.

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

Dewey Class. No.: 006.3/843

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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