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      Quantum Computing for Programmers

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      SKU 9781009098175 Categories ,
      This introduction to quantum computing for anybody who knows how to program a conventional computer takes readers from the basics to detailed derivations and implementations of more than 25 fundamental quantum algorithms. The classical open-source code base in Python and C++ is developed from the gr...

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      Description

      Product ID:9781009098175
      Product Form:Hardback
      Country of Manufacture:GB
      Title:Quantum Computing for Programmers
      Authors:Author: Robert Hundt
      Page Count:350
      Subjects:Quantum physics (quantum mechanics and quantum field theory), Quantum physics (quantum mechanics & quantum field theory), Information technology: general topics, Computer programming / software engineering, Information technology: general issues, Computer programming / software development
      Description:This introduction to quantum computing for anybody who knows how to program a conventional computer takes readers from the basics to detailed derivations and implementations of more than 25 fundamental quantum algorithms. The classical open-source code base in Python and C++ is developed from the ground up.
      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.
      Imprint Name:Cambridge University Press
      Publisher Name:Cambridge University Press
      Country of Publication:GB
      Publishing Date:2022-03-31

      Additional information

      Weight882 g
      Dimensions177 × 251 × 28 mm