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Quantum Computing for Programmers (Hardcover, New Ed)
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Quantum Computing for Programmers (Hardcover, New Ed)
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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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