
Quantum Computing for Programmers
Author(s): Robert Hundt (Author)
- Publisher finelybook 出版社: Cambridge University Press
- Publication Date 出版日期: November 20, 2025
- Edition 版本: 2nd
- Language 语言: English
- Print length 页数: 444 pages
- ISBN-10: 1009548530
- ISBN-13: 9781009548533
Book Description
This introduction to quantum computing from a classical programmer’s perspective is meant for students and practitioners alike. More than 50 quantum techniques and algorithms are explained with mathematical derivations and code for simulation, using an open-source code base in Python and C++. New material throughout this fully revised and expanded second edition includes new chapters on Quantum Machine Learning, State Preparation, and Similarity Tests. Coverage includes algorithms exploiting entanglement, black-box algorithms, the quantum Fourier transform, phase estimation, quantum walks, and foundational QML algorithms. Readers will find detailed, easy-to-follow derivations and implementations of Shor’s algorithm, Grover’s algorithm, SAT3, graph coloring, the Solovay-Kitaev algorithm, Moettoenen’s algorithm, quantum mean, median, and minimum finding, Deutsch’s algorithm, Bernstein-Vazirani, quantum teleportation and superdense coding, the CHSH game, and, from QML, the HHL algorithm, Euclidean distance, and PCA. The book also discusses productivity issues like quantum noise, error correction, quantum programming languages, compilers, and techniques for transpilation.
About the Author
Robert Hundt is a Google Distinguished Engineer, leading system software development for Google’s TPU machine-learning supercomputers, including the XLA compiler for TPU, GPU and CPU. He also worked on an open-source CUDA compiler and the high-level synthesis toolchain XLS. He has over twenty-five scientific publications, holds thirty-eight patents, and is a senior member of IEEE.
下载地址
PDF | 4 MB | 2025-12-29
finelybook
