Quantum Algorithms: A Survey of Applications and End-to-end Complexities
Author: Alexander M. Dalzell , Sam McArdle , Mario Berta , Przemyslaw Bienias , Chi-Fang Chen , András Gilyén , Connor T. Hann , Michael J. Kastoryano , Emil T. Khabiboulline , Aleksander Kubica , Grant Salton , Samson Wang , Fernando G. S. L. Brandão
Publisher finelybook 出版社: Cambridge University Press
Edition 版本: N/A
Publication Date 出版日期: 2025-04-24
Language 语言: English
Print Length 页数: 433 pages
ISBN-10: 1009639641
ISBN-13: 9781009639644
Book Description
The 1994 discovery of Shor’s quantum algorithm for integer factorization―an important practical problem in the area of cryptography―demonstrated quantum computing’s potential for real-world impact. Since then, researchers have worked intensively to expand the list of practical problems that quantum algorithms can solve effectively. This book surveys the fruits of this effort, covering proposed quantum algorithms for concrete problems in many application areas, including quantum chemistry, optimization, finance, and machine learning. For each quantum algorithm considered, the book clearly states the problem being solved and the full computational complexity of the procedure, making sure to account for the contribution from all the underlying primitive ingredients. Separately, the book provides a detailed, independent summary of the most common algorithmic primitives. It has a modular, encyclopedic format to facilitate navigation of the material and to provide a quick reference for designers of quantum algorithms and quantum computing researchers.
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