Fr. 105.00

Quantum Computing for Programmers

Englisch · Fester Einband

Erscheint am 30.11.2025

Beschreibung

Mehr lesen










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.

Inhaltsverzeichnis










Acknowledgments; Introduction; 1. The mathematical minimum; 2. Quantum computing fundamentals; 3. Simulation infrastructure; 4. Quantum tools and techniques; 5. Beyond classical; 6. Algorithms exploiting entanglement; 7. State similarity tests; 8. Black-box algorithms; 9. State preparation; 10. Algorithms using amplitude amplification; 11. Algorithms using quantum Fourier transformation; 12. Quantum walk algorithms; 13. Optimization algorithms; 14. Quantum machine learning; 15. Quantum error correction; 16. Quantum languages, compilers, and tools; Appendix: Sparse implementation.

Über den Autor / die Autorin










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.

Kundenrezensionen

Zu diesem Artikel wurden noch keine Rezensionen verfasst. Schreibe die erste Bewertung und sei anderen Benutzern bei der Kaufentscheidung behilflich.

Schreibe eine Rezension

Top oder Flop? Schreibe deine eigene Rezension.

Für Mitteilungen an CeDe.ch kannst du das Kontaktformular benutzen.

Die mit * markierten Eingabefelder müssen zwingend ausgefüllt werden.

Mit dem Absenden dieses Formulars erklärst du dich mit unseren Datenschutzbestimmungen einverstanden.