Aleksander Kubica, Sam McArdle, Alexander M. Dalzell, Andras Gilyen, Chi-Fang Chen, Connor T. Hann, Emil T. Khabiboulline, Mario Berta, Michael J. Kastoryano, Przemyslaw Bienias

Quantum Algorithms

A Survey of Applications and End-to-end Complexities

• Gebundenes Buch

Produktbeschreibung

This book provides a comprehensive, up-to-date survey of quantum algorithms and how they connect to practical, concrete applications of quantum computing. Its modular, encyclopedic structure facilitates usage as a reference for researchers. This title is also available as Open Access on Cambridge Core.

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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 31. Mai 2025
• Englisch
• ISBN-13: 9781009639644
• ISBN-10: 1009639641
• Artikelnr.: 73582237

Inhaltsangabe

Part I. Areas of Application: 1. Condensed matter physics
2. Quantum chemistry
3. Nuclear and particle physics
4. Combinatorial optimization
5. Continuous optimization
6. Cryptanalysis
7. Solving differential equations
8. Finance
9. Machine learning with classical data
Part II. Quantum Algorithmic Primitives: 10. Quantum linear algebra
11. Hamiltonian simulation
12. Quantum Fourier transform
13. Quantum phase estimation
14. Amplitude amplification and estimation
15. Gibbs sampling
16. Quantum adiabatic algorithm
17. Loading classical data
18. Quantum linear system solvers
19. Quantum gradient estimation
20. Variational quantum algorithms
21. Quantum tomography
22. Quantum interior point methods
23. Multiplicative weights update method
24. Approximate tensor network contraction
Part III. Fault-Tolerant Quantum Computing: 25. Basics of fault tolerance
26. Quantum error correction with the surface code
27. Logical gates with the surface code
Appendix
References
Index.