Principles of quantum artificial intelligence. Quantum problem solving and machine learning. 2nd edition. (English) Zbl 1440.81011
Hackensack, NJ: World Scientific (ISBN 978-981-12-2430-0/hbk; 978-981-12-2432-4/ebook). xviii, 478 p. (2020).
Publisher’s description: This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making – the core disciplines of artificial intelligence.
Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian networks and mind in Everett many-worlds.
See the review of the first edition in [Zbl 1304.81004].
Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian networks and mind in Everett many-worlds.
See the review of the first edition in [Zbl 1304.81004].
MSC:
| 81-02 | Research exposition (monographs, survey articles) pertaining to quantum theory |
| 81P68 | Quantum computation |
| 68Txx | Artificial intelligence |
| 68Q12 | Quantum algorithms and complexity in the theory of computing |
| 68-02 | Research exposition (monographs, survey articles) pertaining to computer science |
