Principles of Quantum Artificial Intelligence

Principles of Quantum Artificial Intelligence

English | 25 Dec. 2013 | ISBN: 9814566748 | 276 Pages | PDF | 4 MB

In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation - Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based on production systems.


[Fast Download] Principles of Quantum Artificial Intelligence

Ebooks related to "Principles of Quantum Artificial Intelligence" :
Substrate Noise Coupling in Mixed-Signal ASICs
Modeling and Design of Electromagnetic Compatibility for High-Speed Printed Circuit Boards and Packa
System-level Test and Validation of Hardware/Software Systems
Android Phones & Tablets For Dummies
Information and the Modern Corporation (The MIT Press Essential Knowledge series)
Huseyin Abut, John H.L. Hansen, Kazuya Takedaquot;DSP for In-Vehicle and Mobile Systems
Ultra-Low-Power and Ultra-Low-Cost Short-Range Wireless Receivers in Nanoscale CMOS
Introduction To Basic Electricity and Electronics Technology
Information Technology for Balanced Manufacturing Systems: IFIP TC 5, WG 5.5
Elastic Lidar: Theory, Practice, and Analysis Methods
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.