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|a Zak, Michail,
|d 1932-
|1 https://id.oclc.org/worldcat/entity/E39PCjtkryxh4fkkxXg6Tyd4v3
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|a From quantum computing to intelligence /
|c Michail Zak.
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|a Hauppauge, N.Y. :
|b Nova Science Publishers,
|c [2011]
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|a 1 online resource
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|a text
|b txt
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|a computer
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|a online resource
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|a Computer science, technology and applications
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|a Includes bibliographical references (pages 249-250) and index.
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|a Print version record.
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|a FROM QUANTUM COMPUTING TO INTELLIGENCE; Library of Congress Cataloging-in-Publication Data; Contents; Preface; Dedication; To my Grandsons: Mitchell and Niccolo; Part I: Quantum Computing by Simulations; Chapter I.1. Quantum Recurrent Nets; Abstract; I.1.1. Introduction; 1.1.2. Neural Net as a Dynamic System; I.1.3. Quantum Model of Evolution; I.1.4. Quantum Collapse and Sigmoid Function; I.1.5. QRN Architectures; I.1.6. Maximum Likelihood Dynamics; I.1.7. Evolution of Probabilities; I.1.8. Multivariate ONR; I.1.9. QRN with Input Interference; I.1.10. More Complex Architectures.
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|a I.1.11. Non-Markovian ProcessesI. 1.12. Non-Linear QRN; I.1.13. Spontaneous Self-Organization; I.1.14. Summary; Chapter I.2. Quantum Model of Emerging Grammars; Abstract; I.2.1. General Remarks; I.2.2. Emerging Grammar Formalism; I.2.3. Dynamic Complexity; 4. Examples; I.2.5. Summary; Chapter I.3. Quantum Resonance for Simulation NP-Complete Problems; Abstract; I.3.1. Introduction; I.3.2. Quantum Resonance; I.3.3. Combinatorial Problems; I.3.4. Circuit-Based Representation; I.3.5. Summary; Chapter I.4. Quantum Computer of Classical Scale; Abstract; I.4.1. Introduction.
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|a I.4.2. Search for Transition from Determinism to Randomness2'. Proofs; I.4.3. Analysis of Solution; I.4.4. Quantum Analog Computer; I.4.5.1. Comments on Equivalence of Schrödinger and Madelung Equations; I.4.6. Summary; Part II: Quantum-Inspired Computing; Chapter II.1. Quantum-Inspired Dynamic Systems; Abstract; II.1.1. Introduction; II.1.2. Dynamics with Diffusion Feedback; II.1.3. Dynamics with Shock Feedback; II.1.4. Dynamics With Integral Feedback; II.1.5. Comparison of iQ Systems with Newtonian and Quantum Systems; a. Mathematical Viewpoint; b. Physical Viewpoint; II.1.6. Summary.
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|a Chapter II. 2. Closure in Turbulence: Using iQ FeedbackAbstract; II. 2.1. Introduction; 2. Example: Analysis of Turbulence in Shear Flows; I.2.3. Extension of the Liouville Formalism to Post-instability Dynamics; II. 2.4. Computational Complexity of the iQ-Based Approach; II. 2.5. Summary; Chapter II. 3. Solving Partial Differential Equations: Using iQ Approach; Abstract; II. 3.1. Introduction; II. 3.2. Direct Simulation of Parabolic PDE; II. 3.3. Direct Simulation of Hyperbolic PDE; II. 3.4. Direct Simulation of Elliptic PDE; II. 3.5. Summary.
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|a Chapter II. 4. Quantum-Inspired Approach to Optimization ProblemAbstract; II. 4.1. Introduction; II. 4.2. Finding Global Maximum; II. 4.3. Finding Constrained Maximum; II. 4.4. Application to Optimal Control; II. 4.5. Traveling Salesman Problem; II. 4.6. Optimization-Based Information Retrieval; II. 4.7. Summary; Chapter II. 5. Quantum-Inspired Resonance for Associative Memory; Abstract; II. 5.1. Introduction; II. 5.2. Proposed Dynamics for Simulations; II. 5.3. Resonance-Based Hetero-Associated Memory; II. 5.4. Summary; Part III: From Life to Intelligence.
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|a EBSCO eBook Academic Comprehensive Collection North America
|5 TMurS
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|a Quantum computers.
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|i has work:
|a From quantum computing to intelligence (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCG9qFwbRGJmYgFDyMkm3HC
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|t From quantum computing to intelligence.
|d Hauppauge, N.Y. : Nova Science Publishers, 2011
|z 9781613247808
|w (DLC) 2011016751
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|a Computer science, technology and applications.
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