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Principles of quantum artificial int...
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Wichert, Andrzej.
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Principles of quantum artificial intelligence = quantum problem solving and machine learning /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Principles of quantum artificial intelligence/ Andreas Wichert.
其他題名:
quantum problem solving and machine learning /
作者:
Wichert, Andrzej.
出版者:
Singapore :World Scientific, : c2020.,
面頁冊數:
1 online resource (xviii, 478 p.)
內容註:
Introduction -- Computation -- Problem solving -- Information -- Reversible algorithms -- Probability -- Introduction to quantum physics -- Computation with qubits -- Periodicity -- Search -- Quantum problem-solving -- Grover's algorithm and the input problem -- Statistical machine learning -- Linear-algebra based quantum machine learning -- Stochastic methods -- Adiabatic quantum computation and quantum annealing -- Quantum cognition -- Quantum like-evolution -- Quantum computation and the multiverse -- Conclusion.
標題:
Quantum computers. -
電子資源:
https://www.worldscientific.com/worldscibooks/10.1142/11938#t=toc
ISBN:
9789811224317
Principles of quantum artificial intelligence = quantum problem solving and machine learning /
Wichert, Andrzej.
Principles of quantum artificial intelligence
quantum problem solving and machine learning /[electronic resource] :Andreas Wichert. - 2nd ed. - Singapore :World Scientific,c2020. - 1 online resource (xviii, 478 p.)
Includes bibliographical references and index.
Introduction -- Computation -- Problem solving -- Information -- Reversible algorithms -- Probability -- Introduction to quantum physics -- Computation with qubits -- Periodicity -- Search -- Quantum problem-solving -- Grover's algorithm and the input problem -- Statistical machine learning -- Linear-algebra based quantum machine learning -- Stochastic methods -- Adiabatic quantum computation and quantum annealing -- Quantum cognition -- Quantum like-evolution -- Quantum computation and the multiverse -- Conclusion.
"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"--Publisher's website.
Mode of access: World Wide Web.
ISBN: 9789811224317Subjects--Topical Terms:
535318
Quantum computers.
LC Class. No.: Q335 / .W53 2020
Dewey Class. No.: 004.1
Principles of quantum artificial intelligence = quantum problem solving and machine learning /
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quantum problem solving and machine learning /
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Introduction -- Computation -- Problem solving -- Information -- Reversible algorithms -- Probability -- Introduction to quantum physics -- Computation with qubits -- Periodicity -- Search -- Quantum problem-solving -- Grover's algorithm and the input problem -- Statistical machine learning -- Linear-algebra based quantum machine learning -- Stochastic methods -- Adiabatic quantum computation and quantum annealing -- Quantum cognition -- Quantum like-evolution -- Quantum computation and the multiverse -- Conclusion.
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"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"--Publisher's website.
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https://www.worldscientific.com/worldscibooks/10.1142/11938#t=toc
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