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040 _a WSPC
_b eng
_c WSPC
020 _a9789811224317
_q(ebook)
020 _az789811224300
_q(hbk.)
050 0 4 _aQ335
_b.W53 2020
072 7 _aCOM
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072 7 _aCOM
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082 0 4 _a004.1
_223
100 1 _aWichert, Andrzej.
_9178424
245 1 0 _aPrinciples of quantum artificial intelligence
_h[electronic resource] :
_bquantum problem solving and machine learning /
_cby Andreas Wichert.
250 _a2nd ed.
260 _aSingapore :
_bWorld Scientific,
_c2020.
300 _a1 online resource (xviii, 478 p.)
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader.
520 _a"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.
505 0 _aIntroduction -- 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.
504 _aIncludes bibliographical references and index.
650 0 _aQuantum computers.
_93985
650 0 _aArtificial intelligence.
_93407
655 0 _aElectronic books.
_93294
856 4 0 _uhttps://www.worldscientific.com/worldscibooks/10.1142/11938#t=toc
_zAccess to full text is restricted to subscribers.
942 _cEBK
999 _c97775
_d97775