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Books on the topic 'Quantum neural network'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Czischek, Stefanie. Neural-Network Simulation of Strongly Correlated Quantum Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52715-0.

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2

1919-, Pribram Karl H., and Eccles, John C. Sir, 1903-, eds. Rethinking neural networks: Quantum fields and biological data. Erlbaum, 1993.

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3

1919-, Pribram Karl H., and Eccles, John C. Sir, 1903-, eds. Rethinking neural networks: Quantum fields and biological data : proceedings of the First Appalachian Conference on Behavioral Neurodynamics. Erlbaum, 1993.

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4

1994, Altherr Tanguy d., Aurenche P, Veneziano G, and Sorba P, eds. From thermal field theory to neural networks: A day to remember Tanguy Altherr, Cern, 4 November 1994. World Scientific, 1996.

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5

Perus, Mitja. Biological and quantum computing for human vision: Holonomic models and applications. Medical Information Science Reference, 2011.

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6

1921-, Caianiello Eduardo R., Marinaro M, Scarpetta G, Università degli studi di Salerno. Dipartimento di fisica teorica, Istituto italiano per gli studi filosofici, and International Institute for Advanced Scientific Studies, eds. Structure: From physics to general systems : festschrift volume in honour of E.R. Caianiello on his seventieth birthday : Amalfi, Salerno, Italy, 20-24 October 1991. World Scientific, 1992.

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7

Kiong, Loo Chu. Biological and quantum computing for human vision: Holonomic models and applications. Medical Information Science Reference, 2011.

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8

Czischek, Stefanie. Neural-Network Simulation of Strongly Correlated Quantum Systems. Springer International Publishing AG, 2020.

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9

Czischek, Stefanie. Neural-Network Simulation of Strongly Correlated Quantum Systems. Springer International Publishing AG, 2021.

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10

Conti, Claudio. Quantum Machine Learning: Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing. Springer International Publishing AG, 2023.

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11

Raff, Lionel, Ranga Komanduri, Martin Hagan, and Satish Bukkapatnam. Neural Networks in Chemical Reaction Dynamics. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199765652.001.0001.

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This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (iii) parametrization of interatomic potential functions using a genetic algorithm accelerated with a NN; (iv) parametrization of analytic interatomic

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12

Quantum Neural Computation. Springer, 2009.

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13

Ivancevic, Vladimir G., and Tijana T. Ivancevic. Quantum Neural Computation. Springer, 2010.

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14

Ivancevic, Vladimir G., and Tijana T. Ivancevic. Quantum Neural Computation. Springer, 2016.

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15

Song, Houbing Herbert, and Narayan Vyas. Quantum Machine Learning: Quantum Algorithms and Neural Networks. de Gruyter GmbH, Walter, 2024.

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16

Song, Houbing Herbert, and Narayan Vyas. Quantum Machine Learning: Quantum Algorithms and Neural Networks. de Gruyter GmbH, Walter, 2024.

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17

Song, Houbing Herbert, and Narayan Vyas. Quantum Machine Learning: Quantum Algorithms and Neural Networks. de Gruyter GmbH, Walter, 2024.

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18

Pribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Taylor & Francis Group, 2016.

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19

Pribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Taylor & Francis Group, 2014.

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20

Pribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Taylor & Francis Group, 2014.

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21

Pribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Taylor & Francis Group, 2014.

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22

Pribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Taylor & Francis Group, 2014.

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23

Li, Hong-Xing. Fuzzy Systems to Quantum Mechanics. World Scientific Publishing Co Pte Ltd, 2020.

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24

Pribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Lawrence Erlbaum, 1993.

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25

Rocha, Armando Freitas, Eduardo Massad, and Alfredo Pereira. Brain: Fuzzy Arithmetic to Quantum Computing. Springer London, Limited, 2006.

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26

Massad, Eduardo, Armando Freitas Freitas Rocha, and Alfredo Pereira. The Brain: Fuzzy Arithmetic to Quantum Computing. Springer, 2010.

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27

Fox, Raymond. The Use of Self. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780190616144.001.0001.

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This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (iii) parametrization of interatomic potential functions using a genetic algorithm accelerated with a NN; (iv) parametrization of analytic interatomic

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28

Bhattacharyya, Siddhartha, Indrajit Pan, Ashish Mani, Elizabeth Behrman, and Susanta Chakraborti. Quantum Machine Learning. de Gruyter GmbH, Walter, 2020.

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29

Bhattacharyya, Siddhartha, Indrajit Pan, Ashish Mani, Elizabeth Behrman, and Susanta Chakraborti. Quantum Machine Learning. de Gruyter GmbH, Walter, 2020.

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30

Bhattacharyya, Siddhartha, Indrajit Pan, Ashish Mani, Elizabeth Behrman, and Susanta Chakraborti. Quantum Machine Learning. de Gruyter GmbH, Walter, 2020.

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31

Selesnick, S. A. Quantum-Like Networks: An Approach to Neural Behavior Through Their Mathematics and Logic. World Scientific Publishing Co Pte Ltd, 2022.

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32

Gandhi, Vaibhav. Brain-Computer Interfacing for Assistive Robotics: Electroencephalograms, Recurrent Quantum Neural Networks, and User-Centric Graphical Interfaces. Academic Press, 2014.

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33

Gandhi, Vaibhav. Brain-Computer Interfacing for Assistive Robotics: Electroencephalograms, Recurrent Quantum Neural Networks, and User-Centric Graphical Interfaces. Elsevier Science & Technology Books, 2014.

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34

Brain Theory From A Circuits And Systems Perspective How Electrical Science Explains Neurocircuits Neurosystems And Qubits. Springer-Verlag New York Inc., 2013.

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35

Loewenstein, Werner. Physics in Mind: A Quantum View of the Brain. Basic Books, 2013.

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36

Satinover, Jeffrey. The Quantum Brain: The Search for Freedom and the Next Generation of Man. Wiley, 2002.

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37

Kovera, Artem. How to Create Machine Superintelligence: A Quick Journey Through Classical/Quantum Computing, Artificial Intelligence, Machine Learning, and Neural Networks. Independently Published, 2017.

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38

(Editor), G. Scarpetta, ed. Structure: From Physics to General Systems : Festschrift Volume in Honour of E. R. Caianiello on His Seventieth Birthday : Amalfi, Salerno, Italy 20. World Scientific Pub Co Inc, 1993.

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