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Quantum Machine Learning and Optimisation in Finance
book

Quantum Machine Learning and Optimisation in Finance

by Antoine Jacquier, Oleksiy Kondratyev
October 2022
Intermediate to advanced content levelIntermediate to advanced
442 pages
9h 37m
English
Packt Publishing
Content preview from Quantum Machine Learning and Optimisation in Finance

Bibliography

[1]   A. Abbas, D. Sutter, C. Zoufal, A. Lucchi, A. Figalli and S. Woerner. The power of quantum neural networks. Nature Computational Science, 1, 2021.

[2]   D.M. Abrams, N. Didier, B.R. Johnson, M.P. da Silva and C.A. Ryan. Implementation of the XY interaction family with calibration of a single pulse. Nature Electronics, 3, 2020.

[3]   D.H. Ackley, G.E. Hinton and T.J. Sejnowski. A learning algorithm for Boltzmann machines. Cognitive Science, 9(1), 1985.

[4]   S. Adachi and M. Henderson. Application of quantum annealing to training of deep neural networks. arXiv:1510.06356, 2015.

[5]   G. Agliardi and E. Prati. Optimal tuning of quantum generative adversarial networks for multivariate distribution loading. Quantum

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Publisher Resources

ISBN: 9781801813570