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Quantum Machine Learning and Optimisation in Finance

You're reading from   Quantum Machine Learning and Optimisation in Finance On the Road to Quantum Advantage

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781801813570
Length 442 pages
Edition 1st Edition
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Authors (2):
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Alexei Kondratyev Alexei Kondratyev
Author Profile Icon Alexei Kondratyev
Alexei Kondratyev
Jacquier Antoine Jacquier Antoine
Author Profile Icon Jacquier Antoine
Jacquier Antoine
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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 Reports, 4(1), 2022.

[6]   A. Agresti. Categorical Data Analysis. Wiley, 3rd Edition, 2013.

[7]   D. Aharonov, W. van Dam, J. Kempe, Z. Landau...

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