Application of deep quantum neural networks to finance

Fontanela, F., Jacquier, J.A., Oumgari, M. (2019). A Quantum algorithm for linear PDEs arising in Finance. arXiv: 1912.02753

1912

Earlier work this paper cites.

Ramos-Calderer, S., Pérez-Salinas, A., García-Martín, D., Bravo-Prieto, C., Cortada, J., Planagumà, J., Latorre, J.I. (2019). Quantum unary approach to option pricing. arXiv:1912.01618

Original

1912

Earlier work this paper cites.

Jozsa,R. (1994). Fidelity for Mixed Quantum States. Journal of Modern Optics

1994

Earlier work this paper cites.

Brassard, G., Hoyer, P., Mosca, M., Tapp, A. (2002). Quantum amplitude amplification and estimation. AMS Contemporary Mathematics

2002

Earlier work this paper cites.

Gnoatto, A., Picarelli, A., Reisinger, C. (2020). Deep xVA solver – A neural network based counterparty credit risk management framework. arXiv:2005.02633

Original

2005

Earlier work this paper cites.

Huge, B., Savine, A. (2020) Differential Machine Learning. arXiv:2005.02347

Original

2005

Cited alongside, same era.

Sharma, D., Cerezo, M., Cincio, L., Coles, J.P. (2020). Trainability of dissipative perceptron-based quantum neural networks. arXiv:2005.12458

Original

2005

Cited alongside, same era.

Antonov, A., Konikov, M., Spector, M. (2015). The free boundary SABR: natural extension to negative rates. Risk

2015

Cited alongside, same era.

McClean, J.R., Boixo, S., Smelyanskiy, V.N., Babbush, R., Neven, H. (2018). Barren plateaus in quantum neural network training landscapes. Nature Communications

2018

Cited alongside, same era.

Arute, F. e ​ t et a ​ l . al. (2019). Quantum supremacy using a programmable superconducting processor. Nature

2019

Woerner, S., Egger, D.J. (2019). Quantum risk analysis. npj Quantum Information

2019

Later among the works it cites.

Beer, K., Bondarenko, D., Farrelly, T., Osborne, J.T., Salzman, R., Scheiermann, D., Wolf, R. (2020). Training deep quantum neural networks. Nature Communications

2020

Closest in time.

Itkin,A. (2020). Deep learning calibration of option pricing models: some pitfalls and solutions. Risk

2020

Closest in time.

Ruf, J., Wang, W. (2020). Hedging with neural networks. SSRN 3580132

2020

Closest in time.

Stamatopoulos, N., Egger, D.J., Sun, Y., Zoufal,C.,Iten,R., Shen,N., Woerner,S. (2020). Option pricing using quantum computers. Quantum

2020

Closest in time.