1. Deep reinforcement learning for quantum gate control
2. Andrychowicz , M. , Raichuk , A. , Stańczyk , P. , Orsini , M. , Girgin , S. , Marinier , R. , Hussenot , L. , Geist , M. , Pietquin , O. , Michalski , M. , ( 2020 ). What matters for on-policy deep actor-critic methods? a large-scale study . In International conference on learning representations. Andrychowicz, M., Raichuk, A., Stańczyk, P., Orsini, M., Girgin, S., Marinier, R., Hussenot, L., Geist, M., Pietquin, O., Michalski, M., et al. (2020). What matters for on-policy deep actor-critic methods? a large-scale study. In International conference on learning representations.
3. Beer , K. , Bondarenko , D. , Farrelly , T. , Osborne , T. J. , Salzmann , R. , Scheiermann , D. , and Wolf , R . ( 2020 ). Training deep quantum neural networks. Nature communications, 11(1):1--6 . Beer, K., Bondarenko, D., Farrelly, T., Osborne, T. J., Salzmann, R., Scheiermann, D., and Wolf, R. (2020). Training deep quantum neural networks. Nature communications, 11(1):1--6.
4. Quantum machine learning
5. Bravo-Prieto , C. , LaRose , R. , Cerezo , M. , Subasi , Y. , Cincio , L. , and Coles , P. J . ( 2019 ). Variational quantum linear solver. arXiv preprint arXiv:1909.05820 . Bravo-Prieto, C., LaRose, R., Cerezo, M., Subasi, Y., Cincio, L., and Coles, P. J. (2019). Variational quantum linear solver. arXiv preprint arXiv:1909.05820.