I’m fascinated by the intersection of machine learning and quantum mechanics; both in terms of how we can use quantum processors to accelerate machine learning and how we can leverage techniques from machine learning to help control and verify large-scale quantum systems.
Papers
Variational quantum unsampling on a quantum photonic processor
J. Carolan*, M. Mohseni, J. P. Olson, M. Prabhu, C. Chen, D. Bunandar, M. Y. Niu, N. C. Harris, F. N. C. Wong, M. Hochberg, S. Lloyd, D. Englund
Nature Physics 16, 322 (2020)
Accelerating recurrent Ising machines in photonic integrated circuits
M. Prabhu, C. Roques-Carmes, Y. Shen, N. Harris, L. Jing, J. Carolan*, R. Hamerly, T. Baehr-Jones, M. Hochberg, V. Čeperić, J. D. Joannopoulos, D. R. Englund, M. Soljačić
Optica 7, 551 (2020)
Image credit: R. Matheson
