Machine learning, quantum computing, quantum Monte Carlo
Recent Publications
T. Parolini, E. M. Inack, G. Giudici, and S. Pilati
"Tunneling in projective quantum Monte Carlo simulations with guiding wave functions"
Phys. Rev. B 100, 214303 (2019)
S. Pilati, E. M. Inack, P. Pieri
"Self-learning projective quantum Monte Carlo simulations guided by restricted Boltzmann machines"
Phys. Rev. E 100, 043301 (2019)
E. M. Inack, G. E. Santoro, L. Dell'Anna, and S. Pilati
"Projective quantum Monte Carlo simulations guided by unrestricted neural network states"
Phys. Rev. B 98, 235145 (2018)
E. M. Inack, G. Giudici, T. Parolini, G. Santoro, and S. Pilati
"Understanding quantum tunneling using diffusion Monte Carlo simulations"
Phys. Rev. A 97, 032307 (2018)
E. M. Inack and S. Pilati
"Simulated quantum annealing of double-well and multiwell potentials"
Phys. Rev. E 92, 053304 (2015)
F. M. Moukam Kakmeni, E. M. Inack, and E. M. Yamakou
"Localized nonlinear excitations in diffusive Hindmarsh-Rose neural networks"
Phys. Rev. E 89, 052919 (2014)
Seminars
"Variational Neural Simulations and Annealing"
"Variational Monte Carlo", Universidad di Los Andes