Estelle Maeva Inack

Research Interests
Machine learning, quantum computing, quantum Monte Carlo
Positions Held
- Vector institute postgraduate affiliate
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)
- "Variational Neural Annealing", M. Hibat-Allah, E. M. Inack, R. Wiersema, R. G. Melko, J. Carrasquilla, arXiv: 2101.10154
Seminars
- "Variational Neural Annealing", XXXII IUPAP Conference on Computational Physics
- "Variational Quantum Annealing Simulations of Non-stoquastic Hamiltonians", Adiabatic Quantum Computing Virtual Conference
- "Variational Quantum Annealing Simulations of Non-stoquastic Hamiltonians", APS March Meetings
- "Variational Neural Annealing", Machine Learning and the Physical Sciences Workshop at the 34th Conference on Neural Information Processing Systems (NeurIPS)
- "Variational Neural Annealing", University of Erlangen-Nürnberg
- "Variational Neural Annealing", African Physical Society (AfPS) International Conference
- "Variational Neural Annealing", Quantum Techniques in Machine Learning
- "Variational Neural simulations and annealing", Okinawa Institute of Science and Technology
- "Variational Monte Carlo", Universidad di Los Andes
- "VMC and Machine learning", KITP