Machine learning, quantum computing, quantum Monte Carlo
Positions Held
2020 - 2022 Vector Institute, Postgraduate affiliate
Recent Publications
E. M. Inack, S. Morawetz and R. G. Melko,
"Neural Annealing and Visualization of Autoregressive Neural Networks in the Newman-Moore Model"
Condens. Matter 2022, 7, 38.
M. Hibat-Allah, E. M. Inack, R. Wiersema, R. G. Melko, J. Carrasquilla,
"Variational Neural Annealing"
Nature Machine Intelligence volume 3, pages 952-961 (2021)
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)
E. M. Yamakou, E. M. Inack,
"Coherence resonance and stochastic synchronization in a small-world neural network: An interplay in the presence of spike-timing-dependent plasticity",
arXiv: 2201.054366 (2022)
Seminars
"Variational neural simulations and annealing", Amazon Quantum Computing
"L"informatique quantique, qu"es-ce que c"est, et pourquoi s"y intéresser?", University of Yaoundé I
"Neural annealing and visualization of autoregressive neural networks in the Newman-Moore model", Machine Learning Augmented Sampling for the Molecular Sciences, EPFL
"When a Quantum Physicist meets Artificial Intelligence", AIMS Cameroon
"Variational Neural Annealing", McGill University
"Variational Neural Annealing", XXXII IUPAP Conference on Computational Physics
"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
PIRSA:22050040, Neural annealing and visualization of autoregressive neural networks, 2022-05-18, Quantum Criticality: Gauge Fields and Matter
PIRSA:18100093, Simulating quantum annealing via projective quantum Monte Carlo algorithms, 2018-10-26, Machine Learning Initiative