Estelle Maeva Inack

Estelle Maeva Inack profile picture
Perimeter Institute for Theoretical Physics
Research Scientist
Areas of research:
Quantum Matter
(519) 569-7600 x5014
If you are interested in pursuing a MSc degree, please apply to the Perimeter Scholars International (PSI) masters program., Perimeter Institute is committed to diversity within its community and I welcome applications from underrepresented groups.
Machine learning, quantum computing, quantum Monte Carlo
  • Postgraduate affiliate, Vector Institute, 2020-2022
  • Inack, E., Javanparast, B., & El Mabrouk, M. (2023). Quantum Intelligence Pushes Beyond Efficient Frontier. https://www.yiyaniq.com/
  • Yamakou, M. E., & Inack, E. M. (2023). Coherence resonance and stochastic synchronization in a small-world neural network: an interplay in the presence of spike-timing-dependent plasticity. Nonlinear Dynamics, 111(8), 7789-7805. doi:10.1007/s11071-023-08238-8
  • Profound, I. (2023). Research Spotlight: Canada's National Quantum Strategy. https://news.profoundimpact.com/
  • Carrasquilla, J., Hibat-Allah, M., Inack, E., Makhzani, A., Neklyudov, K., Taylor, G. W., & Torlai, G. (2023). Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition. arxiv:2301.08292v1
  • Inack, E. M., Morawetz, S., & Melko, R. G. (n.d.). Neural Annealing and Visualization of Autoregressive Neural Networks in the Newman–Moore Model. Condensed Matter, 7(2), 38. doi:10.3390/condmat7020038
  • Inack, E. M., Morawetz, S., & Melko, R. G. (2022). Neural annealing and visualization of autoregressive neural networks in the Newman-Moore model. arxiv:2204.11272v1
  • Yamakou, M. E., & Inack, E. M. (2022). Coherence resonance and stochastic synchronization in a small-world neural network: An interplay in the presence of spike-timing-dependent plasticity. arxiv:2201.05436v4
  • Inack, E., Carrasquilla, J., & Hibat-Allah, M. (2022). US20220198246A1, Variational annealing. https://patentimages.storage.googleapis.com/
  • Hibat-Allah, M., Inack, E. M., Wiersema, R., Melko, R. G., & Carrasquilla, J. (n.d.). Variational neural annealing. Nature Machine Intelligence, 3(11), 952-961. doi:10.1038/s42256-021-00401-3
  • Hibat-Allah, M., Inack, E. M., Wiersema, R., Melko, R. G., & Carrasquilla, J. (2021). Variational Neural Annealing. arxiv:2101.10154v1
  • Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition, Machine Learning for Quantum Many-Body Systems, 2023/06/16, PIRSA:23060035
  • Industry Speaker Presentations, Quantum and AI Career Trajectories Mini-Course: Computational Methods and their Applications, 2023/05/11, PIRSA:23050101
  • Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition, Workshop in Data Science - From Theory to Practice, African Institute for Mathematical Sciences, Rwanda, 2023/04/25
  • Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition, Women in Data Science Conference, University of Erlangen-Nuremberg, Erlangen, Germany, 2023/04/20
  • Variational Quantum Annealing Of (Non)-stoquastic Hamiltonians, 21st International Workshop on Computational Physics and Materials Science: Total Energy and Force Methods, International Centre for Theoretical Physics, Trieste, Italy, 2023/01/12
  • Possible career paths in Quantum AI, Machine Learning Black & Indigenous Program, Vector Institute, Toronto, Canada, 2022/10/17
  • Variational Neural Annealing, Endless Summer School, Vector Institute, Toronto, Canada, 2022/09/29
  • Variational neural simulations and annealing, Amazon Quantum Computing, 2022/08/02
  • Neural annealing and visualization of autoregressive neural networks, Quantum Criticality: Gauge Fields and Matter, 2022/05/18, PIRSA:22050040
  • L"informatique quantique, qu"es-ce que c"est, et pourquoi s"y intéresser?, University of Yaoundé I, 2022/01/01
  • Neural annealing and visualization of autoregressive neural networks in the Newman-Moore model, Machine Learning Augmented Sampling for the Molecular Sciences, EPFL, 2022/01/01
  • Pricing derivatives with quantum intelligent algorithms, Vector Institute Quarterly Sponsor Meeting, 2022/01/01
  • Variational Neural Annealing, McGill University, 2022/01/01
  • When a Quantum Physicist meets Artificial Intelligence, AIMS Cameroon, 2022/01/01
  • Variational Quantum Annealing Simulations of Non-stoquastic Hamiltonians, Adiabatic Quantum Computing Virtual Conference, 2021/01/01
  • Variational Neural Annealing, XXXII IUPAP Conference on Computational Physics, 2021/01/01
  • Variational Quantum Annealing Simulations of Non-stoquastic Hamiltonians, APS March Meetings, 2021/01/01
  • Quantum Computing How and Why, TD Home Buyers Townhall, 2021/01/01