Teaching Affiliations
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.
Research Interests
Machine learning, quantum computing, quantum Monte Carlo
Positions Held
- Postgraduate affiliate, Vector Institute, 2020-2022
Recent Publications
- Khandoker, S. A., Inack, E. M., & Hibat-Allah, M. (2025). Lattice Protein Folding with Variational Annealing. arxiv:2502.20632v1
- Inack, E., & Javanparast, B. (2023). From Fundamental Research To Commercialization. In Canadian Science Policy Centre. Ottawa. https://sciencepolicy.ca/posts/from-fundamental-research-to-commercialization/
- 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. doi:10.48550/arxiv.2301.08292
- 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. doi:10.48550/arxiv.2204.11272
- 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
Seminars
- Variational Neural Annealing: Optimization in Physics, Biology, and Finance, 2025/02/12
- Variational neural annealing of portfolio optimization problems, Generative models for classical and quantum matter, 2024/12/03
- Exploration of Quantum & AI Advantage in Portfolio Optimization, Chicago Quantitative Alliance Conference, 2024/09/11
- Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition, University of Montreal, Centre de recherches mathématiques, Montreal, Canada, 2024/03/26
- Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition, University of Douala, Centre of Atomic Molecular Physics and Quantum Optics, Douala, Cameroon, 2024/01/08
- 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