Co-authors
4
list available
Resume (English only)
Academic Achievements
- Violaris, M., Inack, E., Hossenfelder, S., Sanchez, N. G., Agrawal, S., & Adlam, E. (2025). Einstein hated entanglement — and five other quantum myths. Nature, 644(8078), 866-869.
- Carrasquilla, J., Hibat-Allah, M., Inack, E., Makhzani, A., Neklyudov, K., Taylor, G. W., & Torlai, G. (2025). Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition.
- Khandoker, S. A., Inack, E. M., & Hibat-Allah, M. (2025). Lattice Protein Folding with Variational Annealing.
- Inack, E., & Javanparast, B. (2023). From Fundamental Research To Commercialization. In Canadian Science Policy Centre. Ottawa.
- Inack, E., Javanparast, B., & El Mabrouk, M. (2023). Quantum Intelligence Pushes Beyond Efficient Frontier.
- 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.
- 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.
- Inack, E. M., Morawetz, S., & Melko, R. G. (2022). Neural annealing and visualization of autoregressive neural networks in the Newman-Moore model.
- 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.
Research Experience
- Postgraduate affiliate, Vector Institute, 2020-2022; Current position: Research Scientist at Perimeter Institute for Theoretical Physics.
Background
- Research Interests: Machine learning, quantum computing, quantum Monte Carlo. Research Areas: Quantum Matter.