Scholar
Mohamed Hibat-Allah
Google Scholar ID: kALGR-cAAAAJ
Assistant Professor, University of Waterloo
Citations & Impact
Citations
773
H-index
10
i10-index
10
Publications
20
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- "Recurrent neural network wave functions" published in Phys. Rev. Research 2, 023358 (2020), introduces a variational ansatz for many-body quantum systems using RNNs. "Variational neural annealing" published in Nature Machine Intelligence 3, 952–961 (2021), presents a classical/quantum variational framework bridging ideas from annealing algorithms and autoregressive generative models.
Research Experience
- Assistant Professor at the University of Waterloo, teaching 'Neural Networks' (AMATH449/CS479/CS679) in Winter and Fall 2025.
Background
- An assistant professor at the Applied Math Department of UWaterloo and a Faculty Affiliate at Vector Institute for Artificial Intelligence. His research interests lie in the intersection of language modeling and quantum/classical many-body physics, specifically: Recurrent Neural Network & Transformer-based quantum states for many-body simulation; Generative-enhanced combinatorial optimization.
Miscellany
- Personal interests and contact details are not explicitly mentioned.
