Variational neural annealing. - Mohamed Hibat-Allah; Estelle M. Inack; Roeland Wiersema; Roger G. Melko; Juan Carrasquilla (Nat. Mach. Intell., 2021)

Supplementing Recurrent Neural Networks with Annealing to Solve Optimization Problems. - Shoummo Ahsan Khandoker; Jawaril Munshad Abedin; Mohamed Hibat-Allah (CoRR, 2022)

Do Quantum Circuit Born Machines Generalize? - Kaitlin Gili; Mohamed Hibat-Allah; Marta Mauri; Chris Ballance; Alejandro Perdomo-Ortiz (CoRR, 2022)

Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy. - Mohamed Hibat-Allah; Roger G. Melko; Juan Carrasquilla (CoRR, 2022)

Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition. - Juan Carrasquilla; Mohamed Hibat-Allah; Estelle M. Inack; Alireza Makhzani; Kirill Neklyudov; Graham W. Taylor; Giacomo Torlai (CoRR, 2023)

Investigating Topological Order using Recurrent Neural Networks. - Mohamed Hibat-Allah; Roger G. Melko; Juan Carrasquilla (CoRR, 2023)

A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models. - Mohamed Hibat-Allah; Marta Mauri; Juan Carrasquilla; Alejandro Perdomo-Ortiz (CoRR, 2023)

Supplementing recurrent neural networks with annealing to solve combinatorial optimization problems. - Shoummo Ahsan Khandoker; Jawaril Munshad Abedin; Mohamed Hibat-Allah (Mach. Learn. Sci. Technol., 2023)

Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice. - Mohamed Hibat-Allah; Ejaaz Merali; Giacomo Torlai; Roger G. Melko; Juan Carrasquilla (CoRR, 2024)

Lattice Protein Folding with Variational Annealing. - Shoummo Ahsan Khandoker; Estelle M. Inack; Mohamed Hibat-Allah (CoRR, 2025)

Adaptive Neural Quantum States: A Recurrent Neural Network Perspective. - Jake McNaughton; Mohamed Hibat-Allah (CoRR, 2025)