3 papers
cond-mat.dis-nn2025
Lattice Protein Folding with Variational Annealing
Shoummo Ahsan Khandoker, Estelle M. Inack, Mohamed Hibat-Allah
Understanding the principles of protein folding is a cornerstone of computational biology, with implications for drug design, bioengineering, and the understanding of fundamental b…
quant-ph2025
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
Juan Carrasquilla, Mohamed Hibat-Allah, Estelle Inack +4
Binary neural networks, i.e., neural networks whose parameters and activations are constrained to only two possible values, offer a compelling avenue for the deployment of deep lea…
cond-mat.dis-nn2025
Large-scale portfolio optimization with variational neural annealing
Nishan Ranabhat, Behnam Javanparast, David Goerz +1
Portfolio optimization is a routine asset management operation conducted in financial institutions around the world. However, under real-world constraints such as turnover limits a…