84 citations · 204 across the 11 of their papers we have counts for
11 papers
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…
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…
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…
Neural annealing and visualization of autoregressive neural networks in the Newman-Moore model
Estelle M. Inack, Stewart Morawetz, Roger G. Melko
Artificial neural networks have been widely adopted as ansatzes to study classical and quantum systems. However, some notably hard systems such as those exhibiting glassiness and f…
Coherence resonance and stochastic synchronization in a small-world neural network: An interplay in the presence of spike-timing-dependent plasticity
Marius E. Yamakou, Estelle M. Inack
Coherence resonance (CR), stochastic synchronization (SS), and spike-timing-dependent plasticity (STDP) are ubiquitous dynamical processes in biological neural networks. Whether th…
Variational Neural Annealing
Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema +2
Many important challenges in science and technology can be cast as optimization problems. When viewed in a statistical physics framework, these can be tackled by simulated annealin…