3 papers
cs.LG2026
Degeneracy Counting Quantum Algorithm using Decoherence
Malay Marut Das, Mark A. Novotny, Yaroslav Koshka
Counting the global optima of a classical optimization problem is a #P-hard task. We develop the canonical thermal pure quantum (CTPQ) state-based degeneracy counting (CTPQsd#) alg…
cs.LG2025
Investigation of D-Wave quantum annealing for training Restricted Boltzmann Machines and mitigating catastrophic forgetting
Abdelmoula El-Yazizi, Yaroslav Koshka
Modest statistical differences between the sampling performances of the D-Wave quantum annealer (QA) and the classical Markov Chain Monte Carlo (MCMC), when applied to Restricted B…
cs.LG2025
Comparison of D-Wave Quantum Annealing and Markov Chain Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine
Abdelmoula El Yazizi, Samee U. Khan, Yaroslav Koshka
A local-valley (LV) centered approach to assessing the quality of sampling from Restricted Boltzmann Machines (RBMs) was applied to the latest generation of the D-Wave quantum anne…