3 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
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…
Comparison of D-Wave Quantum Annealing and Gibbs Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine
Abdelmoula El-Yazizi, 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…
Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination
Yaroslav Koshka, M. A. Novotny
Restricted Boltzmann Machines trained with different numbers of iterations were used to provide a diverse set of energy functions each containing many local valleys (LVs) with diff…
Towards Sampling from Nondirected Probabilistic Graphical models using a D-Wave Quantum Annealer
Yaroslav Koshka, M. A. Novotny
A D-Wave quantum annealer (QA) having a 2048 qubit lattice, with no missing qubits and couplings, allowed embedding of a complete graph of a Restricted Boltzmann Machine (RBM). A h…