6 citations · 8 across the 9 of their papers we have counts for
12 papers · 1 filter
Absence of quantum advantage for approximate spin glass optimization
Dries Sels, Flaviano Morone
We perform a semiclassical, large-spin S, analysis of the quantum approximate optimization algorithm (QAOA) on the Sherrington-Kirkpatrick (SK) model, using the truncated Wigner ap…
Reinforcement learning for path integrals in quantum statistical physics
Timour Ichmoukhamedov, Dries Sels
Machine learning is rapidly finding its way into the field of computational quantum physics. One of the most popular and widely studied approaches in this direction is to use neura…
Dynamics of disordered quantum systems with two- and three-dimensional tensor networks
Joseph Tindall, Antonio Mello, Matt Fishman +2
Large scale quantum annealing dynamics of Ising spin glasses were recently implemented on D-Wave's Advantage system on a range of lattices. Following extensive comparison to exi…
Tensor network surrogate models for variational quantum computation
Ryo Watanabe, Dries Sels, Joseph Tindall
We adopt a two-dimensional tensor-network (TN) ansatz to simulate variational quantum algorithms on two-dimensional qubit architectures, demonstrating its capability to accurately…
Adiabatic dressing of quantum enhanced Markov chains
Wen Ting Hsieh, Alev Orfi, Dries Sels
Quantum-enhanced Markov chain Monte Carlo, a hybrid quantum-classical algorithm in which configurations are proposed by a quantum proposer and accepted or rejected by a classical a…
Counterdiabatic Driving with Performance Guarantees
Jernej Rudi Finžgar, Simone Notarnicola, Madelyn Cain +2
Counterdiabatic (CD) driving has the potential to speed up adiabatic quantum state preparation by suppressing unwanted excitations. However, existing approaches either require intr…