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20162026
most citedEfficient tensor network simulation of IBM's Eagle kicked Ising experiment

149 citations · 353 across the 38 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

quant-ph2026

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…

cond-mat.dis-nn2026

Truncated Wigner dynamics of biclique quantum spin glasses

Dries Sels

Quantum spin glasses are often considered testbeds for studying quantum optimization algorithms and as such have been the subject of various quantum advantage claims. Here we inves…

quant-ph2026

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…

cond-mat.dis-nn2026

Variational Iterative Rotation Algorithm: Combinatorial Optimization with Classical Kicked Tops

Flaviano Morone, Andrew D. Kent, Dries Sels

We investigate a classical formulation of the Quantum Approximate Optimization Algorithm (QAOA), realized as a Hamiltonian dynamical system of classical kicked tops, which we call…

quant-ph2026

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…

stat.ML2026

Counterdiabatic Hamiltonian Monte Carlo

Reuben Cohn-Gordon, Uroš Seljak, Dries Sels

Hamiltonian Monte Carlo (HMC) is a state of the art method for sampling from distributions with differentiable densities, but can converge slowly when applied to challenging multim…