19 papers
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…
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…
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…
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…