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20242026
most citedEfficiency of neural quantum states in light of the quantum geometric tensor

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.str-el2026

Charge and spin orders in the t-U-V-J model: a slave-spin-1 approach

Olivier Simard, Michel Ferrero, Thomas Ayral

Strongly-correlated fermion systems on a lattice have been a subject of intense focus in the field of condensed-matter physics. These systems are notoriously difficult to solve, ev…

cond-mat.str-el2025

Comparing Symmetrized Determinant Neural Quantum States for the Hubbard Model

Louis Sharma, Ahmedeo Shokry, Rajah Nutakki +3

Accurate simulations of the Hubbard model are crucial to understanding strongly correlated phenomena, where small energy differences between competing orders demand high numerical…

quant-ph2024★ 3 cited

Learning interactions between Rydberg atoms

Olivier Simard, Anna Dawid, Joseph Tindall +3

Quantum simulators have the potential to solve quantum many-body problems that are beyond the reach of classical computers, especially when they feature long-range entanglement. To…

quant-ph2024★ 1 cited

Compact fermionic quantum state preparation with a natural-orbitalizing variational quantum eigensolving scheme

Pauline Besserve, Michel Ferrero, Thomas Ayral

Assemblies of strongly interacting fermions, whether in a condensed-matter or a quantum chemistry context, range amongst the most promising candidate systems for which quantum comp…

quant-ph2024★ 6 cited

Efficiency of neural quantum states in light of the quantum geometric tensor

Sidhartha Dash, Luca Gravina, Filippo Vicentini +2

Neural quantum state (NQS) ansätze have shown promise in variational Monte Carlo algorithms by their theoretical capability of representing any quantum state. However, the reason b…