3 papers
quant-ph2026
Pre-optimization of quantum circuits, barren plateaus and classical simulability: tensor networks to unlock the variational quantum eigensolver
Baptiste Anselme Martin, Thomas Ayral
Variational quantum algorithms are practical approaches to prepare ground states, but their potential for quantum advantage remains unclear. Here, we use differentiable 2D tensor n…
cond-mat.mtrl-sci2026
Predictive models for strain energy in condensed phase reactions
Baptiste Martin, Shukai Yao, Chunyu Li +3
Molecular modeling of thermally activated chemistry in condensed phases is essential to understand polymerization, depolymerization, and other processing steps of molecular materia…
quant-ph2024
Anderson impurity solver integrating tensor network methods with quantum computing
Francois Jamet, Lachlan P. Lindoy, Yannic Rath +6
Solving the Anderson impurity model typically involves a two-step process, where one first calculates the ground state of the Hamiltonian, and then computes its dynamical propertie…