19 citations · 28 across the 11 of their papers we have counts for
4 papers · 1 filter
Exploring fixed points and eigenstates of quantum systems with reinforcement learning
María Laura Olivera-Atencio, Jesús Casado-Pascual, Denis Lacroix
We introduce a reinforcement learning algorithm designed to identify the fixed points of a given quantum operation. The method iteratively constructs the unitary transformation tha…
Neutrino thermalization via randomization on a quantum processor
Oriel Kiss, Ivano Tavernelli, Francesco Tacchino +2
The dynamical evolution of neutrino flavor in supernovae can be modeled by an all-to-all spin Hamiltonian with random couplings. Simulating such two-local Hamiltonian dynamics rema…
Quantum simulations of Green's functions for small superfluid systems
Samuel Aychet-Claisse, Denis Lacroix, Vittorio Somà +1
An end-to-end strategy for hybrid quantum-classical computations of Green's functions in many-body systems is presented and applied to the pairing model. The scheme makes explicit…
Excited States from ADAPT-VQE convergence path in Many-Body Problems: application to nuclear pairing problem and molecule dissociation
Jing Zhang, Denis Lacroix
A quantum computing algorithm is proposed to obtain low-lying excited states in many-body interacting systems. The approximate eigenstates are obtained by using a quantum space dia…