Sofía Perón Santana's repositories
gen_alg_xxz
Uses genetic algorithms to find couplings that allow good transmissions in XXZ hamiltonians
qcl
Reproduction of the results obtained in the work of Mitarai et al. (https://doi.org/10.1103/physreva.98.032309) where they propose and apply a framework called Quantum Circuit Learning to three different optimization problems
QM_deep_rl
Implementation of the algorithm developed in the work of Zhang et. al (https://doi.org/10.1103/PhysRevA.97.052333). The following code uses Deep Reinforcement Learning to obtain an optimal sequence of magnetic fields that should be applied to the extremes of a spin chain in order to achieve a perfect transmission.
quantum-state-transfer
Implementation of the algorithm developed in the first part of the work of Zhang et. al (https://doi.org/10.1103/PhysRevA.97.052333). Finds optimal couplings to achieve a perfect transmission via individual configuration of interactions.