sofips
PhD student in Quantum Physics. Currently researching Machine Learning Techniques applied to Quantum Mechanics.
Instituto de Física Enrique Gaviola - Universidad Nacional de Córdoba Córdoba, Argentina
Pinned Repositories
series-intro-to-github-flow-sofips
series-intro-to-github-flow-sofips created by GitHub Classroom
gen_alg_xxz
Uses genetic algorithms to find couplings that allow good transmissions in XXZ hamiltonians
Genetic-Algorithm
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.
sofips
Config files for my GitHub profile.
sofips's Repositories
sofips/Genetic-Algorithm
sofips/sofips
Config files for my GitHub profile.
sofips/gen_alg_xxz
Uses genetic algorithms to find couplings that allow good transmissions in XXZ hamiltonians
sofips/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
sofips/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.
sofips/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.