Quantum Open systems and master equation implementation through reinforcement learning

Completed project after concluding IBM QAMP Fall’22 and Spring’23 along with 5 collaborators.

Worked out on proofreading of Unitary and non-Unitary part of Open Quantum Systems Dynamics and on different noise models including Markovian and non- Markovian noises.

Responsible for applying different protection and recovery reward of the agent required for reinforcement learning of the non-unitary part of Schrodinger equation.

Applied simple instances of open system on models like Quantum Boltzmann Machine(QBM) which showed perfect match between the probability generated and expected.

Worked on solving complex quantum open system through QITE models.

Submitted checkpoints on Github for fulfilment of the project.