Carlos L. Benavides-Riveros

Reinforcement Learning-Assisted Quantum Simulation of Many-Body Excited States and Real-Time Dynamics

Abstract The computation of electronic excited states and real-time quantum dynamics of many-Fermion systems is among the most promising applications of near-term quantum computing. In this work, we generalize the reinforcement learning contracted quantum eigensolver (RL-CQE), previously developed for ground-state prob...