HIGHLIGHTS
- who: Riccardo Porotti et al. from the (UNIVERSITY) have published the research: Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements, in the Journal: (JOURNAL)
- what: Using a state-of-the-art deep RL approach, the authors show that under these conditions a mere displacement drive, conditioned on the measurement outcome, is sufficient to produce and stabilize Fock states. The authors choose to feed the result of this procedure into the RL agent, meaning the authors provide the quantum state u03c1u0302 as input. This approach has been applied successfully before, e_g. In Fig . . .
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