Machine Learning Meets Quantum State Preparation
These movies accompany the paper
Machine Learning Meets Quantum State Preparation: The Phase Diagram of Quantum Control by Bukov et al. For the single qubit, we present three movies showing protocols
found by the RL agent (Movie 13) and three moves for the oneparameter variational protocols (Movie 46) for T=0.5, 1.0, 3.0, respectively.
The target state on the Bloch sphere is shown in red, while the instantaneous state  in green (cf. Fig. 2 from main text where the viewpoint is put inside the Bloch sphere).
The protocol time step size is \(\delta =0.5 \). The final two movies show the learning dynamics in for a single qubit with T= 2.4 and ten coupled qubit system for T=4.0.
Single qubit protocols learned by the RL agent. Movies 13 show the protocols found by the RL agent for a single qubit for protocol durations of T=0.5, 1.0, 3.0 respectively:
Movie 1,Movie 2, Movie 3.

Single qubit variational protocols. Movies 46 show variational protocols inspired found by the RL agent for a single qubit for protocol durations of T=0.5, 1.0, 3.0 respectively:
Movie 4, Movie 5, Movie 6.

Learning dynamics. Movies 78 shows the learning dynamics of the single qubuit with T=2.4 and ten coupled qubits with T=3.0, respectively.
The reward in the manybody Movie 8, \(\tilde F_h(t) = 1 + \log F_h(T)/L\), can be thought of as the fidelity per site.
Movie 7, Movie 8.
