Figure 3
From: Deep reinforcement learning for universal quantum state preparation via dynamic pulse control
(a) Control trajectory designed by our USP algorithm. The task is to reset the point \(\theta =2/7\pi \), \(\varphi =3/7\pi \) on the Bloch sphere to the target state \(|0\rangle \). The pulses only take discrete values 0, 2 and 3. This reset task is completed at the sixth step. (b) The corresponding motion trail for the reset task on the Bloch sphere with the final fidelity \(F = 0.9999\)