Fig. 4 | npj Quantum Information

Fig. 4

From: Universal quantum control through deep reinforcement learning

Fig. 4

Average fidelities of the optimized quantum control schemes vs the Gaussian control noise variance for the gate \(\cal{N}\)(2.2, 2.2, π/2). The blue line represents the performance of the noise-optimized control obtained by an RL agent trained under a noisy environment. The green line marked by diamond shapes represents the performance of the control obtained by an RL agent with a noise-free environment. The red dashed line represents the performance of the control trajectory obtained by SGD. Subplot a: zoomed in comparison of the average fidelities of the noise-optimized and noise-free RL control solutions under different values of Gaussian control noise variance. Subplot b: comparison of fidelity variances of three different control schemes under different control noise variances σnoise, where each data point is taken from 60 different control trajectories with control amplitude error at every time step sampled from the Gaussian distribution N(0, σnoise)

Back to article page