Neural-network-designed pulse sequences for robust control of singlet-triplet qubits

Understand

Composite pulses are essential for universal manipulation of singlet-triplet spin qubits.

• In the absence of noise, they are required to perform arbitrary single-qubit operations due to the special control constraint of a singlet-triplet qubits; while in a noisy environment, more complicated sequences have been developed to dynamically correct the error.
• Tailoring these sequences typically requires numerically solving a set of nonlinear equations.
• Here we demonstrate that these pulse sequences can be generated by a well-trained, double-layer neural network.