Robust Quantum Optimal Control with Trajectory Optimization

Understand

The ability to engineer high-fidelity gates on quantum processors in the presence of systematic errors remains the primary barrier to achieving quantum advantage.

• Quantum optimal control methods have proven effective in experimentally realizing high-fidelity gates, but they require exquisite calibration to be performant.
• We apply robust trajectory optimization techniques to suppress gate errors arising from system parameter uncertainty.
• We propose a derivative-based approach that maintains computational efficiency by using forward-mode differentiation.