Model and solve optimal control problems in Julia
Quantum Optimal Control with Direct Collocation
A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method
A high-performance library for gradient based quantum optimal control
quantum optimal control with direct collocation
Trajectory optimization (indirect with iLQR, direct with SQP), model predictive control, and additional tools for quantum optimal control.
Perform open-loop optimization of continuous control pulses using fast, high-order timestepping based on Hermite interpolation to find optimal control pulses for implementing quantum gates.
A julia package for doing quantum optimal control with the trajectory optimization algorithm ALTRO
This repository applies Machine Learning to Quantum Optimal Control (QOC) for preparing the highly entangled Greenberger–Horne–Zeilinger (GHZ) state.
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