Piccolo.jl: An Integrated Quantum Optimal Control Stack

We are introducing Piccolo.jl, an integrated quantum optimal control stack. In our recent paper, "Direct Collocation for Quantum Optimal Control", we demonstrated -- in simulation and on hardware -- that our direct collocation based pulse optimization method (PICO) is a powerful alternative to existing quantum optimal control (QOC) methods. Piccolo.jl is designed to be a simple and powerful interface for utilizing this method for pulse optimization and hardware-in-the-loop control.

overview

Piccolo.jl is a meta-package that reexports the following packages:

• QuantumCollocation.jl: set up and solve QOC problems using PICO [1].
• IterativeLearningControl.jl: utilize PICO solutions to correct model mismatch errors in situ on an experimental system.
• NamedTrajectories.jl: intuitively and efficiently store trajectory data (underlies both of the above packages)

Please visit corresponding package links above for detailed description and documentation for each package.

references

• [1] Direct Collocation for Quantum Optimal Control
  • recently accepted to IEEE QCE23