07-11, 14:30–15:00 (Europe/Amsterdam), Function (4.1)
We are presenting updates to the Piccolo.jl family of Julia packages, including NamedTrajectories.jl and QuantumCollocation.jl. New features include robust control, leakage suppression, subspace gate optimization, improved unitary geodesic initialization, easy-to-use and powerful plotting tools, expanded documentation, and new examples. We will also present some of our results on hardware and the future roadmap for Piccolo.jl.
Piccolo.jl is a meta-package for setting up, solving, and analyzing quantum optimal control problems using Padé Integrator Collocation (PICO) method, detailed in our award-winning, peer-reviewed paper Direct Collocation for Quantum Optimal Control (submitted and received best paper award at IEEE QCE23). Software development is supported by the Unitary Fund where we host weekly live-coding sessions in the discord channel!
AG was supported by an appointment to the Intelligence Community Postdoctoral Research Fellowship Program at University of Chicago administered by Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy and the Office of the Director of National Intelligence (ODNI).
Andy J. Goldschmidt is an IC Postdoc at the University of Chicago. He works on methods for automated quantum control and calibration in the Department of Computer Science with Fred Chong.