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GitHub / aarontrowbridge / Piccolo.jl
A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aarontrowbridge%2FPiccolo.jl
Stars: 14
Forks: 2
Open Issues: 0
License: mit
Language: Julia
Repo Size: 10.9 MB
Dependencies: pending
Created: about 1 year ago
Updated: 9 days ago
Last pushed: 9 days ago
Last synced: 9 days ago
Commit Stats
Commits: 40
Authors: 2
Mean commits per author: 20.0
Development Distribution Score: 0.05
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/aarontrowbridge/Piccolo.jl
Topics: direct-collocation, iterative-learning-control, julia, optimization, quantum-computing, quantum-optimal-control, trajectory-optimization