oameye / piccolo.jl Goto Github PK

"Technologies are ways of commandeering nature: the sky belongs to those who know how to fly; the sea belongs to those who know how to swim and navigate." – Simone de Beauvoir

Piccolo.jl is a meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method.

For documentation please see the individual packages.

To see an overview of the PICO method and a demo of how to use this package, check out our recorded talk at JuliaCon 2023 here.

To see a detailed description of the PICO method, check out our paper here. It won 2nd best paper in the QTEM category at IEEE QCE 2023!

Just run

using Piccolo

and this package reexports the following packages

• QuantumCollocation.jl
• NamedTrajectories.jl
• TrajectoryIndexingUtils.jl

This package is registered! To install enter the Julia REPL, type ] to enter pkg mode, and then run

pkg> add Piccolo

To develop locally, clone this repo and then instantiate the environment in the REPL by running first

pkg> activate .

and then,

pkg> instantiate 

Both commands should be run in pkg mode, which is activated by typing ] in the REPL.

To start julia with the current environment, run

julia --project

from the Piccolo.jl directory.

To run the scripts use, e.g.,

julia -t <num_threads> --project examples/three_qubit_swap/swap.jl

where <num_threads> is the number of threads you want to use as QuantumCollocation.jl takes advantage of multithreading. The --project flag is necessary to make sure the correct environment is loaded.