aarontrowbridge/qoc-experiments-proto

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Created over 2 years ago
Updated over 1 year ago

aarontrowbridge/qoc-experiments-proto

aarontrowbridge

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quantum optimal control with direct collocation

QuantumCollocation.jl

Quantum Optimal Control with Direct Collocation

Piccolo.jl

A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method

QuIPS

Quantum Information Processing System

Jupyter Notebook

IterativeLearningControl.jl

An implementation of ILC for noisy nonlinear measurements, specifically targeted at quantum systems.

NamedTrajectories.jl

Efficient Handling of Trajectories with User Defined Named Components

QuantumIterativeLearningControl.jl

An implementation of iterative learning control for quantum systems leveraging direct collocation

Gravity

N-body simulation of gravitational interactions using brute force or the Barnes-Hut octree method.

FluxGAN.jl

An implementation in Julia of Generative Adversarial Networks using Flux.jl

cQED

Automated analysis of single-tone spectroscopic data for cQED systems (superconducting transmon qubits)

Jupyter Notebook

aarontrowbridge.github.io

Quantum

Quantum Mechanical Simulations

qoc-experiments

QOC experiments using the Pico.jl family of packages

Jupyter Notebook

TrajectoryIndexingUtils.jl

Utility functions for indexing and slicing trajectory data vectors