Code and results for quantum optimal control based on switching time optimization
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Updated
Dec 7, 2023 - Python
Code and results for quantum optimal control based on switching time optimization
A toolbox to interface reinforcement learning with quantum systems!
Master thesis in quantum control theory.
Trajectory optimization (indirect with iLQR, direct with SQP), model predictive control, and additional tools for quantum optimal control.
A Julia package to simulate the open-system dynamics of a noisy spin qubit driven by customizable quantum control protocols.
Matlab code for quantum spin-1/2 networks. It provides code to analyse the geometry of such networks, and some basic quantum control and characterisation code.
Evolve any unitary using solve_ivp
Entanglement engineering of optomechanical systems by reinforcement learning
quantum control using Hamiltonian Switching
A Julia implementation of the Gradient Optimization of Analytic conTrols (GOAT) optimal control methodology.
Projeto que usa MPC (Modelo de controle preditivo) juntamente com o controle quântico para manipulação da função de onda apresentada na equação de Schrodinger, a base para mecânica quântica
Dynamic Gradients for Quantum Control
Model predictive control for robust quantum state preparation
Using reinforcement learning for quantum control
Robustness characterization of quantum controls and quantum control algorithms.
Code for the paper Bilinear Dynamic Mode Decomposition for Quantum Control
Quantum control algorithms for multiple examples based on the package Qutip
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