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
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.
A toolbox to interface reinforcement learning with quantum systems!
Code to compare log sensitivity and RIM robustness measures of energy landscape controllers
Evolve any unitary using solve_ivp
Entanglement engineering of optomechanical systems by reinforcement learning
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.
Overview of Qyber\black
quantum control using Hamiltonian Switching
A Julia implementation of the Gradient Optimization of Analytic conTrols (GOAT) optimal control methodology.
Dynamic Gradients for Quantum Control
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
Code and data for differential sensitivity bounds for dynamic control used in "Robustness of Dynamic Quantum Control: Differential Sensitivity Bounds".
Model predictive control for robust quantum state preparation
Using reinforcement learning for quantum control
Code for the paper Bilinear Dynamic Mode Decomposition for Quantum Control
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