Dynamic Gradients for Quantum Control
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Updated
Sep 2, 2024 - Julia
Dynamic Gradients for Quantum Control
Example of Qibolab's platform initialization
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
Quantum hardware module and drivers for Qibo.
Quantum calibration, characterization and validation module for Qibo.
A toolbox to interface reinforcement learning with quantum systems!
Entanglement engineering of optomechanical systems by reinforcement learning
Package for Simulation, Tomography and Analysis of Quantum Computers
Efficient numerical calculation of generalized filter functions
A Julia package to simulate the open-system dynamics of a noisy spin qubit driven by customizable quantum control protocols.
Code and results for quantum optimal control based on switching time optimization
Quantum control algorithms for multiple examples based on the package Qutip
quantum control using Hamiltonian Switching
Trajectory optimization (indirect with iLQR, direct with SQP), model predictive control, and additional tools for quantum optimal control.
A Julia implementation of the Gradient Optimization of Analytic conTrols (GOAT) optimal control methodology.
Robustness characterization of quantum controls and quantum control algorithms.
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
Using reinforcement learning for quantum control
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