Alternatives and similar repositories for DeepReinforcementLearningControlOfQuantumCartpoles:

Users that are interested in DeepReinforcementLearningControlOfQuantumCartpoles are comparing it to the libraries listed below

• luigiannelli / threeLS_populationtransfer
  A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks
  ☆13Updated 9 months ago
• frmetz / QMPS
  Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks
  ☆20Updated 4 months ago
• v-sivak / quantum-control-rl
  Model-Free Quantum Control with Reinforcement Learning.
  ☆57Updated last year
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆30Updated 4 years ago
• hsinyuan-huang / learning-quantum-process
  Using very few experiments to efficiently learn an approximate model of an n-qubit quantum process.
  ☆15Updated last year
• GrigorievDmitry / Machine-learning-of-Markovian-embedding-for-non-Markovian-quantum-dynamics
  ☆12Updated 5 years ago
• hongyehu / Hamiltonian-driven-shadow-tomography-page
  A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/…
  ☆25Updated 3 years ago
• hongyehu / PyClifford
  An intuitive programming package for simulating and analyzing Clifford circuits, quantum measurement, and stabilizer states with applicat…
  ☆76Updated 3 months ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆28Updated 2 years ago
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆33Updated 4 years ago
• PennyLaneAI / generative-quantum-states
  Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
  ☆33Updated 2 years ago
• lockwo / rl_qvc_opt
  Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"
  ☆18Updated 8 months ago
• quantshah / qst-cgan
  Quantum state tomography with conditional generative adversarial networks
  ☆33Updated 2 years ago
• mariomotta / QITE
  ☆39Updated 5 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆74Updated 7 months ago
• qgrad / qgrad
  A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
  ☆43Updated 2 years ago
• GiggleLiu / QuantumCircuitBornMachine
  gradient based training of Quantum Circuit Born Machine
  ☆43Updated 5 years ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆28Updated 4 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆58Updated last week
• QuEraComputing / QRC-tutorials
  A set of tutorials for quantum reservoir learning.
  ☆23Updated 3 weeks ago
• quantshah / gd-qpt
  Gradient-descent quantum process tomography by learning Kraus operators
  ☆22Updated 2 years ago
• ShHsLin / Neural-Network-Quantum-State
  ☆10Updated 3 years ago
• grmlarose / mpsim
  Package for using Matrix Product States (MPS) to simulate quantum circuits.
  ☆15Updated 4 years ago
• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆69Updated 2 years ago
• USCqserver / OpenQuantumTools.jl
  Julia toolkit for open quantum system simulation.
  ☆74Updated last year
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆11Updated last year
• qMLE / qMLE
  Efficient MATLAB routines for quantum tomography
  ☆24Updated 7 years ago
• GregDMeyer / dynamite
  Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.
  ☆34Updated 3 months ago
• mcmahon-lab / error_mitigation_vqe
  Tools for optimizing quantum circuits and for performing rescaling-based error mitigation.
  ☆10Updated 2 years ago