Alternatives and similar repositories for MPC4quantum

Users that are interested in MPC4quantum are comparing it to the libraries listed below

• frankschae / A-differentiable-programming-method-for-quantum-control
  ☆31Updated 5 years ago
• LLNL / Juqbox.jl
  Juqbox.jl solves quantum optimal control problems in closed quantum systems
  ☆44Updated last year
• SchusterLab / qoc
  GRAPE with autograd on the TDSE and LME in Python
  ☆12Updated last year
• qgrad / qgrad
  A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
  ☆43Updated 3 years ago
• iqubit-org / supergrad
  Differentiable simulation of superconducting quantum processors.
  ☆31Updated last week
• LLNL / quandary
  Optimal control for open quantum systems
  ☆54Updated this week
• qucontrol / krotov
  Python implementation of Krotov's method for quantum optimal control
  ☆79Updated 8 months ago
• v-sivak / quantum-control-rl
  Model-Free Quantum Control with Reinforcement Learning.
  ☆67Updated 2 years ago
• frmetz / QMPS
  Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks
  ☆22Updated last year
• luigiannelli / threeLS_populationtransfer
  A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks
  ☆16Updated last year
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆62Updated 2 years ago
• XiaotongNi / toric-code-neural-decoder
  Neural network decoder for large distance toric code
  ☆12Updated 6 years ago
• harmoniqs / Piccolo.jl
  A Julia package for solving quantum optimal control problems using direct trajectory optimization.
  ☆45Updated this week
• USCqserver / OpenQuantumTools.jl
  Julia toolkit for open quantum system simulation.
  ☆76Updated last year
• ML4QTech / Collection
  ☆45Updated 3 years ago
• aspuru-guzik-group / SCILLA
  Automated discovery of superconducting circuits
  ☆26Updated 5 years ago
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆36Updated 4 years ago
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 2 years ago
• qi-rub / pyfermions
  Rigorous free fermion entanglement renormalization from wavelet theory
  ☆17Updated 2 years ago
• quantshah / qst-cgan
  Quantum state tomography with conditional generative adversarial networks
  ☆35Updated 3 years ago
• VectorInstitute / VariationalNeuralAnnealing
  A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…
  ☆31Updated 2 years ago
• scikit-quant / scikit-quant
  ☆47Updated last year
• henrik-dreyer / MPS-in-Qiskit
  Preparing Matrix Product State in Qiskit
  ☆33Updated 2 years ago
• QuantumBFS / QuDiffEq.jl
  Quantum Algorithms for solving differential equations
  ☆52Updated last year
• shaimach / Dynamo
  Quantum optimal control - optimize your system or develop and benchmark new optimization algorithms
  ☆14Updated 14 years ago
• entropy-lab / entropy
  ☆31Updated 2 years ago
• Shmoo137 / Lecture-Notes
  Repository for figures and tex files of the book "Modern applications of machine learning in quantum sciences"
  ☆21Updated 4 months ago
• dumkar / learning-to-learn-qnn
  Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks
  ☆39Updated 6 years ago
• MotohisaFukuda / RTNI
  ☆29Updated 2 years ago
• quantshah / gd-qpt
  Gradient-descent quantum process tomography by learning Kraus operators
  ☆25Updated 3 years ago