Alternatives and similar repositories for DIRAC

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

• mostaszewski314 / RL_for_optimization_of_VQE_circuit_architectures
  ☆24Updated 4 years ago
• qdevpsi3 / quantum-arch-search
  Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
  ☆41Updated 4 years ago
• v-sivak / quantum-control-rl
  Model-Free Quantum Control with Reinforcement Learning.
  ☆65Updated 2 years ago
• lockwo / rl_qvc_opt
  Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"
  ☆19Updated last year
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆35Updated 2 years ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆96Updated 3 months ago
• 1QB-Information-Technologies / COOL
  Controlled Online Optimization Learning (COOL): Finding the Ground State of Spin Hamiltonians with Reinforcement Learning (arXiv:2003.000…
  ☆13Updated 5 years ago
• 93xiaoming / RL_state_preparation
  ☆20Updated 6 years ago
• IvanIsCoding / GNN-for-Combinatorial-Optimization
  JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
  ☆59Updated 2 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆31Updated 4 years ago
• amazon-science / co-with-gnns-example
  ☆158Updated last year
• instance01 / qubo-nn
  Classifying, auto-encoding and reverse-engineering QUBO matrices
  ☆52Updated 3 years ago
• ycchen1989 / Var-QuantumCircuits-DeepRL
  Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
  ☆64Updated 4 years ago
• askolik / eqc_for_nco
  Neural combinatorial optimization with equivariant quantum circuits.
  ☆12Updated 3 years ago
• hsinyuan-huang / learning-quantum-process
  Using very few experiments to efficiently learn an approximate model of an n-qubit quantum process.
  ☆17Updated 2 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• jolle-ag / qdx
  Quantum error correction code AI-discovery with Jax
  ☆41Updated 3 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
• Machine-learning-and-complex-systems / DPT
  ☆16Updated 11 months ago
• Z-T-WANG / DeepReinforcementLearningControlOfQuantumCartpoles
  This repository provides the videos that accompany the paper: Deep Reinforcement Learning Control of Quantum Cartpoles
  ☆10Updated 5 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
• GiggleLiu / QuantumCircuitBornMachine
  gradient based training of Quantum Circuit Born Machine
  ☆44Updated 6 years ago
• rigetti / quantumflow-qaoa
  Optimize QAOA circuits for graph maxcut using tensorflow
  ☆30Updated 6 years ago
• Fanerst / FEM
  ☆38Updated 5 months ago
• KimGroup / AQT
  ☆13Updated 4 years ago
• SchusterLab / quantum-optimal-control
  ☆79Updated 4 years ago
• askolik / quantum_agents
  Code for Q-learning with parametrized quantum circuits in OpenAI Gym environments.
  ☆11Updated 3 years ago
• Aqasch / KANQAS_code
  Code for Kolmogorov-Arnold Network for Quantum Architecture Search i.e., KANQAS
  ☆15Updated 8 months ago
• yiminghwang / qWGAN
  The project codes associated with quantum Wasserstein GAN
  ☆53Updated 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/…
  ☆28Updated 4 years ago