Alternatives and similar repositories for neural-network-for-nonlocality-in-networks

Users that are interested in neural-network-for-nonlocality-in-networks are comparing it to the libraries listed below

• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• Krastanov / neural-decoder
  Neural Network Decoders for Quantum Error Correcting Codes
  ☆35Updated 7 years ago
• GiggleLiu / QuantumCircuitBornMachine
  gradient based training of Quantum Circuit Born Machine
  ☆44Updated 6 years ago
• R-Sweke / DeepQ-Decoding
  Decoders for fault tolerant quantum computation via deepQ reinforcement learning
  ☆48Updated 3 years ago
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆159Updated last year
• jolle-ag / qdx
  Quantum error correction code AI-discovery with Jax
  ☆43Updated 4 months ago
• quantshah / qst-cgan
  Quantum state tomography with conditional generative adversarial networks
  ☆35Updated 3 years ago
• SchusterLab / quantum-optimal-control
  ☆79Updated 4 years ago
• BQSKit / qsearch
  A compiler for quantum computers based on A* and numerical optimization.
  ☆28Updated 2 years ago
• emstoudenmire / TNML
  Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…
  ☆163Updated 6 years ago
• mcmahon-lab / error_mitigation_vqe
  Tools for optimizing quantum circuits and for performing rescaling-based error mitigation.
  ☆10Updated 3 years ago
• GTorlai / nnqsr
  Neural-network quantum state reconstruction (Qubits/Spin-1/2)
  ☆12Updated 7 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆31Updated 4 years ago
• chaserileyroberts / TensorNetsForML
  Code for the paper "Tensor Networks for Maching Learning"
  ☆17Updated 5 years ago
• quantummind / deepQ
  Quantum circuit optimization with deep learning
  ☆23Updated 5 years ago
• KimGroup / AQT
  ☆13Updated 4 years ago
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 2 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/…
  ☆29Updated 4 years ago
• gecrooks / quantumflow
  QuantumFlow: A Quantum Algorithms Development Toolkit
  ☆59Updated 4 months ago
• glivan / tensor_networks_for_probabilistic_modeling
  Probabilistic modelling with tensor networks
  ☆29Updated 5 years ago
• Fanerst / simulate_sycamore
  Simulating Sycamore quantum circuits classically using tensor network algorithm.
  ☆58Updated 2 years ago
• dingliu0305 / Tree-Tensor-Networks-in-Machine-Learning
  ☆31Updated 6 years ago
• txhaug / nisq-sdp
  Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.
  ☆12Updated 8 months ago
• pooya-git / DeepNeuralDecoder
  ML-Based Quantum Error Decoder
  ☆14Updated 7 years ago
• njross / simcount
  Quantum algorithms for the simulation of Hamiltonian dynamics.
  ☆29Updated 2 years ago
• v-sivak / quantum-control-rl
  Model-Free Quantum Control with Reinforcement Learning.
  ☆65Updated 2 years ago
• mariomotta / QITE
  ☆39Updated 5 years ago
• hsinyuan-huang / predicting-quantum-properties
  Using very few measurements to predict properties in quantum many-body systems.
  ☆206Updated 2 years ago
• Luke-Heyfron / TOpt
  ☆19Updated 7 years ago
• alec-eickbusch / ECD_control
  ☆27Updated 2 years ago