Alternatives and similar repositories for QBNN

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

• mostaszewski314 / RL_for_optimization_of_VQE_circuit_architectures
  ☆24Updated 4 years ago
• eperrier / QDataSet
  QDataSet: Quantum Datasets for Machine Learning
  ☆115Updated 3 years ago
• jolle-ag / qdx
  Quantum error correction code AI-discovery with Jax
  ☆40Updated last month
• FlorianFuerrutter / genQC
  Generative Quantum Circuits
  ☆41Updated last month
• PennyLaneAI / generative-quantum-states
  Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
  ☆33Updated 2 years ago
• QLemma / qleet
  qLEET is an open-source library for exploring Loss landscape, Expressibility, Entangling capability, and Training trajectories of noisy p…
  ☆33Updated 2 years ago
• sss441803 / QTensorAI
  A hybrid quantum-classical neural network simulation platform. Quantum simulation uses QTensor, a state-of-the-art tensor network-based s…
  ☆14Updated 2 years ago
• lockwo / rl_qvc_opt
  Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"
  ☆19Updated last year
• amyami187 / effective_dimension
  The power of quantum neural networks
  ☆54Updated 3 years ago
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆35Updated 4 years ago
• lockwo / quantum_computation
  Code for implementing and experimenting with quantum algorithms
  ☆72Updated last year
• flynnbr11 / QMLA
  Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.
  ☆22Updated 2 years ago
• 93xiaoming / RL_state_preparation
  ☆20Updated 5 years ago
• PIQuIL / RydbergGPT
  Our LLM for Rydberg atom physics
  ☆35Updated last year
• qdevpsi3 / quantum-arch-search
  Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
  ☆41Updated 4 years ago
• JQub / QuantumFlow_Tutorial
  A step-by-step tutorial of QuantumFlow, using the MNIST sub-dataset {3,6} and the 16-2-2 neural network as an example.
  ☆57Updated 2 years ago
• ML4QTech / Collection
  ☆44Updated 2 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆32Updated 4 years ago
• Matematija / QubitRBM
  A Quantum circuit simulator based on Restricted Boltzmann Machines.
  ☆24Updated 3 years ago
• TianyiPeng / Cluster-Simulation-Scheme
  ☆13Updated 5 years ago
• PicksPeng / SimuQ
  ☆33Updated 4 months ago
• ichuang / pyqsp
  Python quantum signal processing
  ☆113Updated 7 months ago
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆35Updated last year
• 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
• hsinyuan-huang / predicting-quantum-properties
  Using very few measurements to predict properties in quantum many-body systems.
  ☆201Updated last year
• Sinestro38 / qosf-qgan
  Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using P…
  ☆27Updated 4 years ago
• AlbaCL / Meta-VQE
  ☆11Updated 4 years ago
• FujiiLabCollaboration / MNISQ-quantum-circuit-dataset
  MNISQ circuit dataset for machine learning and quantum machine learning
  ☆29Updated last year
• tencent-quantum-lab / tensorcircuit
  Tensor network based quantum software framework for the NISQ era
  ☆321Updated this week
• yuxuan-du / Quantum_architecture_search
  ☆42Updated 3 years ago