Alternatives and similar repositories for qWGAN:

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

• GiggleLiu / QuantumCircuitBornMachine
  gradient based training of Quantum Circuit Born Machine
  ☆43Updated 5 years ago
• R-Sweke / DeepQ-Decoding
  Decoders for fault tolerant quantum computation via deepQ reinforcement learning
  ☆46Updated 2 years ago
• XanaduAI / expressive_power_of_quantum_models
  This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of …
  ☆48Updated 4 years ago
• JonasLandman / QCNN
  quantum convolutional neural network - simulations
  ☆105Updated 5 years ago
• hsim13372 / QCompress
  A Python framework for the quantum autoencoder
  ☆27Updated 6 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
• hsim13372 / QCompress-1
  Quantum Autoencoder Implementation using Forest and OpenFermion
  ☆21Updated 6 years ago
• bartubisgin / QSVTinQiskit-2021-Europe-Hackathon-Winning-Project-
  Search with Quantum Singular Value Transformation in Qiskit
  ☆50Updated 3 years 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
• QuantumAI-lib / NISQAI
  A Python toolkit for quantum neural networks.
  ☆40Updated 6 years ago
• R8monaW / DeepQNN
  Implementations for training deep quantum neural networks in Mathematica and MATLAB.
  ☆26Updated 5 years ago
• rdisipio / quantum_unfolding
  Unfolding with quantum computing.
  ☆15Updated 2 years ago
• mariomotta / QITE
  ☆39Updated 5 years ago
• XanaduAI / quantum-inspired-algorithms
  Quantum-inspired algorithms for linear algebra applications. The repository contains all source code used to generate results presented i…
  ☆99Updated 5 years ago
• yuxuan-du / Quantum_architecture_search
  ☆39Updated 3 years ago
• quantshah / qst-cgan
  Quantum state tomography with conditional generative adversarial networks
  ☆35Updated 2 years ago
• AdrianPerezSalinas / universal_qlassifier
  ☆29Updated 4 years ago
• RQC-QApp / NNQST
  🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)
  ☆22Updated 6 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆31Updated 4 years ago
• rigetti / quantumflow-qaoa
  Optimize QAOA circuits for graph maxcut using tensorflow
  ☆30Updated 6 years ago
• dumkar / learning-to-learn-qnn
  Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks
  ☆37Updated 5 years ago
• gecrooks / quantumflow
  QuantumFlow: A Quantum Algorithms Development Toolkit
  ☆59Updated 8 months ago
• qiskit-community / open-science-prize
  ☆42Updated 3 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• LucianoPereiraValenzuela / HEEM
  Library to implement the Variational Quantum Eigensolver (VQE) using hardware-efficient entangled measurements to estimate the energy
  ☆10Updated last year
• PennyLaneAI / pennylane-qulacs
  The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.
  ☆31Updated this week
• Jaybsoni / Quantum-Convolutional-Neural-Networks
  Exploring QCNNs for Classifying Phases of Matter
  ☆53Updated 3 months ago
• amyami187 / effective_dimension
  The power of quantum neural networks
  ☆53Updated 3 years ago
• CERN-IT-INNOVATION / QuASK
  Quantum Advantage Seeker with kernel
  ☆35Updated 5 months ago
• txhaug / quantum-geometry
  Program to calculate quantum geometry properties of parametrized quantum circuits. Determines number of redundant parameters, effective q…
  ☆12Updated 2 months ago