stfnmangini / Learning2learnLinks
This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via classical neural networks, using PennyLane and TensorFlow.
☆17Updated 4 years ago
Alternatives and similar repositories for Learning2learn
Users that are interested in Learning2learn are comparing it to the libraries listed below
Sorting:
- quantum convolutional neural network - simulations☆113Updated 6 years ago
- Tensor-Based Quantum Machine Learning☆120Updated 2 years ago
- ☆43Updated 4 years ago
- A Python framework for the quantum autoencoder☆27Updated 6 years ago
- This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of …☆51Updated 5 years ago
- Code for implementing and experimenting with quantum algorithms☆74Updated 2 years ago
- A compiler for quantum computers based on A* and numerical optimization.☆28Updated 2 years ago
- Noah's master thesis on Quantum Bayesian Neural Networks☆11Updated 4 years ago
- ☆39Updated 7 months ago
- The project codes associated with quantum Wasserstein GAN☆53Updated 5 years ago
- The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.☆33Updated this week
- A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.☆83Updated 2 years ago
- MNISQ circuit dataset for machine learning and quantum machine learning☆30Updated last year
- Optimize QAOA circuits for graph maxcut using tensorflow☆30Updated 6 years ago
- A Toolkit for Reproducible Study, Application and Verification of QAOA☆52Updated last year
- Code to benchmark quantum machine learning models☆67Updated last month
- ☆168Updated 3 years ago
- This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.☆45Updated 5 months ago
- gradient based training of Quantum Circuit Born Machine☆44Updated 6 years ago
- Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit☆82Updated 4 years ago
- The power of quantum neural networks☆57Updated 3 years ago
- Exploring QCNNs for Classifying Phases of Matter☆56Updated 9 months ago
- Decoders for fault tolerant quantum computation via deepQ reinforcement learning☆48Updated 3 years ago
- Example of a Quantum LSTM☆100Updated 4 years ago
- Model-Free Quantum Control with Reinforcement Learning.☆65Updated 2 years ago
- Search with Quantum Singular Value Transformation in Qiskit☆54Updated 3 years ago
- sb35☆19Updated 3 years ago
- ORCA's QUBO solver running on a simulated PT-Series☆14Updated 3 years ago
- Code that was used to generate the results for the publication 'Implementing a distance-based classifier with a quantum interference circ…☆15Updated 6 years ago
- Contains material for the PennyLane tutorial at CERN on 3/4 February 2021.☆48Updated 4 years ago