lockwo / rl_qvc_optLinks
Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"
☆19Updated last year
Alternatives and similar repositories for rl_qvc_opt
Users that are interested in rl_qvc_opt are comparing it to the libraries listed below
Sorting:
- Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)☆41Updated 4 years ago
- Model-Free Quantum Control with Reinforcement Learning.☆65Updated 2 years ago
- Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.☆65Updated 4 years ago
- ☆43Updated 4 years ago
- ☆24Updated 4 years ago
- Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"☆36Updated 2 years ago
- ☆21Updated 6 years ago
- A machine learning algorithm for topological quantum compiling☆31Updated 4 years ago
- PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)☆38Updated 2 years ago
- Code for implementing and experimenting with quantum algorithms☆74Updated 2 years ago
- quantum convolutional neural network - simulations☆113Updated 6 years ago
- qLEET is an open-source library for exploring Loss landscape, Expressibility, Entangling capability, and Training trajectories of noisy p…☆34Updated 2 years ago
- Generative Quantum Circuits☆49Updated 3 months ago
- Quantum error correction code AI-discovery with Jax☆43Updated 4 months ago
- Quantum circuit on top of tensor network. This version is archived, latest open source version release is at https://github.com/tensorcir…☆29Updated last year
- The one-stop package for formulating, simulating, and solving problems in boolean and spin form☆41Updated 9 months ago
- Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks☆22Updated last year
- The power of quantum neural networks☆57Updated 3 years ago
- Code for predicting ground states and classifying phases of matter☆32Updated 2 years ago
- Quantum state tomography with conditional generative adversarial networks☆35Updated 3 years ago
- Exploring QCNNs for Classifying Phases of Matter☆56Updated 9 months ago
- ☆13Updated 5 years ago
- Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.☆22Updated 2 years ago
- Quantum circuit optimization with deep learning☆23Updated 5 years ago
- QDataSet: Quantum Datasets for Machine Learning☆120Updated 4 years ago
- Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks☆39Updated 6 years ago
- Optimize QAOA circuits for graph maxcut using tensorflow☆30Updated 6 years ago
- Using very few measurements to predict properties in quantum many-body systems.☆205Updated 2 years ago
- An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems☆35Updated 2 years ago
- ☆27Updated 2 years ago