enchanted123 / quantum-RL-with-quafu
Implement reinforcement learning(RL) based on parameterized quantum circuits with quantum computing cloud Quafu.
☆10Updated last year
Alternatives and similar repositories for quantum-RL-with-quafu
Users that are interested in quantum-RL-with-quafu are comparing it to the libraries listed below
Sorting:
- A Python framework for the quantum autoencoder☆27Updated 6 years ago
- 🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)☆22Updated 6 years ago
- Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"☆33Updated 2 years ago
- Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"☆19Updated last year
- Quantum circuit on top of tensor network. This version is archived, latest open source version release is at https://github.com/tensorcir…☆28Updated 8 months ago
- Code for implementing and experimenting with quantum algorithms☆71Updated last year
- 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
- quantum convolutional neural network - simulations☆107Updated 5 years ago
- Unfolding with quantum computing.☆15Updated 2 years ago
- Quantum state tomography with conditional generative adversarial networks☆35Updated 2 years ago
- ☆18Updated 6 years ago
- The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.☆31Updated last week
- This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.☆43Updated last week
- This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via cla…☆16Updated 4 years ago
- Model-Free Quantum Control with Reinforcement Learning.☆60Updated 2 years ago
- Examples for running TeNPy☆15Updated 7 months ago
- Package for using Matrix Product States (MPS) to simulate quantum circuits.☆17Updated 4 years ago
- ☆42Updated 2 years ago
- ORCA's QUBO solver running on a simulated PT-Series☆14Updated 3 years ago
- Our LLM for Rydberg atom physics☆35Updated 10 months ago
- Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)☆40Updated 4 years ago
- MQT Predictor - A MQT Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing☆66Updated last week
- gradient based training of Quantum Circuit Born Machine☆43Updated 5 years ago
- Decoding Quantum Error Correction codes with Generative Pre-trained Transformers☆35Updated last year
- Quantum Machine Learning using Qibo☆16Updated this week
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆34Updated 4 years ago
- ☆40Updated 3 years ago
- qLEET is an open-source library for exploring Loss landscape, Expressibility, Entangling capability, and Training trajectories of noisy p…☆33Updated 2 years ago
- Extension of Qiskit to support hybrid boson-qubit simulations for the NQI C2QA effort.☆58Updated 2 weeks ago
- A python library to help perform tomography on a quantum state☆33Updated last month