salcc / QuantumTransformersLinks
Quantum Transformers for High Energy Physics Analysis at the Large Hadron Collider
☆39Updated 2 months ago
Alternatives and similar repositories for QuantumTransformers
Users that are interested in QuantumTransformers are comparing it to the libraries listed below
Sorting:
- The power of quantum neural networks☆53Updated 3 years ago
- ☆34Updated 4 months ago
- Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"☆33Updated 2 years ago
- Example of a Quantum LSTM☆98Updated 3 years ago
- Quantum-enhanced transformer neural network☆119Updated 2 years ago
- This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of …☆49Updated 4 years ago
- A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.☆79Updated last year
- Code to benchmark quantum machine learning models☆62Updated last month
- QDataSet: Quantum Datasets for Machine Learning☆112Updated 3 years ago
- Code for implementing and experimenting with quantum algorithms☆72Updated last year
- A Python framework for the quantum autoencoder☆27Updated 6 years ago
- Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit☆79Updated 4 years ago
- Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.☆64Updated 4 years ago
- Our LLM for Rydberg atom physics☆35Updated 11 months ago
- ☆42Updated 3 years ago
- Multi-backend SDK for quantum optimisation☆131Updated 10 months ago
- Library for solving quantum computing problems using machine learning☆42Updated 7 months ago
- Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)☆41Updated 4 years ago
- Quantum error correction code AI-discovery with Jax☆39Updated last month
- ☆95Updated last month
- Generative Quantum Circuits☆38Updated last week
- MNISQ circuit dataset for machine learning and quantum machine learning☆29Updated last year
- This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.☆43Updated last month
- Learn Quantum Machine Learning☆70Updated 9 months ago
- The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.☆116Updated this week
- The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.☆31Updated last month
- Code repository for the preprint "Quixer: A Quantum Transformer Model"☆28Updated last week
- Code for Kolmogorov-Arnold Network for Quantum Architecture Search i.e., KANQAS☆15Updated 5 months ago
- A step-by-step tutorial of QuantumFlow, using the MNIST sub-dataset {3,6} and the 16-2-2 neural network as an example.☆58Updated 2 years ago
- quantum convolutional neural network - simulations☆109Updated 5 years ago