royforestano / 2023_gsoc_ml4sci_qmlhep_gnnLinks
Google Summer of Code (GSOC) Machine Learning for Science (ML4SCI) Quantum Machine Learning for High Energy Physics (HEP)
☆11Updated last year
Alternatives and similar repositories for 2023_gsoc_ml4sci_qmlhep_gnn
Users that are interested in 2023_gsoc_ml4sci_qmlhep_gnn are comparing it to the libraries listed below
Sorting:
- Our LLM for Rydberg atom physics☆35Updated last year
- The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics…☆40Updated last month
- A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.☆124Updated 6 months ago
- Examples for running TeNPy☆15Updated 9 months ago
- ☆44Updated 2 years ago
- ADAPT-VQE simulation code☆26Updated 9 months ago
- Quantum computational chemistry based on TensorCircuit☆64Updated 2 weeks ago
- Unfolding with quantum computing.☆15Updated 2 years ago
- A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/…☆28Updated 4 years ago
- Tutorial notebooks and example scripts made with Tangelo. Any Tangelo user can suggest content and showcase their work, either by pushin…☆24Updated 2 months ago
- Code for implementing and experimenting with quantum algorithms☆72Updated last year
- qLEET is an open-source library for exploring Loss landscape, Expressibility, Entangling capability, and Training trajectories of noisy p…☆33Updated 2 years ago
- A module for simulating chemical and physical systems using a Variational Quantum Eigensolver (VQE) enhanced by Entanglement Forging.☆33Updated last year
- QuTiP Tutorials☆56Updated last month
- MNISQ circuit dataset for machine learning and quantum machine learning☆29Updated last year
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆78Updated last year
- A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum a…☆63Updated 3 years ago
- ☆53Updated 10 months ago
- Code for predicting ground state properties using new ML model.☆11Updated last year
- ☆16Updated last year
- Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.☆65Updated last week
- ORCA's QUBO solver running on a simulated PT-Series☆14Updated 3 years ago
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆35Updated 4 years ago
- Jupyter notebooks for a tutorial/computational part of mini-series on "Foundations of Theoretical and Computational Open Quantum Systems"…☆17Updated 4 years ago
- MLQD is a Python Package for Machine Learning-based Quantum Dissipative Dynamics☆15Updated 10 months ago
- ☆56Updated 7 months ago
- QDataSet: Quantum Datasets for Machine Learning☆115Updated 3 years ago
- Search with Quantum Singular Value Transformation in Qiskit☆52Updated 3 years ago
- A python module and example scripts to perform molecular simulationts with the variational quantum eigensolver (VQE)☆27Updated 2 years ago
- Package for using Matrix Product States (MPS) to simulate quantum circuits.☆17Updated 5 years ago