FlorianMarquardt / advanced_machine_learningLinks
Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"
☆54Updated 9 months ago
Alternatives and similar repositories for advanced_machine_learning
Users that are interested in advanced_machine_learning are comparing it to the libraries listed below
Sorting:
- The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics…☆40Updated 7 months ago
- Repository for figures and tex files of the book "Modern applications of machine learning in quantum sciences"☆21Updated 7 months ago
- This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-20 semest…☆18Updated 3 months ago
- ☆42Updated 2 years ago
- The book: Practice exams in Quantum Computing for graduate students.☆22Updated 3 years ago
- Official Repository for Machine Learning class - Physics Without Frontiers 2021☆41Updated 2 years ago
- Coding exercises for UPC QML course☆15Updated 4 years ago
- ORCA's QUBO solver running on a simulated PT-Series☆14Updated 3 years ago
- Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"☆33Updated 2 years ago
- Meta-VQE data and examples repository☆11Updated 4 years ago
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆34Updated 4 years ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆78Updated last year
- Our LLM for Rydberg atom physics☆35Updated 11 months ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆50Updated 3 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- TensorFlow linear-algebra backend for QuTiP☆16Updated last year
- QuGIT is a numerical toolbox in Python for simulation of gaussian quantum states and their time evolution through unconditional and condi…☆25Updated 3 years ago
- 🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)☆23Updated 6 years ago
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 5 years ago
- Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks☆39Updated 5 years ago
- Code containing notes for the derivation of mapping a Hubbard system to a quantum computing environment and an example of time evolution …☆14Updated 3 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- Examples for running TeNPy☆15Updated 8 months ago
- Experiements on how conditional mutual information affects the performance of neural quantum states.☆13Updated 7 months ago
- ☆23Updated 3 years ago
- Simulating quantum circuits with JAX☆66Updated 3 months 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
- ☆11Updated 3 years ago
- Code for predicting ground states and classifying phases of matter☆32Updated 2 years ago
- Tutorials for a mini course in machine learning and quantum physics☆41Updated 6 years ago