sksteinke / schroedinger-deeplearning
A simple neural network solver for the 1-D Schrödinger equation.
☆44Updated 7 years ago
Alternatives and similar repositories for schroedinger-deeplearning:
Users that are interested in schroedinger-deeplearning are comparing it to the libraries listed below
- Tutorials for a mini course in machine learning and quantum physics☆41Updated 5 years ago
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆194Updated 4 years ago
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 5 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- A path-integral quantum Monte Carlo code for simulating quantum annealing with arbitrary Ising Hamiltonians.☆46Updated 8 years ago
- Test and demo notebooks for the sympy.physics.quantum☆36Updated 10 years ago
- ☆25Updated 5 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 5 years ago
- Numerical simulation of the Sachdev-Ye-Kitaev fermion model☆18Updated 5 years ago
- Announcements and nodes for my 2018 course in Computational Physics☆57Updated 6 years ago
- physics meets neural networks☆98Updated 6 years ago
- Numerically represent quantum states with Restricted Boltzmann Machines☆25Updated 6 years ago
- QuantumFlow: A Quantum Algorithms Development Toolkit☆59Updated 9 months ago
- Code repository for the paper "Constraining Effective Field Theories with Machine Learning"☆21Updated 5 years ago
- Tutorial on machine learning many-body physics with Boltzmann machines☆15Updated 7 years ago
- Jupyter Notebooks that demonstrate SymPy's symbolic quantum mechanics package.☆64Updated 3 years ago
- Assortment of code for model systems in computational physics. github.com/rajeshrinet/compPhy☆75Updated 2 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆50Updated 3 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆37Updated 4 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- ☆16Updated last year
- Code used for experiments in https://arxiv.org/abs/2008.08601☆19Updated 3 years ago
- Monte Carlo simulation on 2D XY-model☆25Updated 5 years ago
- Lecture notes transcribed from course (Youtube videos) given by by Dr. Tobias Osborne.☆115Updated 3 years ago
- Tutorials for the lecture "Computational Methods in Many-Body Physics"☆69Updated 5 years ago
- QuantumFlow: A Quantum Algorithms Development Toolkit☆96Updated 5 years ago
- PhysicsML Blog☆28Updated 3 years ago
- ☆14Updated 6 years ago
- A survey of computational physics problems in Python. Includes quantum mechanics, electrostatics, ODEs, PDEs, Monte Carlo, Fourier analy…☆60Updated 9 years ago
- Massively Parallel Trotter-Suzuki Solver☆35Updated 4 years ago