sksteinke / schroedinger-deeplearning
A simple neural network solver for the 1-D Schrödinger equation.
☆43Updated 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
- Assortment of code for model systems in computational physics. github.com/rajeshrinet/compPhy☆75Updated 2 years ago
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 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
- Tutorial on machine learning many-body physics with Boltzmann machines☆15Updated 7 years ago
- Neural Network Many-Body Wavefunction Reconstruction☆174Updated 3 weeks ago
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆193Updated 4 years ago
- physics meets neural networks☆98Updated 6 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- Code used for experiments in https://arxiv.org/abs/2008.08601☆19Updated 3 years ago
- A path-integral quantum Monte Carlo code for simulating quantum annealing with arbitrary Ising Hamiltonians.☆46Updated 7 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆50Updated 3 years ago
- Lecture notes transcribed from course (Youtube videos) given by by Dr. Tobias Osborne.☆114Updated 3 years ago
- Numerical simulation of the Sachdev-Ye-Kitaev fermion model☆17Updated 5 years ago
- Monte Carlo simulation on 2D XY-model☆24Updated 5 years ago
- Numerically represent quantum states with Restricted Boltzmann Machines☆25Updated 6 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆37Updated 4 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆92Updated 8 months ago
- Neural-network quantum state reconstruction (Qubits/Spin-1/2)☆12Updated 6 years ago
- Code repository for the paper "Constraining Effective Field Theories with Machine Learning"☆21Updated 5 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- Massively Parallel Trotter-Suzuki Solver☆35Updated 4 years ago
- ☆25Updated 5 years ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆77Updated 10 months ago
- A series of self-study lectures on using Python for scientific computing at the graduate level in atomic physics and quantum optics.☆95Updated 10 years ago
- Jupyter Notebooks that demonstrate SymPy's symbolic quantum mechanics package.☆64Updated 3 years ago
- Computational Physics☆150Updated 3 years ago
- Ipython notebooks for our QM class based on Mark Beck's book "Quantum Mechanics: Theory and Experiment"☆38Updated 3 years ago
- QuantumFlow: A Quantum Algorithms Development Toolkit☆59Updated 8 months ago