sksteinke / schroedinger-deeplearningLinks
A simple neural network solver for the 1-D Schrödinger equation.
☆44Updated 8 years ago
Alternatives and similar repositories for schroedinger-deeplearning
Users that are interested in schroedinger-deeplearning are comparing it to the libraries listed below
Sorting:
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆203Updated 4 years ago
- Neural Network Many-Body Wavefunction Reconstruction☆176Updated 3 weeks ago
- ☆174Updated 2 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆72Updated 6 years ago
- Tutorials for a mini course in machine learning and quantum physics☆42Updated 6 years ago
- Computational Physics☆155Updated 3 years ago
- physics meets neural networks☆103Updated 7 years ago
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 6 years ago
- Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Phys…☆61Updated 8 years ago
- QuantumFlow: A Quantum Algorithms Development Toolkit☆98Updated 6 years ago
- Quantum Machine Learning Reading Group @ ICFO☆133Updated 6 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆80Updated 6 years ago
- Code repository for the paper "Constraining Effective Field Theories with Machine Learning"☆21Updated 6 years ago
- QuTiP web pages☆14Updated 2 months ago
- Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…☆163Updated 6 years ago
- PyTorch toolbox for matrix product state models☆164Updated last year
- This repo is to contain material from the University of Toronto Quantum Machine Learning Course by Prof. Peter Wittek on edX☆85Updated 6 years ago
- A path-integral quantum Monte Carlo code for simulating quantum annealing with arbitrary Ising Hamiltonians.☆49Updated 8 years ago
- Quantum-inspired algorithms for linear algebra applications. The repository contains all source code used to generate results presented i…☆107Updated 5 years ago
- The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum ci…☆114Updated 5 years ago
- Lectures on QuTiP: slides and ipython notebooks☆337Updated 2 years ago
- QuantumFlow: A Quantum Algorithms Development Toolkit☆61Updated 3 weeks ago
- Assortment of code for model systems in computational physics. github.com/rajeshrinet/compPhy☆78Updated 3 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆98Updated 7 months ago
- "Computational modeling and visualization" resource repository☆31Updated 2 years ago
- Numerical simulation of the Sachdev-Ye-Kitaev fermion model☆19Updated 6 years ago
- "Deep Learning and Quantum Programming" Spring School @ Song Shan Lake☆178Updated 5 years ago
- Reconstructing quantum states with generative models☆52Updated 6 years ago
- A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.☆251Updated 2 years ago
- Lecture notes transcribed from course (Youtube videos) given by by Dr. Tobias Osborne.☆118Updated 4 years ago