Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.
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Updated
Oct 2, 2019 - Python
Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.
Statistical Mechanics on Lattices
Python implementation of the Ising model
Generate 1- and 2-electron integrals so that molecular quantum chemistry software can be used for model Hamiltonians.
Sawatabi is an application framework to develop and run stream-data-oriented Ising applications with quantum annealing.
Monte Carlo simulations of magnetic systems in Python
D-Wave Instance Generator (D-WIG)
Repository for the Software and Computing for Applied Physics Project
Monte Carlo simulation of the Ising Model using the Metropolis Algorithm
Fast Monte Carlo simulation of the Ising model written in Python
Generating samples from Ising model.
Implementations of the Heisenberg model in statistical mechanics, done in Python 2.7.12 (with NumPy, SciPy, and matplotlib).
Utilities for working with bqpjson data
This Project contains code to simulate a Quasi 3D Ising Model in Python using Numpy & Numba.
D-Wave Ising Sample Collector (D-WISC)
Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184
An implementation of loopy belief propagation for binary image denoising. Both sequential and parallel updates are implemented.
A tool for building crystal lattice models with distance-dependent neighbor interactions.
2d Ising Model Montecarlo Simulation using Metropolis Algorithm
Final Project of the course `Introduction of Data Science`
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