The objective of this research is to investigate to what extent a classical intelligent agent can decipher the quantum nature of a many-body quantum system from its surrounding environmental noises.

A fast stabilizer circuit library.

Berkeley Quantum Synthesis Toolkit

Machine Learning Renormalization Group

An Open-source Framework for Autonomous Language Agents

A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)

GPT4All: Chat with Local LLMs on Any Device

An intuitive programming package for simulating and analyzing Clifford circuits, quantum measurement, and stabilizer states with applications to many-body localization, classical shadows, quantum c…

This is the documents and tutorials of PyClifford simulator

Mathematica Packages for Physicists

This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-19 semester. For more information, see the course page at

A library for easy and efficient manipulation of tensor networks.

PyTorch toolbox for matrix product state models

draw the Wythoff construction of uniform tilings in hyperbolic plane

Mathematica Packages for Physicists

Differentiable Programming Tensor Networks

An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.

Hopfield Networks is All You Need

This is a toy model of RNVP flow model, where the neural network is implemented as a fully connected resnet.

Tensor network contraction function for Python 3.

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.

Python implementation of the DMRG algorithm for the Taipei DMRG Winter School

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

Spectrum Bifurcation RG