Discover hongyehu/RG-Flow Open Source project

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Python
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MIT License
Created about 4 years ago
Updated over 2 years ago

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This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

PyClifford

An intuitive programming package for simulating and analyzing Clifford circuits, quantum measurement, and stabilizer states with applications to many-body localization, classical shadows, quantum chemistry and error correction code.

Jupyter Notebook

Machine_Learning_Quantum_State_Tomography

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

Python

Hamiltonian-driven-shadow-tomography-page

A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/pdf/2102.10132.pdf)

Science-AI-Reading-Group

Sim-Clifford

A library for Clifford simulation

Python

PyCliffordPages

This is the documents and tutorials of PyClifford simulator

Jupyter Notebook

neuralODE_holographicQCD

Jupyter Notebook

RNVP_toy

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

Python

hongyehu/RG-Flow

hongyehu

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