Hong-Ye Hu
Hong-Ye Hu
RG-Flow
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
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)
Machine_Learning_Quantum_State_Tomography
An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
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 chem...