renormalization-group

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

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

A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.

Implementation of the GILT + HOTRG and calculating scaling dimensions through the linearized RG equation of the GILT + HOTRG.

PyR@TE 3

Official implementation of spectrum bifurcation renormalization group(SBRG), which is suitable for quantum simulation on strong disordered systems for 1D and 2D. Paper: arXiv:2008.02285[https://arxiv.org/abs/2008.02285], Phys. Rev. B 93, 104205 (2016)[https://arxiv.org/abs/1508.03635]

A Tensor Network package for Machine Learning and Quantum Computing in Python.

Using simple TRG code to benchmark different tensor implements.

Discreteness as the Late-Time Limit of a Smooth Flow

TeNeT is a tensor-network renormalization code for the statistical mechanics of lattice models. The main application is adsorption of molecules on surfaces.

Renormalization for the break-up of invariant tori in Hamiltonian flows

Superconducting Spectral Attention: Zero-Shot 1-to-5 Hop Long-Context Extrapolation & Renormalization Group Relays for Hybrid Transformers (Gemma-4 2B & 4B)

Code for RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior.

This repository implements a high-performance Inverse Renormalization Group (IRG) framework using Convolutional Neural Networks (CNN).

This repository contains a speculative research note in theoretical physics, the toy models built to probe it, and, importantly, the experiments that failed. Nothing here claims to be a theory of quantum gravity. What you will find is a research process, documented honestly enough that someone else can pick it up, including its dead ends.

Big Bang as UV fixed point of quantum gravity. 0/0 framework for Millennium Problems. Flat Higgs potential at FP encodes mass. Matter shifts FP to AdS. Falsifiable: 2 relevant directions. Certified line: 87-check soliton ECA suite + Lean 4 twin proofs (mathlib); seven Millennium problems declared NOT SETTLED.

Floquet real-time renormalization group implemention in python for the single channel Kondo model

Neural operators mapping QFT actions to boundary correlators in Euclidean AdS2, with live WebGPU surfaces and browser-side inference

QIC-S Theory Ver 1.6: Numerical codebase (partially retracted, see ERRATUM). DOI: 10.17605/OSF.IO/KB75P

Pipeline Consisting of LSTM + Variational and Transformer Based Autoencoders + PCA/UMAP (Parameterized and Non-Parameterized) For Generating Low-Dim Manifold Representation of V1 Neural Activity