activity
20232025
most citedNon-parametric learning critical behavior in Ising partition functions: PCA entropy and intrinsic dimension

11 citations · 21 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2025

Basis dependence of Neural Quantum States for the Transverse Field Ising Model

Ronald Santiago Cortes, Aravindh S. Shankar, Marcello Dalmonte +2

Neural Quantum States (NQS) are powerful tools used to represent complex quantum many-body states in an increasingly wide range of applications. However, despite their popularity,…

quant-ph2025

Network theory classification of quantum matter based on wave function snapshots

Riccardo Andreoni, Vittorio Vitale, Cristiano Muzzi +3

Quantum computers and simulators offer unparalleled capabilities of probing quantum many-body states, by obtaining snapshots of the many-body wave function via collective projectiv…

cond-mat.quant-gas2025

Anomalously fast transport in non-integrable lattice gauge theories

Devendra Singh Bhakuni, Roberto Verdel, Jean-Yves Desaules +3

Kinetic constraints are generally expected to slow down dynamics in many-body systems, obstructing or even completely suppressing transport of conserved charges. Here, we show how…

cond-mat.stat-mech2025★ 1 cited

Family-Vicsek universality of the binary intrinsic dimension of nonequilibrium data

Roberto Verdel, Devendra Singh Bhakuni, Santiago Acevedo

The intrinsic dimension (ID) is a powerful tool to detect and quantify correlations from data. Recently, it has been successfully applied to study statistical and many-body systems…

cond-mat.dis-nn2024★ 2 cited

Diagnosing quantum transport from wave function snapshots

Devendra Singh Bhakuni, Roberto Verdel, Cristiano Muzzi +3

We study nonequilibrium quantum dynamics of spin chains by employing principal component analysis (PCA) on data sets of wave function snapshots and examine how information propagat…

cond-mat.stat-mech2024★ 7 cited

Principal component analysis of absorbing state phase transitions

Cristiano Muzzi, Ronald Santiago Cortes, Devendra Singh Bhakuni +4

We perform a principal component analysis (PCA) of two one-dimensional lattice models belonging to distinct nonequilibrium universality classes - directed bond percolation and bran…

cond-mat.stat-mech2023★ 11 cited

Non-parametric learning critical behavior in Ising partition functions: PCA entropy and intrinsic dimension

Rajat K. Panda, Roberto Verdel, Alex Rodriguez +3

We provide and critically analyze a framework to learn critical behavior in classical partition functions through the application of non-parametric methods to data sets of thermal…