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J. Reyes

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech1
  • cs.DC1
  • quant-ph1
  • stat.ML1
same name
  • J. Reyes — 7 papers, h 16
  • J. Reyes — 4 papers
  • J. Reyes — 3 papers, h 6
  • J. Reyes — 2 papers, h 14
  • J. Reyes — 1 paper, h 12
  • J. Reyes — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedA Multi-Scale Tensor Network Architecture for Classification and Regression

7 citations · 7 across the 2 of their papers we have counts for

collaborators

4 papers

quant-ph2021

Machine Learning Regression for Operator Dynamics

Justin Reyes, Sayandip Dhara, Eduardo R. Mucciolo

Determining the dynamics of the expectation values for operators acting on a quantum many-body (QMB) system is a challenging task. Matrix product states (MPS) have traditionally be…

stat.ML2020★ 7 cited

A Multi-Scale Tensor Network Architecture for Classification and Regression

Justin Reyes, Miles Stoudenmire

We present an algorithm for supervised learning using tensor networks, employing a step of preprocessing the data by coarse-graining through a sequence of wavelet transformations.…

cond-mat.stat-mech2020

Nonuniversal Entanglement Level Statistics in Projection-driven Quantum Circuits

Lei Zhang, Justin A. Reyes, Stefanos Kourtis +3

We study the level-spacing statistics in the entanglement spectrum of output states of random universal quantum circuits where qubits are subject to a finite probability of project…

cs.DC2019

Simulation of Quantum Many-Body Systems on Amazon Cloud

Justin A. Reyes, Eduardo R. Mucciolo, Dan Marinescu

Quantum many-body systems (QMBs) are some of the most challenging physical systems to simulate numerically. Methods involving approximations for tensor network (TN) contractions ha…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.