◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Daniel J. Gauthier

4 papers hereh-index 232 citations4 works total

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

author position
  • first author1
  • last author3

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

fields
  • quant-ph2
  • cs.LG1
  • nlin.CD1
same name
  • Daniel J. Gauthier — 3 papers, h 8
  • Daniel J. Gauthier — 3 papers, h 3
  • Daniel J. Gauthier — 2 papers
  • Daniel J. Gauthier — 2 papers, h 1
  • Daniel J. Gauthier — 2 papers, h 1

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

most citedControlling Chaos Using Edge Computing Hardware

31 citations · 34 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2025★ 2 cited

Superconducting Qubit Readout Using Next-Generation Reservoir Computing

Robert Kent, Benjamin Lienhard, Gregory Lafyatis +1

Quantum processors require rapid and high-fidelity simultaneous measurements of many qubits. While superconducting qubits are among the leading modalities toward a useful quantum p…

quant-ph2025★ 1 cited

Efficient measurement of neutral-atom qubits with matched filters

Robert M. Kent, Linipun Phuttitarn, Chaithanya Naik Mude +4

Quantum computers require high-fidelity measurement of many qubits to achieve a quantum advantage. Traditional approaches suffer from readout crosstalk for a neutral-atom quantum p…

nlin.CD2025

Locality Blended Next Generation Reservoir Computing For Attention Accuracy

Daniel J. Gauthier, Andrew Pomerance, Erik Bollt

We extend an advanced variation of a machine learning algorithm, next-generation reservoir Computing (NGRC), to forecast the dynamics of the Ikeda map of a chaotic laser. The machi…

cs.LG2024★ 31 cited

Controlling Chaos Using Edge Computing Hardware

Robert M. Kent, Wendson A. S. Barbosa, Daniel J. Gauthier

Machine learning provides a data-driven approach for creating a digital twin of a system - a digital model used to predict the system behavior. Having an accurate digital twin can…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.