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IonQ (United States)

United States

9 papers here15 citations across 9
fields
  • quant-ph7
  • cond-mat.mtrl-sci1
  • cs.LG1
ROR 02ft1jb97OpenAlex

affiliations via OpenAlex

works on
quantum machine learning 1satellite imagery 1semantic segmentation 1u-net 1wildfire detection 1

From the 1 of 9 papers with an AI index.

most citedQuantum error correction for long chains of trapped ions

6 citations

researchers with a paper here
  • Alexander K. Ratcliffe3 · h 5
  • C. Viteri3 · h 3
  • Haonan Liu3 · h 3
  • Varun D. Vaidya3 · h 3
  • Claudio Girotto2 · h 4
  • Isabelle Savill-Brown2 · h 2
  • J. J. Hope2 · h 3
  • S. Haine2 · h 25
  • Z. Mehdi2 · h 6
  • A. Arrasmith1 · h 19
  • Aharon Brodutch1 · h 20
  • Aidan Chu1 · h 0
collaborating institutions
  • Australian National UniversityAU2 papers
  • University of Maryland, College ParkUS2 papers
  • Agency for Science, Technology and ResearchSG1 paper
  • Argonne National LaboratoryUS1 paper
  • California Institute of TechnologyUS1 paper
  • Harvard UniversityUS1 paper
  • Harvard University PressUS1 paper
  • Institute of Materials Research and EngineeringSG1 paper
  • John F. Kennedy UniversityUS1 paper
  • Korea Institute of Science and TechnologyKR1 paper
  • Korea Institute of Science & Technology InformationKR1 paper
  • Korea University of Science and TechnologyKR1 paper
Showing cond-mat.mtrl-sciShow all

1 paper · 1 filter

cond-mat.mtrl-sci2026★ 1 cited

Quantum Kernel Machine Learning for Autonomous Materials Science

Felix Adams, Daiwei Zhu, David W. Steuerman +2

Autonomous materials science, where active learning is used to navigate large compositional phase space, has emerged as a powerful vehicle to rapidly explore new materials. A cruci…

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