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Initial Teaching Alphabet Foundation

United States

14 papers here464 citations across 14
fields
  • quant-ph8
  • cond-mat.str-el2
  • physics.comp-ph2
  • astro-ph.CO1
  • math.AT1
ROR 01j5zmq23OpenAlex

affiliations via OpenAlex

output
20202022
most citedDynamics of Transmon Ionization

96 citations

researchers with a paper here
  • G. Vidal8 · h 62
  • J. Beall6 · h 8
  • M. Ganahl6 · h 20
  • Adam G. M. Lewis5 · h 9
  • M. Hauru5 · h 12
  • Yijian Zou3 · h 13
  • Shrestha Basu Mallick2 · h 6
  • A. Blais1 · h 69
  • Adam R. Brown1 · h 24
  • A. Li1 · h 15
  • A. Milsted1 · h 19
  • A. Morningstar1 · h 13
collaborating institutions
  • Google (United States)US6 papers
  • Stanford UniversityUS4 papers
  • University of WaterlooCA3 papers
  • California Institute of TechnologyUS2 papers
  • Fermi National Accelerator LaboratoryUS2 papers
  • Perimeter InstituteCA2 papers
  • Princeton UniversityUS2 papers
  • SandboxAQ2 papers
  • Turing InstituteGB2 papers
  • Alphabet (United States)US1 paper
  • Amazon (United States)US1 paper
  • Brandeis UniversityUS1 paper
Showing physics.comp-phShow all

2 papers · 1 filter

physics.comp-ph2022★ 30 cited

Large scale quantum chemistry with Tensor Processing Units

Ryan Pederson, John Kozlowski, Ruyi Song +8

We demonstrate the use of Google's cloud-based Tensor Processing Units (TPUs) to accelerate and scale up conventional (cubic-scaling) density functional theory (DFT) calculations.…

physics.comp-ph2021★ 20 cited

Large Scale Distributed Linear Algebra With Tensor Processing Units

Adam G. M. Lewis, Jackson Beall, Martin Ganahl +3

We have repurposed Google Tensor Processing Units (TPUs), application-specific chips developed for machine learning, into large-scale dense linear algebra supercomputers. The TPUs'…

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