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institution

HyPerComp Engineering (United States)

United States

5 papers here20 citations across 5
fields
  • cs.CV1
  • math.CO1
  • math.NA1
  • physics.flu-dyn1
  • quant-ph1
ROR 058twjz75OpenAlex

affiliations via OpenAlex

output
20212026
most citedNew Governing Equations for Fluid Dynamics

15 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Daniele Dragoni2 · h 4
  • Matteo Vandelli2 · h 3
  • Chaoqun Liu1 · h 40
  • Dale Ota1 · h 1
  • Donggun Kim1 · h 5
  • Dongyoung Choi1 · h 2
  • Francesco Ferrari1 · h 1
  • Francesco Tudisco1 · h 1
  • Hyeonjoong Jang1 · h 6
  • Marco Maronese1 · h 4
  • Matti Malinen1 · h 12
  • Min H. Kim1 · h 2
collaborating institutions
  • Quantum Science and Technology in ArcetriIT2 papers
  • Gran Sasso Science InstituteIT1 paper
  • Hyperion Technologies (Canada)CA1 paper
  • Kootenay Association for Science & TechnologyCA1 paper
  • Korea Advanced Institute of Science and TechnologyKR1 paper
  • Maxwell Institute for Mathematical SciencesGB1 paper
  • The University of Texas at ArlingtonUS1 paper
  • University of DelawareUS1 paper
  • University of Eastern FinlandFI1 paper
  • University of EdinburghGB1 paper
Showing 2025Show all

1 paper · 1 filter

quant-ph2025

High-expressibility Quantum Neural Networks using only classical resources

Marco Maronese, Francesco Ferrari, Matteo Vandelli +1

Quantum neural networks (QNNs), as currently formulated, are near-term quantum machine learning architectures that leverage parameterized quantum circuits with the aim of improving…

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