◍wovepaper
SearchResearchersInstitutions
Sign in
institution

Quantified Uncertainty Research Institute

United States

2 papers here1 citations across 2
fields
  • quant-ph1
  • stat.ML1
ROR 017mdtk85OpenAlex

affiliations via OpenAlex

most citedEfficient Online Quantum Circuit Learning with No Upfront Training

1 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.

  • Andrew T. Sornborger1 · h 2
  • D. Lugato1 · h 11
  • Elijah Pelofske1 · h 18
  • Gaël Poëtte1
  • Lukasz Cincio1 · h 4
  • Michael McKerns1 · h 2
  • Paul Novello1 · h 5
  • P. Congedo1 · h 24
  • Piotr Czarnik1 · h 21
  • Thomas O'Leary1 · h 2
collaborating institutions
  • CEA CESTAFR1 paper
  • Jagiellonian UniversityPL1 paper
  • Los Alamos National LaboratoryUS1 paper
  • Quantum Science CenterUS1 paper
  • University of OxfordGB1 paper

2 papers

quant-ph2025★ 1 cited

Efficient Online Quantum Circuit Learning with No Upfront Training

Tom O'Leary, Piotr Czarnik, Elijah Pelofske +3

We propose a surrogate-based method for optimizing parameterized quantum circuits which is designed to operate with few calls to a quantum computer. We employ a computationally ine…

stat.ML2022

Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning

Paul Novello, Gaël Poëtte, David Lugato +1

Tackling new machine learning problems with neural networks always means optimizing numerous hyperparameters that define their structure and strongly impact their performances. In…

◍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.