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Wolfgang Mauerer

21 papers hereh-index 10686 citations26 works total

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

author position
  • middle author3
  • last author18

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • quant-ph17
  • cs.AR2
  • cs.ET2
same name
  • Wolfgang Mauerer — 15 papers, h 8
  • Wolfgang Mauerer — 11 papers, h 3
  • Wolfgang Mauerer — 9 papers, h 8
  • Wolfgang Mauerer — 8 papers, h 8
  • Wolfgang Mauerer — 5 papers, h 4
  • Wolfgang Mauerer — 3 papers, h 3

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

activity
20202026
most citedNeutral Atom Quantum Computing Hardware: Performance and End-User Perspective

113 citations · 180 across the 20 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

quant-ph2026

Know Your Qubits, Know Your Users: Personas for Quantum Software

Lukas Schmidbauer, Joshua Ammermann, Laura Schulz +5

The advancement of quantum hardware and the intricacies of quantum computing make well-designed quantum software increasingly necessary. Due to the interdisciplinarity of the field…

quant-ph2026

Generative AI Beyond Tokens: Quantum Resource Consumption of IQP Circuits

Tom Krüger, Wolfgang Mauerer

Quantum generative modelling casts sampling as a generative task: a parametrised quantum circuit is trained such that sampling reproduces a target probability distribution. Instant…

cs.AR2026

A Reality Check on Quantum Optimisation: Evidence from an Industrial Case Study

Hila Safi, Karen Wintersperger, Oliver von Sicard +2

Quantum Processing Units promise speed-ups for selected computational problems, including combinatorial optimisation, but their industrial utility remains an open challenge. We stu…

quant-ph2026

Beyond Gates: Pulse Level Quantum Fourier Models

Melvin Strobl, Maja Franz, Lukas Scheller +3

In the domain of variational quantum algorithms, quantum Fourier models (QFMs) provide a mathematically well defined structure for quantum machine learning (QML). There has been a…

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