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Georg Hahn

36 papers hereh-index 15745 citations62 works total

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

author position
  • sole author2
  • first author2
  • middle author24
  • last author7

Across the 35 of 36 papers where every author was matched, so the position is known.

fields
  • quant-ph23
  • stat.ME4
  • math.ST2
  • physics.comp-ph2
  • cs.ET1
  • cs.NE1
same name
  • Georg Hahn — 3 papers, h 2
  • Georg Hahn — 3 papers, h 1
  • Georg Hahn — 2 papers, h 0
  • Georg Hahn — 1 paper, h 2
  • Georg Hahn — 1 paper, h 1

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
20122026
most citedParallel Quantum Annealing

54 citations · 395 across the 33 of their papers we have counts for

collaborators
Showing 2019 · quant-phShow all

4 papers · 2 filters

quant-ph2019★ 3 cited

Peering into the Anneal Process of a Quantum Annealer

Elijah Pelofske, Georg Hahn, Hristo Djidjev

Commercial adiabatic quantum annealers have the potential to solve important NP-hard optimization problems efficiently. The newest generation of those machines additionally allows…

quant-ph2019★ 26 cited

Optimizing the spin reversal transform on the D-Wave 2000Q

Elijah Pelofske, Georg Hahn, Hristo Djidjev

Commercial quantum annealers from D-Wave Systems make it possible to obtain approximate solutions of high quality for certain NP-hard problems in nearly constant time. Before solvi…

quant-ph2019★ 32 cited

Solving large Minimum Vertex Cover problems on a quantum annealer

Elijah Pelofske, Georg Hahn, Hristo N. Djidjev

We consider the minimum vertex cover problem having applications in e.g. biochemistry and network security. Quantum annealers can find the optimum solution of such NP-hard problems…

quant-ph2019★ 39 cited

Solving large Maximum Clique problems on a quantum annealer

Elijah Pelofske, Georg Hahn, Hristo N. Djidjev

Commercial quantum annealers from D-Wave Systems can find high quality solutions of quadratic unconstrained binary optimization problems that can be embedded onto its hardware. How…

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