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M. Schuetz

37 papers hereh-index 171.2k citations43 works total

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

author position
  • first author14
  • middle author21
  • last author1

Across the 36 of 37 papers where every author was matched, so the position is known.

fields
  • quant-ph17
  • cond-mat.mes-hall5
  • cs.LG5
  • math.OC4
  • cond-mat.str-el2
  • cs.AI2
same name
  • M. Schuetz — 2 papers, h 2
  • M. Schuetz — 1 paper, h 11
  • M. Schuetz — 1 paper, h 35

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
20102026
most citedCombinatorial Optimization with Physics-Inspired Graph Neural Networks

208 citations · 968 across the 37 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

quant-ph2022★ 18 cited

End-to-end resource analysis for quantum interior point methods and portfolio optimization

Alexander M. Dalzell, B. David Clader, Grant Salton +8

We study quantum interior point methods (QIPMs) for second-order cone programming (SOCP), guided by the example use case of portfolio optimization (PO). We provide a complete quant…

quant-ph2022★ 1 cited

Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms

Martin J. A. Schuetz, J. Kyle Brubaker, Henry Montagu +6

We solve robot trajectory planning problems at industry-relevant scales. Our end-to-end solution integrates highly versatile random-key algorithms with model stacking and ensemble…

cs.LG2022★ 41 cited

Graph Coloring with Physics-Inspired Graph Neural Networks

Martin J. A. Schuetz, J. Kyle Brubaker, Zhihuai Zhu +1

We show how graph neural networks can be used to solve the canonical graph coloring problem. We frame graph coloring as a multi-class node classification problem and utilize an uns…

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