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Variational Hybrid Quantum Algorithms Quantum Machine Learning Quantum Optimization

Calibrating the Classical Hardness of the Quantum Approximate Optimization Algorithm

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Authors: Maxime Dupont, Nicolas Didier, Mark J. Hodson, Joel E. Moore, Matthew J. Reagor

Year

2022

Paper ID

11879

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

0

Citations

13

Abstract

No abstract available.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2022 reference point for readers tracking recent quantum research.

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References & Citation Signals

[1] DOI https://doi.org/10.1103/prxquantum.3.040339 [2] Publisher https://doi.org/10.1103/prxquantum.3.040339

Local Citation Graph (Related-Paper Links)

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External citation index: OpenAlex citation signal • updated 2026-06-19 16:40:53

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