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Quantum Machine Learning

Simultaneous Quantum Machine Learning Training and Architecture Discovery

arXiv
Authors: Dominic Pasquali

Year

2020

Paper ID

20731

Status

Preprint

Abstract Read

~2 min

Abstract Words

65

Citations

N/A

Abstract

With the onset of gated quantum machine learning, the architecture for such a system is an open question. Many architectures are created either ad hoc or are directly analogous from known classical architectures. Presented here is a novel algorithm which learns a gated quantum machine learning architecture while simultaneously learning its parameters. This proof of concept and some of its variations are explored and discussed.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2020 reference point for readers tracking recent quantum research.
  • With the onset of gated quantum machine learning, the architecture for such a system is an open question.

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