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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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