Geometric quantum machine learning with horizontal quantum gates

In the current framework of geometric quantum machine learning, the canonical method for constructing a variational ansatz that respects the symmetry of some group action is by forcing the circuit to be equivariant, i.e., to commute with the action of the group. This can, however, be an overzealous...

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Bibliographic Details
Main Authors: Roeland Wiersema, Alexander F. Kemper, Bojko N. Bakalov, Nathan Killoran
Format: Article
Language:English
Published: American Physical Society 2025-02-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.7.013148
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