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