Experimental quantum learning of a spectral decomposition
Currently available quantum hardware allows for small-scale implementations of quantum machine learning algorithms. Such experiments aid the search for applications of quantum computers by benchmarking the near-term feasibility of candidate algorithms. Here we demonstrate the quantum learning of a t...
Main Authors: | Michael R. Geller, Zoë Holmes, Patrick J. Coles, Andrew Sornborger |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2021-08-01
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Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.3.033200 |
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