Interpretable Quantum Advantage in Neural Sequence Learning
Quantum neural networks have been widely studied in recent years, given their potential practical utility and recent results regarding their ability to efficiently express certain classical data. However, analytic results to date rely on assumptions and arguments from complexity theory. Because of t...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2023-06-01
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Series: | PRX Quantum |
Online Access: | http://doi.org/10.1103/PRXQuantum.4.020338 |