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...

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Bibliographic Details
Main Authors: Eric R. Anschuetz, Hong-Ye Hu, Jin-Long Huang, Xun Gao
Format: Article
Language:English
Published: American Physical Society 2023-06-01
Series:PRX Quantum
Online Access:http://doi.org/10.1103/PRXQuantum.4.020338