Information-Theoretic Bounds on Quantum Advantage in Machine Learning
Author:
Funder
U.S. Department of Energy
National Science Foundation
J. Yang & Family Foundation
Publisher
American Physical Society (APS)
Subject
General Physics and Astronomy
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevLett.126.190505/fulltext
Reference36 articles.
1. Quantum machine learning
2. Supervised learning with quantum-enhanced feature spaces
3. Quantum Machine Learning in Feature Hilbert Spaces
4. Quantum-inspired algorithms in practice
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