Tackling Sampling Noise in Physical Systems for Machine Learning Applications: Fundamental Limits and Eigentasks
The expressive capacity of physical systems employed for learning is limited by the unavoidable presence of noise in their extracted outputs. Though present in physical systems across both the classical and quantum regimes, the precise impact of noise on learning remains poorly understood. Focusing...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2023-10-01
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Series: | Physical Review X |
Online Access: | http://doi.org/10.1103/PhysRevX.13.041020 |