arXiv AI By Junqi Wang, Junyu Liu

Representation Learning with Quantum Signal Processing

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Is data-efficient learning feasible with quantum models?

arXiv:2508. 19437v2 Announce Type: replace-cross Abstract: The importance of analyzing nontrivial datasets when testing quantum machine learning (QML) models is becoming increasingly prominent in literature, yet a cohesive framework for understanding dataset characteristics remains elusive.

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Quantum Gaussian processes for prediction of channel observations

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