A Quantum/Classical Example Oracle Separation for Making Things Up

Abstract:We study the power of quantum examples, as compared to classical examples, in the PAC learning framework. Here, we have two learning algorithms, both with access to quantum computation, but one gets quantum examples, whereas the other gets classical examples. It was previously unknown whether there were learning tasks that can be efficiently performed but not by the latter. Our primary result is to show that relative to an oracle, there are distributions that can be efficiently generated by a quantum learner with access to quantum examples, but not by a quantum learner with access to only classical examples, making progress to answering this question in the affirmative.

Quantum Physics (quant-ph); Machine Learning (cs.LG); Machine Learning (stat.ML)

arXiv:2608.11648 [quant-ph]

(or arXiv:2608.11648v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.11648 Focus to learn more arXiv-issued DOI via DataCite

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