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Riccardo Molteni

2 accepted papers

2026

Quantum machine learning advantages beyond hardness of evaluation

ICLR 2026poster

Recent years have seen rigorous proofs of quantum advantages in machine learning, particularly when data is labeled by cryptographic or inherently quantum functions. These results typically rely on the infeasibility of classical polynomial-sized circuits to evaluate the true labeling function. While…

Cited by 0SourceScholar
2025

Limitations of measure-first protocols in quantum machine learning

ICML 2025poster

In recent times, there have been major developments in two distinct yet connected domains of quantum information. On the one hand, substantial progress has been made in so-called randomized measurement protocols. Here, a number of properties of unknown quantum states can be deduced from surprisingly…

Cited by 8SourcePDFScholar