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News/Classical Hardness of Learning Functions of Hamiltonians
arxiv
PublishedOctober 3, 2026 at 4:00 AM
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Classical Hardness of Learning Functions of Hamiltonians

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arXiv:2610.01141v1 Announce Type: cross Abstract: Morohoshi, Nakayama, Manabe, and Mitarai proposed a physically motivated quantum machine learning problem in which the goal is to predict quantities of the form $\operatorname{Tr}[f(H)\rho]$ from classical descriptions of a Hamiltonian $H$ and a quan

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