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Measurement-Budget Allocation in Quantum Learning with Finite-Shot Generalization Guarantees

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.24891v1 Announce Type: new Abstract: On near-term quantum hardware, estimating a Born probability requires repeated circuit executions. A quantum learning experiment with a fixed measurement budget $B$ must therefore decide how many distinct training states $n$ to use and how many shots…

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  1. 2026-08-27 04:00 · arXiv cs.AI
    Measurement-Budget Allocation in Quantum Learning with Finite-Shot Generalization Guarantees

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