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Research PaperResearchia:202608.26089

Quantum Change Intervals: Exact Asymptotic Localization with Collective Measurements

Xu Chen

Abstract

We study exact-label minimum-error localization of a transient, calibrated pure-state change occupying one nonempty contiguous interval in an otherwise stationary sequence of independent outputs, allowing arbitrary collective measurements. Let $c=|\langle 0|ψ\rangle|$ be fixed as the sequence length grows. For each fixed known interval length $i$, as the number $N$ of admissible translations tends to infinity, the corresponding Toeplitz symbol yields an exact square-root integral for the asympto...

Submitted: August 26, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

We study exact-label minimum-error localization of a transient, calibrated pure-state change occupying one nonempty contiguous interval in an otherwise stationary sequence of independent outputs, allowing arbitrary collective measurements. Let c=0ψc=|\langle 0|ψ\rangle| be fixed as the sequence length grows. For each fixed known interval length ii, as the number NN of admissible translations tends to infinity, the corresponding Toeplitz symbol yields an exact square-root integral for the asymptotic optimal success probability, and the square-root measurement (SRM) attains the same limit. If the known length ini_n and Nn=nin+1N_n=n-i_n+1 both diverge, with no restriction on their ratio, the optimal and SRM success probabilities converge to the one-dimensional Toeplitz functional at the effective compound overlap c2c^2, namely p1(c2)p_1(c^2). Under a uniform prior over all nonempty intervals, the unknown-length physical Gram kernel is not globally two-dimensional Toeplitz because of gap-dependent corrections. A triangular Følner reduction and an exceptional-sector Gram transfer theorem extend the comparison-kernel limits to the optimal and SRM success probabilities of the full physical ensemble, yielding p1(c)2p_1(c)^2. After adding a no-change hypothesis with fixed prior π0π_0, while retaining the uniform conditional distribution over anomalous intervals, the optimal joint Bayes limit is π0+(1π0)Lπ_0+(1-π_0)L, where LL is the corresponding conditional localization limit; the weighted SRM for the augmented ensemble is not analyzed. Finite-size semidefinite programs and full dense physical-Gram SRM computations illustrate the asymptotic results.


Source: arXiv:2608.24543v1 - http://arxiv.org/abs/2608.24543v1 PDF: https://arxiv.org/pdf/2608.24543v1 Original Link: http://arxiv.org/abs/2608.24543v1

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Date:
Aug 26, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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