Papers
Topics
Authors
Recent
Search
2000 character limit reached

Quantum Change Intervals: Exact Asymptotic Localization with Collective Measurements

Published 25 Aug 2026 in quant-ph | (2608.24543v1)

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=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 c<sup>2c<sup>2, namely p1(c<sup>2)p_1(c<sup>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)<sup>2p_1(c)<sup>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.

Authors (2)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.