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Quantum Physics

arXiv:2605.13691 (quant-ph)
[Submitted on 13 May 2026 (v1), last revised 20 Aug 2026 (this version, v3)]

Title:Probing Quantum Information Scrambling via Local Randomized Measurements

Authors:Yan-Ming Chen, Dan-Bo Zhang
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Abstract:In quantum many-body dynamics, locally encoded information typically scrambles across the entire system, becoming inaccessible to local probes. The upper bound of accessible information of local probes can be characterized by the Holevo information via optimal measurement. In this work, we investigate the information dynamics of quantum scrambling utilizing local randomized probes, quantified by the averaged accessible information (AAI). We derive an analytical expression for the AAI under Haar-random measurements and demonstrate that it is a function of purity of local reduced density matrix. Operationally, we employ the classical shadow protocol, using only single-qubit randomized Pauli measurements, to efficiently extract the AAI across extended subsystems. Through numerical simulations across diverse many-body paradigms, we show that the AAI can reveal distinct scrambling behaviors, resolving phenomena that range from dynamical confinement and ballistic transport to persistent scar revivals and many-body localization. This work highlights a pragmatic paradigm shift, from relying on optimal measurements to utilizing randomized local probes, for the characterization of complex quantum information dynamics.
Comments: Published in Physical Review A 114, 022438 (2026)
Subjects: Quantum Physics (quant-ph)
Cite as: arXiv:2605.13691 [quant-ph]
  (or arXiv:2605.13691v3 [quant-ph] for this version)
  https://doi.org/10.48550/arXiv.2605.13691
arXiv-issued DOI via DataCite
Journal reference: Phys. Rev. A 114, 022438 (2026)
Related DOI: https://doi.org/10.1103/3wng-ynk2
DOI(s) linking to related resources

Submission history

From: YanMing Chen [view email]
[v1] Wed, 13 May 2026 15:43:38 UTC (2,316 KB)
[v2] Fri, 15 May 2026 11:13:50 UTC (2,317 KB)
[v3] Thu, 20 Aug 2026 15:20:42 UTC (2,318 KB)
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