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This research advances the theoretical understanding of quantum decay in disordered environments by applying hyperstatistics to model non-Markovian dynamics and long-time tails. The study establishes critical thresholds for environmental complexity parameters ($q$) that determine whether mean lifetimes remain finite or diverge, offering new insights into Anderson localization and Griffiths-like phases. Such foundational work is essential for refining quantum error correction protocols and optimizing coherence times in future quantum hardware operating under realistic noise conditions.
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Non-Markovian Quantum Decay in Complex Environments: A Hyperstatistical Approach

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arXiv:2609.22190v1 Announce Type: new Abstract: The exponential decay of an unstable quantum state, as described by standard Markovian theories such as Fermi's Golden Rule, assumes a simple, structureless environment. However, in complex environments characterized by disorder, long-range interactions, or strong fluctuations, local decay rates fluctuate, leading to non-Markovian dynamics and power-law ``long-time tails.'' In this paper, we apply the recently proposed \textit{hyperstatistics} framework to solve the problem of quantum decay in such complex environments. By considering a $\gamma$-distribution of local decay rates across mesoscopic domains, we derive a macroscopic survival probability governed by a $q$-exponential function. We then use the $q$-generalized Gamma function, defined via the Mellin transform of the $q$-exponential, to calculate the moments of the decay-time distribution. We show that the mean quantum lifetime is finite for $q<2$. The convergence of the second moment instead requires the stricter condition $q<3/2$. For $1<q<3/2$ both the mean lifetime and its variance are finite, for $3/2\le q<2$ the mean lifetime remains finite but lifetime fluctuations become infinitely broad, and for $q\ge2$ the mean lifetime itself diverges. This result provides a physical interpretation linking extreme environmental complexity to Anderson localization and Griffiths-like phases.

Abstract:The exponential decay of an unstable quantum state, as described by standard Markovian theories such as Fermi's Golden Rule, assumes a simple, structureless environment. However, in complex environments characterized by disorder, long-range interactions, or strong fluctuations, local decay rates fluctuate, leading to non-Markovian dynamics and power-law ``long-time tails.'' In this paper, we apply the recently proposed \textit{hyperstatistics} framework to solve the problem of quantum decay in such complex environments. By considering a $\gamma$-distribution of local decay rates across mesoscopic domains, we derive a macroscopic survival probability governed by a $q$-exponential function. We then use the $q$-generalized Gamma function, defined via the Mellin transform of the $q$-exponential, to calculate the moments of the decay-time distribution. We show that the mean quantum lifetime is finite for $q<2$. The convergence of the second moment instead requires the stricter condition $q<3/2$. For $1<q<3/2$ both the mean lifetime and its variance are finite, for $3/2\le q<2$ the mean lifetime remains finite but lifetime fluctuations become infinitely broad, and for $q\ge2$ the mean lifetime itself diverges. This result provides a physical interpretation linking extreme environmental complexity to Anderson localization and Griffiths-like phases.

Quantum Physics (quant-ph); Statistical Mechanics (cond-mat.stat-mech)

arXiv:2609.22190 [quant-ph]

(or arXiv:2609.22190v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.22190 Focus to learn more arXiv-issued DOI via DataCite

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