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This paper presents a rigorous non-Markovian model for transmon qubits operating in glassy environments, demonstrating how heavy-tailed defect reconfigurations can generate long-lived polarization storage tails from initial coherence. The study provides exact mathematical mappings between renewal histories and master equations, offering critical insights into managing decoherence pathways in solid-state quantum hardware.
Directional transfer from coherence to longitudinal polarization and algebraic storage in a transmon with Markovian dephasing and a glassy environment: A non-Markovian fractional renewal model
arXiv:2609.37270v1 Announce Type: new Abstract: We develop a completely positive and trace-preserving non-Markovian transmon model with longitudinal Markovian dephasing and transverse renewal events motivated by a glassy two-level-system environment. A microscopic Hamiltonian identifies coupling subspaces; a normalized Prabhakar waiting-time law phenomenologically coarse grains slow defect reconfigurations. Forward chronological renewal histories yield an exact map-level Volterra equation, a noncommuting kernel--resolvent master equation, and an equivalent drift-conjugated Caputo-type representation with its required initial-value term. Without energy relaxation, Pauli-space dynamics splits into two one-dimensional subspaces and a coupled $(\sigma_y,\sigma_z)$ subspace supporting directional transfer between coherence and longitudinal polarization; $\sigma_x$ polarization is renewal-insensitive. For heavy-tailed waiting times with $0<\alpha<1$, branch-cut analysis gives a generic $t^{-\alpha}$ storage tail in longitudinal polarization generated from initial coherence and $O(t^{-1-\alpha})$ reverse transfer; constant-rate Poisson renewal yields pole-generated exponential decay. Independent zero-temperature relaxation at finite $T_1$ exponentially cuts off these tails when its rate is below twice the pure-dephasing rate. We compare independent inverse-Laplace reconstructions of the waiting-time density, memory kernel, and selected qubit-response components to assess numerical accuracy. For the studied parameters, Prabhakar renewal gives larger forward-transfer magnitudes at the prescribed readout than both a scale-matched constant-rate Poisson reference and an inhomogeneous Poisson reference matching the full expected-count profile, including finite-$T_1$ tests. Both Poisson references yield larger evaluated finite-window peaks. Disorder-motivated renewal memory reshapes transmon decoherence selectively by state and direction.
Abstract:We develop a completely positive and trace-preserving non-Markovian transmon model with longitudinal Markovian dephasing and transverse renewal events motivated by a glassy two-level-system environment. A microscopic Hamiltonian identifies coupling subspaces; a normalized Prabhakar waiting-time law phenomenologically coarse grains slow defect reconfigurations. Forward chronological renewal histories yield an exact map-level Volterra equation, a noncommuting kernel--resolvent master equation, and an equivalent drift-conjugated Caputo-type representation with its required initial-value term. Without energy relaxation, Pauli-space dynamics splits into two one-dimensional subspaces and a coupled $(\sigma_y,\sigma_z)$ subspace supporting directional transfer between coherence and longitudinal polarization; $\sigma_x$ polarization is renewal-insensitive. For heavy-tailed waiting times with $0<\alpha<1$, branch-cut analysis gives a generic $t^{-\alpha}$ storage tail in longitudinal polarization generated from initial coherence and $O(t^{-1-\alpha})$ reverse transfer; constant-rate Poisson renewal yields pole-generated exponential decay. Independent zero-temperature relaxation at finite $T_1$ exponentially cuts off these tails when its rate is below twice the pure-dephasing rate. We compare independent inverse-Laplace reconstructions of the waiting-time density, memory kernel, and selected qubit-response components to assess numerical accuracy. For the studied parameters, Prabhakar renewal gives larger forward-transfer magnitudes at the prescribed readout than both a scale-matched constant-rate Poisson reference and an inhomogeneous Poisson reference matching the full expected-count profile, including finite-$T_1$ tests. Both Poisson references yield larger evaluated finite-window peaks. Disorder-motivated renewal memory reshapes transmon decoherence selectively by state and direction.
38 pages (main text and appendices), 10 figures. Submitted to Physical Review A on the 28th of September 2026
arXiv:2609.37270 [quant-ph]
(or arXiv:2609.37270v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.37270 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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