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Cross-time memory kernels in macroscopic quantum tunneling non-Markovian signatures in Josephson junctions
Mahgoub A. Salih, Mohamed. Y. Shirgawi
Abstract
Abstract We propose a population-level description of cross-time memory effects in macroscopic quantum tunneling of a current-biased Josephson junction subject to a dynamically suppressed interval $$[t_1,t_2]$$ . Starting from the Caldeira–Leggett influence functional, we identify the controlled approximations under which bath-mediated correlations between instantons can be coarse-grained into a Volterra equation for the survival probability S ( t ). The resulting cross-time kernel couples pre-window times $$t'<t_1$$ to post-window times $$t>t_2$$ with an amplitude proportional to $$e^{-\lambda _c\Delta t_b}M_\textrm{pre}$$ , where $$\Delta t_b=t_2-t_1$$ and $$M_\textrm{pre}$$ is a history-weighted pre-window survival functional. The switching distribution $$P(t)=-\dot{S}(t)$$ then contains a Markovian clustering peak at $$t_2$$ and a non-Markovian post-window tail. We clarify that the kernel is a controlled phenomenological reduction, not an exact microscopic identity, and we state explicit positivity, validity, and thermal-crossover conditions. Numerical diagnostics are reformulated in terms of S ( t ) and show how the full switching distribution changes with barrier duration and pre-barrier history. The analysis indicates that ordinary resistively shunted junctions have too short a memory time for nanosecond barriers, whereas engineered high- Q resonator environments provide a plausible route to testing the predicted peak-plus-tail signatures.