The authors derive a linear-response formula for entropy production of slowly driven non-equilibrium Markov systems, use it to optimize protocols, and find overshoot protocols with diverging parameters and finite dissipation in the slow-driving limit.
Reliability and entropy production in non-equilibrium electronic memories
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abstract
We find the relation between reliability and entropy production in a realistic model of electronic memory (low-power MOS-based SRAM) where logical values are encoded as metastable non-equilibrium states. We employ large deviations techniques to obtain an analytical expression for the bistable quasipotential describing the non-equilibrium steady state and use it to derive an explicit expression bounding the error rate of the memory. Our results go beyond the dominant contribution given by classical instanton theory and provide accurate estimates of the error rate as confirmed by comparison with stochastic simulations. The methods developed can be adapted to study the reliability of broad classes of nonlinear devices subjected to thermal noise.
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cond-mat.stat-mech 1years
2025 1verdicts
REJECT 1representative citing papers
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Thermodynamic control of non-equilibrium systems
The authors derive a linear-response formula for entropy production of slowly driven non-equilibrium Markov systems, use it to optimize protocols, and find overshoot protocols with diverging parameters and finite dissipation in the slow-driving limit.