Multidimensional minimum-work control of a 2D Ising model

Abstract

A system's configurational state can be manipulated using dynamic variation of control parameters, such as temperature, pressure, or magnetic field; for finite-duration driving, excess work is required above the equilibrium free-energy change. Minimum-work protocols in multidimensional control-parameter space have potential to significantly reduce work relative to one-dimensional control. By numerically minimizing a linear-response approximation to the excess work, we design protocols in control-parameter spaces of a 2D Ising model that efficiently drive the system from the all-down to all-up configuration. We find that such designed multidimensional protocols take advantage of more flexible control to avoid control-parameter regions of high system resistance, heterogeneously input and extract work to make use of system relaxation, and flatten the energy landscape, making accessible many configurations that would otherwise have prohibitively high energy and thus decreasing spin correlations. Relative to one-dimensional protocols, this speeds up the rate-limiting spin-inversion reaction, thereby keeping the system significantly closer to equilibrium for a wide range of protocol durations, and significantly reducing resistance and hence work.

10 pages, 11 figures

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Cited by in corpus (9)

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• Optimal Control of the F${}_1$-ATPase Molecular Motor
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• Optimal control of dissipation and work fluctuations for rapidly driven systems
• Efficient two-dimensional control of barrier crossing
• Optimal control with a strong harmonic trap
• Failure of the geometric approach prediction of excess work scaling for open and isolated quantum systems
• Connections between efficient control and spontaneous transitions in an Ising model
• Optimal finite-time processes in weakly driven overdamped Brownian motion