Category: Physics

Summary: Comparing adaptive and fixed delayed quench control in a disordered Ising model to see when delayed feedback lowers interface density and strengthens ordering.

The route from a hot disordered state to a cold ordered one can depend strongly on how the control parameter is changed in time. This experiment asks whether adaptive quench timing helps an Ising-like system order more cleanly than a fixed schedule, and whether that benefit survives only at low delay and low forecast noise.

The script runs checkerboard Metropolis sweeps, measures final magnetization, late and mid-time interface density, and variability in the cooling slope, then compares adaptive and non-adaptive strategies. Because the system includes disorder and forecast uncertainty, the result is a timing-and-noise map rather than a single annealing benchmark.

That matters for nonequilibrium control problems where decisions must be made on imperfect information. The experiment tests whether delayed adaptivity sharpens ordering or instead injects extra variability once the feedback becomes stale.

Method: Disordered Ising-model simulations with Metropolis sweeps under delayed adaptive or fixed quench schedules, summarized across repeated trials.

What is measured: Final absolute magnetization, interface density at mid and late times, cooling-slope variability, and whether adaptive control helps at low delay but hurts at high delay.