Computational study reveals breakdown of scalar rate error predictors in optomechanical systems, indicating that frozen state approximations depend heavily on drive waveform dynamics.
This computational study examines the validity of the instantaneous frozen-state approximation in an optomechanically parameterized linear Gaussian system subjected to eight heterogeneous drive protocols and three nominal cooperativity targets. The analysis tests whether a scalar rate-based diagnostic, (χ), can monotonically order the error between frozen covariance solutions and direct time-dependent covariance evolution. A post-run audit identified and corrected a temporal-window mismatch affecting a pulsed protocol, evaluated Gaussian quantum admissibility across all 24 drive/target cases, performed timestep-convergence checks on boundary cases, and quantified differences between nominal and realized coupling across waveform classes. Six drive/target cases were excluded from the final physical statistics because their covariance trajectories left the Gaussian quantum-admissible domain. After temporal alignment and physicality filtering, 11 pairwise (χ)-error ordering inversions remained, distributed 5, 5, and 1 across nominal cooperativity targets (Ctarget=50, 200,) and (1000). The results show that (χ) retains substantial regime and ordering information, particularly at the highest target, but is not a sufficient monotonic predictor of frozen-state error across heterogeneous temporal protocols. The study also documents the finite quantum-admissible operating domain of the implemented generator and provides a fully archived computational provenance chain, including the locked model, post-run audit, figure source data, numerical outputs, execution records, and reproducibility materials.
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Kearon Allen (2026) studied this question.
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