Testing local occupation variance reveals dephasing impacts in a one-dimensional Bose-Hubbard chain, indicating effects of targeted intervention.
We test whether the local occupation variance Fᵢ= nᵢ²- nᵢ² identifies causally effective intervention sites in a one-dimensional open Bose-Hubbard chain under Lindblad dephasing. Additional dephasing at the top-k highest-Fᵢ sites is compared against matched-budget random targeting across 100 independent trials per condition, using exact Lindblad evolution in the fixed-particle-number sector (L∈6,7,8, τ∈1,2,3). The primary sweep reveals three regimes: at $J/U=0.12$ targeted intervention is harmful; near J/U0.20 there is a crossover sensitive to system size and horizon; and at J/U≥0.30 targeted intervention is reliably beneficial, with 95% confidence intervals above zero at every tested (L,τ) combination. Controls using disorder, shell-matched permutations, deterministic tilt chains, and extra-dephasing-rate scans show that the effect is not reducible to geometric centrality, shell position, mean occupation, disorder amplitude, or a tuned intervention strength. Because the systems are small enough for exhaustive enumeration, we rank the Fᵢ-selected subset against all Lk possible intervention subsets; in the positive-pocket regime it lies at the top of the subset-response distribution and the conclusion survives signed, absolute, and redistribution-based target definitions. Finite-difference susceptibility analysis shows that Fᵢ is not a local-depletion susceptibility but a redistribution susceptibility: high-Fᵢ sites are those where small extra dephasing most strongly perturbs the global occupation pattern. Thus, within the tested finite chains, local number variance functions as a regime-dependent redistribution handle for targeted dephasing.
No takes yet. Share an insight, caveat, or question.
Kunal Bhatia (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: