Composite N-Q-S: Serial/Parallel Instrument Axioms, Bipartite Order-Effect Bounds, and a Monitored Lindblad Limit
Kazuyuki Yoshida
TL;DR
The paper addresses how to quantify order effects and mixing in sequential quantum measurements using a bipartite, compositional framework (N--Q--S). It develops explicit, data-driven constants for order-induced deviations, minorization-based mixing rates for composite instruments, and a diamond-norm bound that ties rearrangements to observable deviations, while connecting discrete look–return loops to a monitored Lindblad (GKLS) limit with finite-sample guarantees. Key contributions include a tight Halmos two-subspace bound with an explicit equality characterization, a product Doeblin constant bound yielding nonasymptotic mixing rates, and a monitored dynamics limit that preserves device-level rates. The results are implemented with a minimal qubit toy model and CSV scripts to support reproducibility, enabling device-level guarantees and data-driven performance certificates for order-effect control and operational mixing in quantum information tasks.
Abstract
We develop a composite operational architecture for sequential quantum measurements that (i) gives a tight bipartite order-effect bound with an explicit equality set characterized on the Halmos two-subspace block, (ii) upgrades Doeblin-type minorization to composite instruments and proves a product lower bound for the operational Doeblin constants, yielding data-driven exponential mixing rates, (iii) derives a diamond-norm commutator bound that quantifies how serial and parallel rearrangements influence observable deviations, and (iv) establishes a monitored Lindblad limit that links discrete look-return loops to continuous-time GKLS dynamics under transparent assumptions. Building on the GKLS framework of Gorini, Kossakowski, Sudarshan, Lindblad, Davies, Spohn, and later work of Fagnola-Rebolledo and Lami et al., we go beyond asymptotic statements by providing finite-sample certificates for the minorization parameter via exact binomial intervals and propagating them to rigorous bounds on the number of interaction steps required to attain a prescribed accuracy. A minimal qubit toy model and CSV-based scripts are supplied for full reproducibility. Our results position order-effect control and operational mixing on a single quantitative axis, from equality windows for pairs of projections to certified network mixing under monitoring. The framework targets readers in quantum information and quantum foundations who need explicit constants that are estimable from data and transferable to device-level guarantees.
