Abstract
Dynamic Quantum Resource Partitioning Architecture (DQRPA) provides a system-level framework for operating quantum-enhanced systems under realistic noise and coherence constraints. Rather than relying on monolithic entangled states whose performance collapses outside laboratory conditions, DQRPA partitions a fixed resource budget into coherence-matched logical blocks, selected by maximizing the retained Heisenberg contribution encoded in a platform-specific retention function. This converts empirical coherence characterization into explicit architectural design rules governing block size, routing feasibility, and operating regimes. We show that DQRPA generically yields a robust enhanced–SQL scaling plateau, avoids catastrophic performance collapse, and enables noise-aware routing across heterogeneous segments. All platform dependence enters exclusively through the retention function, rendering the framework agnostic to the underlying physical implementation. Logical-block abstraction provides a clean interface for incorporating local mitigation strategies without altering architectural scaling behavior. DQRPA therefore establishes a unifying architectural layer for scalable, noise-aware quantum enhancement across sensing, networking, and hybrid quantum–classical systems, within the constraints of all realistic hardware platforms.
Research Context
This paper is part of CSA's quantum research program connecting quantum metrology, structured environmental noise, decoherence, quantum communication, and operationally relevant quantum-system engineering.
Citation
@misc{sidhu2026noiseadaptivequantumsensing,
author = {Deepinder Sidhu},
title = {Dynamic Quantum Resource Partitioning Architecture for Noise-Adaptive Quantum Sensing},
year = {2026},
note = {CyberSpace Analytics Quantum Research Series}
}