Distributed Consensus with Quantum-Inspired Measurement

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the application of quantum-inspired measurement techniques to enhance distributed consensus algorithms. Traditional distributed consensus protocols often suffer from slow convergence rates and vulnerability to network disruptions. We propose a novel approach that leverages principles of quantum measurement—specifically, the concept of superposition and selective observation—to improve consensus performance. Our method involves a probabilistic sampling strategy where nodes selectively measure the state of their neighbors, guided by a carefully designed measurement operator. This reduces redundant communication, accelerates convergence, and increases robustness against malicious or faulty nodes. We formally define the consensus protocol, provide a mathematical analysis of its convergence properties, and demonstrate, through theoretical arguments, the potential for significant improvements in key metrics such as convergence time and fault tolerance. The core contribution lies in translating quantum-inspired ideas into a practical distributed consensus framework, offering a path toward more efficient and reliable distributed systems.

DOI: 10.5281/zenodo.22457340

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