Decentralized Computation via Consensus-Based Quantum Networks
Jincheng Zhang
Abstract
This paper proposes a novel approach to decentralized computation utilizing a network of quantum computers connected via entangled states. The core concept centers around achieving consensus among the nodes through iterative measurement protocols, capitalizing on the fundamental properties of quantum entanglement for secure and efficient communication. Unlike traditional distributed computing methods, this system leverages quantum superposition and entanglement to simultaneously process information from multiple nodes, offering potential advantages in computational speed and fault tolerance. The system's architecture consists of quantum nodes engaging in measurement campaigns, sharing measurement results via entangled links, and iteratively refining estimates until a consensus is reached. This iterative refinement process is formalized using a mathematical framework, detailing the measurement protocols and convergence criteria. The theoretical analysis demonstrates the feasibility of achieving consensus with a reasonable number of iterations, and highlights the security implications of employing quantum entanglement for data transmission. This work represents a radical departure from conventional distributed computing paradigms, presenting a new paradigm for computation through quantum networks.