Distributed Consensus Algorithms for Quantum State Preparation
Jincheng Zhang
Abstract
This paper investigates the problem of achieving robust distributed consensus within quantum systems, focusing on the preparation of quantum states. The core challenge stems from the inherent fragility of quantum states due to decoherence and the limitations imposed by communication channels in distributed environments. We propose a new framework for consensus algorithms specifically designed for quantum state preparation, leveraging entanglement-assisted communication and advanced error correction methods. These algorithms are constructed to mitigate the effects of noise and ensure reliable agreement among distributed quantum nodes. We present a theoretical analysis of the proposed algorithms, outlining their key characteristics, limitations, and potential improvements. The work contributes to the growing field of quantum distributed computing by providing a novel approach to achieving consensus, a critical requirement for building complex and reliable quantum networks. We explore the impact of different parameters on the performance of the algorithms and suggest avenues for future research.