Quantum Computing Distributed Time Sequence Prediction

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper investigates the application of quantum computing to enhance time series prediction, specifically focusing on the processing of long time series data. Traditional methods often struggle with the computational complexity associated with these datasets, limiting their predictive capabilities. We propose a distributed time series prediction system leveraging quantum algorithms and quantum phenomena to significantly improve prediction accuracy, particularly when dealing with extended temporal patterns. This work explores the potential of quantum acceleration in handling long-range dependencies inherent in time series data.

DOI: 10.5281/zenodo.22331255

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