Multi-Scale Quantum Entanglement Time Series Analysis

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the application of multi-scale quantum entanglement analysis to time series data, aiming to enhance the accuracy of time series prediction. Quantum entanglement, a fundamental property of quantum mechanics, exhibits unique characteristics that can be leveraged to identify complex non-linear relationships within time series data. We propose a novel analytical framework that utilizes multiple scales of entanglement to capture these relationships, offering a significant advancement over traditional time series analysis techniques. The core mechanism involves identifying and quantifying non-linear patterns within time series data through the application of quantum entanglement, ultimately improving predictive capabilities.

DOI: 10.5281/zenodo.22200017

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