Quantum Error Correction Based on Time Streams

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper proposes a novel approach to quantum error correction by leveraging the concept of time streams. Traditional quantum error correction methods primarily focus on correcting errors directly within the quantum states of qubits. This work introduces a fundamentally different perspective, treating the quantum state of a qubit as a time series and utilizing time series analysis techniques for error detection and correction. Specifically, we employ time series prediction models to identify anomalies within the time series data, effectively pinpointing the occurrence of errors. The core of this method lies in recognizing that the evolution of a qubit's state over time, represented as a time series, inherently contains information about the underlying errors. This approach offers a potentially more robust and efficient method for quantum error correction, particularly in scenarios where the dynamics of qubit evolution are complex and difficult to model directly. The paper outlines the theoretical framework and proposes a methodology for implementing this approach, highlighting its potential advantages and future research directions.

DOI: 10.5281/zenodo.22153227

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