Adaptive Quantum Error Correction based on Contextual Data

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum error correction is a critical challenge in quantum computing, demanding efficient and robust error mitigation techniques. This paper presents an innovative adaptive quantum error correction scheme leveraging contextual data to dynamically adjust correction parameters, optimizing for both performance and resilience. We explore a novel approach that analyzes the quantum system's state, the computational task, and the surrounding environment to generate real-time correction adjustments. The system's design incorporates a feedback loop that continuously evaluates error rates and adjusts parameters to minimize errors, enhancing the system's overall reliability. This work provides a foundation for a future quantum computing paradigm emphasizing adaptability and resilience.

DOI: 10.5281/zenodo.22273015

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