Title: Bio-Inspired Quantum Error Correction (BIEQC)

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum error correction is a critical component of quantum computing, enabling the reliable operation of complex quantum algorithms. Current error correction schemes, however, are often cumbersome and require substantial overhead. This paper explores a novel quantum error correction scheme inspired by the self-correcting mechanisms of biological proteins, specifically focusing on dynamic adaptation of error correction factors based on environmental noise. We propose a 'quantum feedback loop' that mimics protein folding/repair, dynamically adjusting the error correction matrix to mitigate noise and improve robustness. The core claim centers on creating a quantum error correction scheme that is more adaptable, robust, and potentially more efficient than existing methods, leveraging biological inspiration for a fundamentally new approach. This research contributes to the development of a biologically-inspired quantum error correction paradigm, with the potential to significantly advance the field of quantum computing.

DOI: 10.5281/zenodo.22195779

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