Quantum Error Correction Protocols: A Probabilistic Adaptive Quantum Algorithm Optimization

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum error correction is a critical requirement for achieving fault-tolerant quantum computation. Traditional approaches often rely on precise quantum state manipulation, which is inherently challenging. This paper proposes a novel quantum error correction protocol based on probabilistic optimization, leveraging the inherent distribution of quantum states to dynamically adjust the computation's outcome. We aim to design a self-adaptive optimization strategy that enhances quantum algorithm accuracy and efficiency. This approach moves away from the limitations of deterministic algorithms and embraces the inherent randomness of quantum mechanics. The core mechanism involves introducing noise into the quantum state, guiding the algorithm's evolution to minimize error. This novel design offers a fundamentally different perspective on error correction, potentially achieving significantly improved accuracy and computational speed. The paper details the proposed protocol, presents preliminary results, and discusses future research directions.

DOI: 10.5281/zenodo.22270484

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