Quantum Optimization for Adaptive Quantum Error Correction
Jincheng Zhang
Abstract
Quantum error correction is a critical component of quantum computing, enabling the reliable storage and manipulation of quantum information. Current quantum error correction codes, however, often rely on pre-defined parameters that may not optimally adapt to the specific characteristics of the quantum system being protected. This paper introduces a novel self-adaptive quantum error correction algorithm, designed to dynamically adjust error correction parameters based on the quantum system's inherent properties. We propose a quantum optimization algorithm that iteratively refines these parameters, leading to improved fidelity, stability, and overall performance. This work represents a significant advancement in error correction, offering a potential pathway towards more robust and versatile quantum systems.