Core Claim: Design a self-adaptive quantum error correction algorithm that dynamically adjusts quantum bit phases based on quantum error correction failure patterns, thereby enhancing error correction efficiency.
Jincheng Zhang
Abstract
Quantum error correction (QEC) is a crucial component of quantum computing, enabling the reliable transmission and manipulation of quantum information. Traditional QEC schemes often rely on fixed phase adjustments, which can be suboptimal in certain scenarios. This paper introduces a novel self-adaptive quantum error correction algorithm, termed "Quantum Phase Evolution," that dynamically adjusts quantum bit phases based on the observed error patterns. Our approach leverages a 'Quantum Phase Evolution' mechanism to optimize the error correction process by tailoring the qubit states in response to feedback loops generated during error correction. We demonstrate the effectiveness of this algorithm through simulations and preliminary experiments, achieving significant improvements in error correction fidelity compared to conventional methods. The core mechanism is to iteratively refine the quantum state based on the error patterns, offering a more adaptive and potentially more efficient approach to QEC.