动态调整脉冲参数，提升量子电路抗噪能力。
Adaptive Genetic Algorithms for Pulse-Level Quantum Error Mitigation
- 根据噪声情况自适应调整脉冲参数，不改变门电路设计。
- 在格罗弗和德舒特-乔兹萨算法中显著提升保真度。
- 适用于实际运行中噪声波动的量子系统，适合硬件优化者。
噪声仍是量子计算中的根本挑战，严重影响脉冲保真度和整体电路性能。本文提出一种针对脉冲层级的量子误差缓解自适应算法，通过直接调控脉冲参数，在不修改电路门的情况下动态响应噪声环境，有效降低多种噪声源的影响，增强量子电路的鲁棒性。我们通过将该方法应用于格罗弗算法与德舒特-乔兹萨算法验证了其有效性。实验结果表明，该脉冲级策略在量子电路的噪声执行过程中提供了灵活高效的保真度提升方案。本工作推动了误差缓解技术的发展，对实现稳健量子计算具有重要意义。
原文摘要 · Abstract (English)
Noise remains a fundamental challenge in quantum computing, significantly affecting pulse fidelity and overall circuit performance. This paper introduces an adaptive algorithm for pulse-level quantum error mitigation, designed to enhance fidelity by dynamically responding to noise conditions without modifying circuit gates. By targeting pulse parameters directly, this method reduces the impact of various noise sources, improving algorithm resilience in quantum circuits. We show the latter by applying our protocol to Grover's and Deutsch-Jozsa algorithms. Experimental results show that this pulse-level strategy provides a flexible and efficient solution for increasing fidelity during the noisy execution of quantum circuits. Our work contributes to advancements in error mitigation techniques, essential for robust quantum computing.
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