学习解码逻辑电路的方法
Yiqing Zhou1, Chao Wan2, Yichen Xu3
1Department of Physics, Cornell University, Ithaca, NY, USA. yz2728@cornell.edu.
Nature computational science
|November 4, 2025
概括
一个新的多核电路解码器 (MCCD) 框架有效地解码深层逻辑量子电路中的错误. 与传统方法相比,这种以数据为中心的方法提供了具有竞争力的准确性和更快的解码时间,解决了量子计算中的一个关键挑战.
科学领域:
- 量子信息科学 量子信息科学
- 量子错误纠正方法 量子错误纠正方法
- 计算复杂性 计算复杂性
背景情况:
- 进步的量子硬件需要高效的解码算法来纠正错误的量子电路.
- 纠门的相关错误挑战了传统的量子内存解码方法.
- 多项式时间解码算法对于实现容错量子计算至关重要.
研究的目的:
- 为深度逻辑量子电路引入一种新的,以数据为中心的模块化解码器框架.
- 为了解决解码的瓶,纠门引入的相关错误.
- 为可扩展的量子计算开发一种无噪声模型解码解决方案.
主要方法:
- 开发了多核电路解码器 (MCCD) 框架,用于每个逻辑操作的模块化组件.
- 训练有素的MCCD使用镜面对称的随机克利福德电路来学习相关的错误模式.
- 在深度电路上评估MCCD性能,将准确性和解码时间与MWPM,MLE和BP-OSD进行比较.
主要成果:
- MCCD有效地学习和解码量子电路中的相关错误.
- 在比用于训练的更深的电路上保持高逻辑准确度.
- 实现了具有竞争力的精度,显著提高了时间效率,特别是在具有纠门的电路上.
结论:
- MCCD框架为解码深度逻辑量子电路提供了高效准确的解决方案.
- 这种方法克服了传统解码器的局限性,特别是在处理相关错误方面.
- 通过解决一个关键的解码瓶,MCCD代表了迈向容错量子计算的重要一步.
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