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一种动态自适应式读取方法,用于超导量子计算的电子读取
Chenxi Chen1,2, Yujie Zhao1,2, Liwei Qiu3
1State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China.
The Review of scientific instruments
|June 16, 2025
概括
我们开发了一种动态自适应读取方法 (DARM),以改进超导量子计算. DARM 提高了 22.76% 的量子比特读数准确度,并减少了测量时间,优化了量子操作.
科学领域:
- 量子计算是一种量子计算.
- 超导电路中的超导电路
- 量子信息科学 量子信息科学
背景情况:
- 实时控制和读取对于超导量子计算至关重要,可以在量子位相干时间内实现复杂的算法.
- 量子读取是一个重要的瓶,通常是实验平台中耗时最长的操作.
- 像标准读取方法 (SRM) 这样的现有方法在速度和效率上有局限性.
研究的目的:
- 引入和评估一种用于超导量子比特的新型动态自适应读取方法 (DARM).
- 为了提高量子比特读数在真实性和速度方面的性能.
- 将DARM与现有的读取技术进行比较,包括SRM和feedforward神经网络.
主要方法:
- 在基于现场可编程门阵列 (FPGA) 的系统上实现DARM.
- 使用动态自适应方法来优化测量脉冲持续时间.
- 将DARM与SRM (使用高斯纳夫贝叶斯) 和feedforward神经网络方法进行比较.
主要成果:
- 与SRM相比,DARM在读数准确度方面取得了22.76%的相对改善,读数持续时间一致.
- 通过提前终止,DARM显示平均测量脉冲长度相对减少9.93%.
- 对于DARM的电子处理延迟为52 ns,仅比SRM长4 ns,电子利用率低于神经网络方法.
结论:
- 在超导量子比特读数性能方面,DARM提供了显著的进步.
- 该方法提供了更快,更准确的读数,这对于量子计算的进步至关重要.
- 在FPGA系统上DARM的高效实现使其适用于实时量子控制应用.
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