局部集群解码器作为表面代码的快速和适应性硬件解码器
Abbas B Ziad1, Ankit Zalawadiya2, Canberk Topal2
1Riverlane, Cambridge, UK. abbasbrackenziad@gmail.com.
Nature communications
|December 17, 2025
概括
一个新的局部集群解码器为量子计算机提供了准确和快速的实时解码. 这一突破减少了对容错量子计算所需的物理量子比特的数量,从而实现了更多的操作.
科学领域:
- 量子信息科学 量子信息科学
- 计算机工程 计算机工程
背景情况:
- 容错量子计算需要高效的解码来管理错误.
- 目前的解码方法面临着速度和准确性之间的权衡,阻碍了实际的量子计算.
研究的目的:
- 引入一种新的解码系统,满足实时量子错误校正的准确性和速度要求.
- 为了减少与容错量子计算相关的开销.
主要方法:
- 在现场可编程门数组 (FPGA) 上实现本地集群解码器.
- 利用硬件并行性和适应性引擎进行实时更新.
- 在电路级噪声模型下进行测试,泄漏作为主要错误来源.
主要成果:
- 局部集群解码器实现了高精度和速度,在每轮解码时不到1微秒.
- 与标准的非自适应解码器相比,使用4倍更少的物理量子比特实现100万次无错量子运算.
- 通过适度的FPGA资源表现出高效的性能.
结论:
- 局部集群解码器提供了一个可行的解决方案,用于实时解码在容错量子计算.
- 这一进步显著减少了量子比特的开销,为可扩展的量子计算机铺平了道路.
- 解码器的自适应性增强了其对漏洞等主要错误源的稳定性.
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