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优化量子门,使其达到逻辑量子比特的规模.
Paul V Klimov1, Andreas Bengtsson2, Chris Quintana2
1Google AI, Mountain View, CA, USA. pklimov@google.com.
Nature communications
|March 19, 2024
概括
本研究介绍了一种新的控制优化策略,以克服量子计算中的扩展挑战. 该方法显著降低了超导量子比特的物理错误率,为更强大的量子错误纠正铺平了道路.
科学领域:
- 量子计算和信息科学 量子计算和信息科学
- 量子错误纠正方法 量子错误纠正方法
- 超导量子比特控制控制器
背景情况:
- 量子处理器的缩放需要保持超出容错错误值的网关忠实性.
- 挑战包括制造高性能量子硬件和工程可扩展控制系统.
- 对大型量子系统的控制优化是复杂的,涉及非凸,高约束和时间动态问题.
研究的目的:
- 开发一个可扩展的控制优化策略,用于复杂的量子门操作.
- 为了证明该策略在减轻超导量子比特计算错误方面的有效性.
- 为了解决量子计算控制中的通用缩放挑战.
主要方法:
- 编排68个可调频超导量子比特的频率轨迹.
- 使用优化控制参数执行单位和双量子比特网关.
- 将策略与量子处理器的全面物理错误模型集成.
主要成果:
- 与未经优化控制相比,控制优化策略抑制了物理错误率的约3.7倍.
- 在大型超导量子比特处理器上成功执行量子门.
- 对于使用1057个物理量子位的距离-23表面代码逻辑量子位的预计性能优势.
结论:
- 开发的控制优化策略有效地扩展量子门操作,同时减轻错误.
- 这种方法解决了构建容错量子计算机的关键瓶.
- 该策略可以适应各种量子操作,算法和架构.
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