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arXiv 2302.08236quant-ph
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单自旋量子传感器对核自旋的实时自适应传感

Real-time adaptive sensing of nuclear spins by a single-spin quantum sensor

Jingcheng Wang, Dongxiao Li, Ralf Betzholz, Jianming Cai

摘要:

量子传感被认为是量子信息中最有前途的子领域之一,以在现实世界的应用中提供实用的量子优势。然而,其令人印象深刻的能力,包括高灵敏度,往往受到有限的量子资源的阻碍。在这里,我们将预期信息增益(EIG)和加速计算等技术纳入贝叶斯实验设计(BED),以便更有效地使用量子资源。一个模拟的金刚石中的氮空位中心被用来演示床的实时操作。EIG不是启发式方法,而是用于实时选择最佳控制参数。此外,将BED与加速计算和异步操作相结合,我们发现在感测多个周围的C13核自旋时,可以实现绝对时间成本的十倍加速。我们的工作探讨了将EIG应用于基于BED的量子传感任务的可能性,并提供了将BED集成到更广义的量子传感系统中的有用技术。

英文摘要:

Quantum sensing is considered to be one of the most promising subfields of quantum information to deliver practical quantum advantages in real-world applications. However, its impressive capabilities, including high sensitivity, are often hindered by the limited quantum resources available. Here, we incorporate the expected information gain (EIG) and techniques such as accelerated computation into Bayesian experimental design (BED) in order to use quantum resources more efficiently. A simulated nitrogen-vacancy center in diamond is used to demonstrate real-time operation of the BED. Instead of heuristics, the EIG is used to choose optimal control parameters in real-time. Moreover, combining the BED with accelerated computation and asynchronous operations, we find that up to a tenfold speed-up in absolute time cost can be achieved in sensing multiple surrounding C13 nuclear spins. Our work explores the possibilities of applying the EIG to BED-based quantum-sensing tasks and provides techniques useful to integrate BED into more generalized quantum sensing systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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