论文标题
使用开源平台的光学检测到的磁共振
Optically detected magnetic resonance with an open source platform
论文作者
论文摘要
固态环境中的局部电子自旋形成了用于量子感应,计量和量子信息处理的多功能和鲁棒平台。使用光学检测到的磁共振(ODMR),与基于感应的技术相比,可以准备和读取高度连贯的自旋系统,直至室温,并具有增强的敏感性和空间分辨率,从而可以进行单个旋转操作。虽然在有机分子中首次观察到ODMR,但此后已经确定了许多其他系统。其中包括钻石中的氮呈(NV)中心,该中心既用作外部场的纳米级量子传感器,又用作旋转量子量子。允许ODMR的其他系统是稀土离子用作量子记忆,许多其他颜色中心被困在散装或二维宿主材料中。为了允许最广泛的研究人员和工程师社区调查和开发新颖的基于ODMR的材料和应用,我们在这里回顾了使用市售硬件的ODMR实验的设置。我们还详细介绍了名为QUDI的专用协作开源界面,并描述了我们添加的功能,以加速数据采集,放松仪器要求并将其适用性扩展到集合测量。涵盖了硬件和软件开发,本文旨在从各种科学背景中浸入ODMR的新移民的学习曲线,优化实验性开发时间,抢占常见的测量陷阱,并提供有效,便携式和协作的界面,以实现创新实验。
Localized electronic spins in solid-state environments form versatile and robust platforms for quantum sensing, metrology and quantum information processing. With optically detected magnetic resonance (ODMR), it is possible to prepare and readout highly coherent spin systems, up to room temperature, with orders of magnitude enhanced sensitivities and spatial resolutions compared to induction-based techniques, allowing for single spin manipulations. While ODMR was first observed in organic molecules, many other systems have since then been identified. Among them is the nitrogen-vacancy (NV) center in diamond, which is used both as a nanoscale quantum sensor for external fields and as a spin qubit. Other systems permitting ODMR are rare earth ions used as quantum memories and many other color centers trapped in bulk or 2-dimensional host materials. In order to allow the broadest possible community of researchers and engineers to investigate and develop novel ODMR-based materials and applications, we review here the setting up of ODMR experiments using commercially available hardware. We also present in detail the dedicated collaborative open-source interface named Qudi and describe the features we added to speed-up data acquisition, relax instrument requirements and extend its applicability to ensemble measurements. Covering both hardware and software development, this article aims to steepen the learning curve of newcomers in ODMR from a variety of scientific backgrounds, optimize the experimental development time, preempt the common measurement pitfalls, and provide an efficient, portable and collaborative interface to implement innovative experiments.