Data underlying the publication "Mapping a 50-spin-qubit network through correlated sensing"
收藏4TU.ResearchData2024-01-09 更新2026-04-23 收录
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https://data.4tu.nl/datasets/aba1cc84-0aea-4cdc-93ca-68b0db38bd81/1
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资源简介:
Spins associated to optically accessible solid-state defects have emerged as a versatile platform for exploring quantum simulation, quantum sensing and quantum communication. Pioneering experiments have shown the sensing, imaging, and control of multiple nuclear spins surrounding a single electron-spin defect. However, the accessible size and complexity of these spin networks has been constrained by the spectral resolution of current methods. Here, we map a network of 50 coupled spins through high-resolution correlated sensing schemes, using a single nitrogen-vacancy center in diamond. We develop concatenated double-resonance sequences that identify spin-chains through the network. These chains reveal the characteristic spin frequencies and their interconnections with high spectral resolution, and can be fused together to map out the network. Our results provide new opportunities for quantum simulations by increasing the number of available spin qubits. Additionally, our methods might find applications in nano-scale imaging of complex spin systems external to the host crystal.<br>This server contains the data and notebooks to reproduce the figures.<br>Also, it contains excel files detailing the positions, frequencies, measured couplings and predicted couplings of the 50-spin network mapped in this work.
与光可寻址固态缺陷(optically accessible solid-state defects)相关的自旋体系,已成为开展量子模拟、量子传感与量子通信研究的多功能平台。开创性实验已实现对单个电子自旋缺陷周围多个核自旋的传感、成像与操控。然而,此类自旋网络的可访问规模与复杂程度,均受限于当前方法的光谱分辨率。本文中,我们依托金刚石中的单个氮-空位中心(nitrogen-vacancy center),通过高分辨率关联传感方案,绘制了包含50个耦合自旋的网络图谱。我们开发了级联双共振序列,可通过该网络识别自旋链;这些自旋链以极高的光谱分辨率揭示了特征自旋频率及其相互连接关系,还可通过融合拼接操作完整绘制出整个自旋网络。本研究通过扩充可用自旋量子比特的数量,为量子模拟研究提供了全新机遇。此外,我们提出的方法或可应用于宿主晶体外部复杂自旋体系的纳米级成像。
本服务器包含用于复现所有图表的数据与Notebook文件。
同时还包含Excel文件,详细记录了本研究中绘制的50自旋网络的位置、频率、实测耦合参数与预测耦合参数。
提供机构:
Twitchen, Daniel; Breitweiser, S.A.; Markham, M.; Taminiau, T.H.; Kwiatkowski, D. P.; Abobeih, Mohamed; Bradley, Conor; Randall, Joe; Basset, L.C.
创建时间:
2024-01-09



