Characterization of Metal Ions in Neurons Using a Superconducting Flux Qubit

被引：0

作者：

Toida H. ^{[1
]}

Sakai K. ^{[3
]}

Teshima T.F. ^{[4
]}

Kakuyanagi K. ^{[1
,2
]}

Mahboob I. ^{[1
]}

Saito S. ^{[1
]}

机构：

[1] Superconducting Quantum Circuits Research Group, NTT Basic Research Laboratories

[2] Supervisor and Group Leader of Superconducting Quantum Circuits Research Group, NTT Basic Research Laboratories

[3] Bio-medical Informatics Research Center (BMC), Molecular and Bio Science Research Group, NTT Basic Research Laboratories

来源：

NTT Technical Review | 2024年 / 22卷 / 05期

关键词：

biosensing; quantum sensing; superconducting quantum circuits;

D O I：

10.53829/ntr202405fa5

中图分类号：

学科分类号：

摘要：

In the race to develop superconducting quantum computers, superconducting quantum circuit technology has made remarkable progress. The technology has also been applied to quantum sensing, especially highly sensitive magnetometers. The target of on-chip measurement by superconducting quantum sensors has thus far been limited to impurities in semiconductors. However, the range of applications is not limited to such hard materials. This article describes the detection of ferric ions in neurons with a high-sensitivity, high-spatial-resolution magnetometer using a superconducting flux qubit. © 2024 Nippon Telegraph and Telephone Corp.. All rights reserved.

引用

页码：46 / 51

页数：5

共 5 条

[1]

Budoyo R. P., Kakuyanagi K., Toida H., Matsuzaki Y., Saito S., Electron Spin Resonance with Up to 20 Spin Sensitivity Measured Using a Superconducting Flux Qubit, Appl. Phys. Lett, 116, 19, (2020)

[2]

Saito S., Mizuno K., Takenaka T., Toida H., Kakuyanagi K., Quantum Information Technology Based on Superconducting Quantum Circuits, NTT Technical Review, 21, 6, pp. 29-35, (2023)

[3]

Toida H., Sakai K., Teshima T. F., Hori M., Kakuyanagi K., Mahboob I., Ono Y., Saito S., Magnetometry of Neurons Using a Superconducting Qubit, Commun. Phys, 6, (2023)

[4]

Kumar P., Bulk M., Webb A., van der Weerd L., Oosterkamp T. H., Huber M., Bossoni L., A Novel Approach to Quantify Different Iron Forms in ex-vivo Human Brain Tissue, Sci. Rep, 6, (2016)

[5]

Vroegindeweij L. H. P., Bossoni L., Boon A. J. W., Wilson J. H. P., Bulk M., Labra-Munoz J., Huber M., Webb A., van der Weerd L., Langendonk J. G., Quantification of Different Iron Forms in the Aceruloplasminemia Brain to Explore Iron-related Neurodegeneration, Neuroimage Clin, 30, (2021)

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