PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 5, 2026Review of Scientific Instruments0 citations

Control and readout hardware platform for quantum diamond magnetic gradiometer

View Full Paper
ZZZhongLi ZHANGWZWenzhe ZhangXQX. S. Qin

Key Points

  • The aim is to develop a hardware platform for quantum magnetic gradiometers using nitrogen-vacancy centers in diamonds.
  • Developed a mother-daughter board architecture for the platform.
  • Implemented central control and data distribution on the mother board.
  • Designed daughter board for signal readout and feedback control for a single magnetic probe.
  • Achieved an equivalent current noise below 16 pA/Hz1/2.
  • Implemented a scalable hardware platform for multi-channel signal readout.
  • Demonstrated practical application potential in quantum engineering.

Abstract

A control and readout hardware platform, which is developed for the implementation of the quantum magnetic gradiometer based on the nitrogen-vacancy centers in diamond, is reported in this paper. The hardware platform is designed with a mother-daughter board architecture to facilitate multi-channel expansion. The mother board is used to realize the central control and data distribution for the platform, whereas a single daughter board can achieve the signal readout and the feedback control for one nitrogen-vacancy center vector magnetic probe, with an equivalent current noise below 16 pA/Hz1/2. The mother board is designed with a 10 × 20 cm2 printed-circuit-board, and the daughter board has a 5.7 × 23.3 cm2 dimension. The hardware platform has been implemented on the quantum diamond magnetic gradiometer, and the mother-daughter board architecture has an advantage in channel-scalable capacity. This study has a bright future to be applied in the quantum engineering applications that require expandable multi-channel signal readout.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

ZHANG et al. (2026) studied this question.

synapsesocial.com/papers/69a91dd2d6127c7a504c113ahttps://doi.org/10.1063/5.0315817
Ask AI
Helpful
Bookmark
Share
View Full Paper