Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34029
Title: Benchmark for Synthesized Diamond Sensors Based on Isotopically Engineered Nitrogen-Vacancy Spin Ensembles for Magnetometry Applications
Authors: Osterkamp, C
Balasubramanian, P
Wolff, G
Teraji, T
NESLADEK, Milos 
Jelezko, F
Issue Date: 2020
Publisher: WILEY
Source: ADVANCED QUANTUM TECHNOLOGIES, 3 (9) (Art N° 2000074)
Abstract: Nitrogen-vacancy (NV) center ensemble in synthetic diamond is a promising and emerging platform for quantum sensing technologies. Realization of such a solid-state based quantum sensor is widely studied and requires reproducible manufacturing of NV centers with controlled spin properties, including the spin bath environment within the diamond crystal. Here, a non-invasive method is reported to benchmark NV ensembles regarding their suitability as ultra-sensitive magnetic field sensors. Imaging and electron spin resonance techniques are presented to determine operating figures and precisely define the optimal material for NV-driven diamond engineering. The functionality of the methods is manifested on examples of chemical vapor deposition synthesized diamond layers containing preferentially aligned, isotopically controlled(15)NV center ensembles. Quantification of the limiting(15)N P1 spin bath, in an otherwise(12)C enriched environment, and the reduction of its influence by applying dynamical decoupling protocols, complete the suggested set of criteria for the analysis of NV ensemble with potential use as magnetometers.
Keywords: CVD diamond growth;nitrogen-vacancy centers;preferential alignment;quantum sensing
Document URI: http://hdl.handle.net/1942/34029
DOI: 10.1002/qute.202000074
ISI #: WOS:000566009800001
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
qute.202000074.pdfPublished version822.35 kBAdobe PDFView/Open
Show full item record

WEB OF SCIENCETM
Citations

14
checked on May 4, 2024

Page view(s)

32
checked on Jun 28, 2022

Download(s)

2
checked on Jun 28, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.