Hyperpolarized relaxometry based nuclear T1 noise spectroscopy in diamond

Authors

A. Ajoy, University of California, Berkeley
B. Safvati, University of California, Berkeley
R. Nazaryan, University of California, Berkeley
J. T. Oon, University of California, Berkeley
B. Han, University of California, Berkeley
P. Raghavan, University of California, Berkeley
R. Nirodi, University of California, Berkeley
A. Aguilar, University of California, Berkeley
K. Liu, University of California, Berkeley
X. Cai, University of California, Berkeley
X. Lv, University of California, Berkeley
E. Druga, University of California, Berkeley
C. Ramanathan, Dartmouth College
J. A. Reimer, University of California, Berkeley
C. A. Meriles, CUNY Graduate CenterFollow
D. Suter, Technische Universität Dortmund
A. Pines, University of California, Berkeley

Document Type

Article

Publication Date

11-2019

Abstract

The origins of spin lifetimes in quantum systems is a matter of importance in several areas of quantum information. Spectrally mapping spin relaxation processes provides insight into their origin and motivates methods to mitigate them. In this paper, we map nuclear relaxation in a prototypical system of ¹³C nuclei in diamond coupled to Nitrogen Vacancy (NV) centers over a wide field range (1 mT-7 T). Nuclear hyperpolarization through optically pumped NV electrons allows signal measurement savings exceeding million-fold over conventional methods. Through a systematic study with varying substitutional electron (P1 center) and ¹³C concentrations, we identify the operational relaxation channels for the nuclei at different fields as well as the dominant role played by ¹³C coupling to the interacting P1 electronic spin bath. These results motivate quantum control techniques for dissipation engineering to boost spin lifetimes in diamond, with applications including engineered quantum memories and hyperpolarized ¹³C imaging.

Comments

This article was originally published in Nature Communications available at https://doi.org/10.1038/s41467-019-13042-3

This work is distributed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).