Stability optimization based on high-resolution spatial thermal distribution of a single <sup>174</sup>Yb<sup>+</sup> ion

Trapped ion systems play a vital role in fields such as quantum information processing and optical frequency standards. Low-energy, highly stable trapped ions enable precise quantum manipulation and significantly reduce Doppler effect. However, ion heating presents a major challenge to maintaining such stability. In our work, a high-magnification optical imaging system is employed to achieve micron-level resolution imaging of a single <sup>174</sup>Yb<sup>+</sup> ion crystal. By analyzing the ion's spatial thermal distribution and applying an adaptive Gaussian filtering technique, the root mean square linewidth is accurately extracted, enabling accurate temperature measurements. Experimentally, the temperature (or energy) of a single <sup>174</sup>Yb<sup>+</sup> ion is progressively reduced from 1 400 mK to 260 mK. Various heating mechanisms become increasingly apparent as the ion temperature decreases. These findings provide a foundation for further optimization of ion stability. This study not only presents a practical approach for evaluating and reducing the temperature of trapped ions, thereby improving their stability, but also paves the way for exploring other ion heating effects.

Authors

Publication Details

Journal
JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING
Published
2025-05-01
DOI
https://doi.org/10.3724/sp.j.1249.2025.03357
Primary Topic
Chemical Thermodynamics and Molecular Structure
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stability optimization based on high-resolution spatial thermal distribution of a single &lt;sup&gt;174&lt;/sup&gt;Yb&lt;sup&gt;+&lt;/sup&gt; ion

Hong-Qing Niu, Zehuan Huang, Pengcheng Zheng, Qing Huang et al.
JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING
Chemical Thermodynamics and Molecular Structure
article

Stability optimization based on high-resolution spatial thermal distribution of a single &lt;sup&gt;174&lt;/sup&gt;Yb&lt;sup&gt;+&lt;/sup&gt; ion

Hong-Qing Niu, Zehuan Huang, Pengcheng Zheng, Qing Huang, Shanyong Zhang, Pei‐Liang Liu
article en

Abstract

Trapped ion systems play a vital role in fields such as quantum information processing and optical frequency standards. Low-energy, highly stable trapped ions enable precise quantum manipulation and significantly reduce Doppler effect. However, ion heating presents a major challenge to maintaining such stability. In our work, a high-magnification optical imaging system is employed to achieve micron-level resolution imaging of a single <sup>174</sup>Yb<sup>+</sup> ion crystal. By analyzing the ion's spatial thermal distribution and applying an adaptive Gaussian filtering technique, the root mean square linewidth is accurately extracted, enabling accurate temperature measurements. Experimentally, the temperature (or energy) of a single <sup>174</sup>Yb<sup>+</sup> ion is progressively reduced from 1 400 mK to 260 mK. Various heating mechanisms become increasingly apparent as the ion temperature decreases. These findings provide a foundation for further optimization of ion stability. This study not only presents a practical approach for evaluating and reducing the temperature of trapped ions, thereby improving their stability, but also paves the way for exploring other ion heating effects.

JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERINGVol. 42(3)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 90%
Chemical Thermodynamics and Molecular Structure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.