Scalable surface ion trap design for magnetic quantum sensing and gradiometry

TL;DR

This paper introduces a scalable surface ion trap design that enhances magnetic quantum sensing and gradiometry by enabling ultra-sensitive, high-resolution magnetic field measurements using trapped ions.

Contribution

The paper presents an innovative surface Paul trap architecture with multiple trapping regions for improved magnetic sensing and field mapping capabilities.

Findings

Enables detection of magnetic fields in the pT to sub-pT range.

Allows mapping of magnetic field gradients at sub-millimeter resolution.

Demonstrates advanced ion manipulation and confinement techniques.

Abstract

Magnetic quantum sensors based on trapped ions utilize properties of quantum mechanics which have optimized precision and beat current limits in sensor technology. Trapped ions are highly sensitive in a large span of signal ranging from DC or static B-field to the radiofrequency range in 100s of MHz and can attain the sensitivity in the range of pT to sub pT . They are tuneable to frequencies of interest and can be used as a lock-in frequency detector. This modelling and simulation based study presents an innovative design of Surface Paul Traps, enabling the use of trapped ions as ultra-sensitive sensors for magnetic field detection and precise measurement of magnetic field gradients at a sub-millimeter spatial resolution. The novel design features multiple trapping regions, allowing for the mapping of magnetic fields across various ion-trapping zones. The study demonstrates groundbreaking advancements in ion manipulation and confinement through innovative chip architecture.