Exceptional Point-Driven Multi-Channel Electron Spin Polarization

Atomic magnetometers (AMs) are among the most promising platforms for ultrasensitive magnetic field detection, achieving femtotesla-level sensitivity in compact, portable architectures. Multichannel magnetic-field measurements within a single vapor cell are intrinsically limited by nonuniform optical pumping, which leads to inconsistent channel responses and degraded spatial resolution. Here, we introduce a novel planar antenna approach based on exceptional-point (EP) that generates an intrinsically uniform, strongly confined radiation field resonant with the 87Rb D1 transition. By exploiting the non-Hermitian modal dynamics near EPs in the antenna bandstructure, specifically engineered silicon nitride antennas generate spatially uniform and confined optical fields, enabling submillimeter-resolution optical pumping within a miniature vapor cell. In particular, simulations demonstrate that rectangular-etched and laterally homogeneous dielectric antennas reduce the interchannel nonuniformity by nearly an order of magnitude, relative to conventional Gaussian pumping. This method combines the unique physics of EPs with the scalability of planar photonics, potentially offering a new route toward compact, high-spatial-resolution atomic sensor arrays and highlighting the potential for future integrated photonic platforms for precise, multichannel magnetic signal readout.

Authors

Institutions

Publication Details

Journal
ACS Photonics
Published
2026-02-03
DOI
https://doi.org/10.1021/acsphotonics.5c02577
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exceptional Point-Driven Multi-Channel Electron Spin Polarization

Yuting Xu, Xinran Su, Zhen Chai
ACS Photonics
Atomic and Subatomic Physics Research
article

Exceptional Point-Driven Multi-Channel Electron Spin Polarization

Yuting Xu, Xinran Su, Zhen Chai
article en

Abstract

Atomic magnetometers (AMs) are among the most promising platforms for ultrasensitive magnetic field detection, achieving femtotesla-level sensitivity in compact, portable architectures. Multichannel magnetic-field measurements within a single vapor cell are intrinsically limited by nonuniform optical pumping, which leads to inconsistent channel responses and degraded spatial resolution. Here, we introduce a novel planar antenna approach based on exceptional-point (EP) that generates an intrinsically uniform, strongly confined radiation field resonant with the 87Rb D1 transition. By exploiting the non-Hermitian modal dynamics near EPs in the antenna bandstructure, specifically engineered silicon nitride antennas generate spatially uniform and confined optical fields, enabling submillimeter-resolution optical pumping within a miniature vapor cell. In particular, simulations demonstrate that rectangular-etched and laterally homogeneous dielectric antennas reduce the interchannel nonuniformity by nearly an order of magnitude, relative to conventional Gaussian pumping. This method combines the unique physics of EPs with the scalability of planar photonics, potentially offering a new route toward compact, high-spatial-resolution atomic sensor arrays and highlighting the potential for future integrated photonic platforms for precise, multichannel magnetic signal readout.

ACS PhotonicsVol. 13(4)
Hefei University (CN), Quantum Technology Sciences (United States) (US), Quantum Technologies (Sweden) (SE), Beihang University (CN)
Openalex Percentile: Top 66%
Atomic and Subatomic Physics Research
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.