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Micro- and Nano-Sensors at Exceptional Points
Zhilu Ye1, Minye Yang2, Pai-Yen Chen3
1Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Small Methods
|August 13, 2026
Summary
Sensing systems can achieve ultra-high sensitivity by utilizing exceptional points (EPs) in non-Hermitian physics. This approach overcomes the limitations of traditional linear responses, enabling significant advancements in sensor technology.
Area of Science:
- Physics
- Engineering
- Materials Science
Background:
- Sensing systems are critical in physics and engineering, often pushed to performance limits.
- Conventional sensing, like Fabry-Pérot cavities, has linear responses limiting resolution.
- Non-Hermitian systems operating at exceptional points (EPs) offer enhanced sensitivity.
Purpose of the Study:
- To provide a comprehensive overview of exceptional point (EP)-based sensing systems.
- To cover theoretical fundamentals, representative realizations, and practical implementation advances.
- To highlight the potential of non-Hermitian physics for the broader sensing community.
Main Methods:
- Review of theoretical frameworks for non-Hermitian sensing at EPs.
- Analysis of diverse experimental realizations of EP-based sensors.
- Discussion of recent practical advancements and challenges in microsystem technologies.
Main Results:
- EPs enable Nth-root spectral response, significantly boosting sensitivity in weak-perturbation regimes.
- Non-Hermitian platforms offer a paradigm shift from conventional Hermitian systems.
- Demonstrated potential for enhanced resolution and performance in extreme sensing scenarios.
Conclusions:
- Non-Hermitian physics, particularly EPs, provides a powerful new direction for enhanced sensing.
- This approach can revolutionize sensing technologies from fundamental theory to real-world applications.
- Further exploration of EP-based systems promises significant innovation in microsystem technologies.
