Non-Hermitian sensing in the absence of exceptional points
- URL: http://arxiv.org/abs/2403.08218v1
- Date: Wed, 13 Mar 2024 03:32:23 GMT
- Title: Non-Hermitian sensing in the absence of exceptional points
- Authors: Lei Xiao and Yaoming Chu and Quan Lin and Haiqing Lin and Wei Yi and
Jianming Cai and Peng Xue
- Abstract summary: We experimentally demonstrate universal non-Hermitian sensing in the absence of exceptional points.
The scheme makes use of the intrinsic sensitivity of a non-Hermitian probe to weak external fields, which can be understood as the direct consequence of non-Hermiticity.
Our experiment opens the avenue of enhanced sensing without exceptional points, complementing existing efforts aimed at harnessing the unique features of open systems.
- Score: 9.295592980136904
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Open systems possess unique potentials in high-precision sensing, yet the
majority of previous studies rely on the spectral singularities known as
exceptional points. Here we theoretically propose and experimentally
demonstrate universal non-Hermitian sensing in the absence of exceptional
points. The scheme makes use of the intrinsic sensitivity of a non-Hermitian
probe to weak external fields, which can be understood as the direct
consequence of non-Hermiticity. We confirm the basic mechanism by simulating
the sensor-field dynamics using photon interferometry, and, as a concrete
example, demonstrate the enhanced sensing of signals encoded in the setting
angle of a wave plate. While the sensitivity of the probe is ultimately limited
by the measurement noise, we find the non-Hermitian sensor showing superior
performance under background noises that cannot be suppressed through
repetitive measurements. Our experiment opens the avenue of enhanced sensing
without exceptional points, complementing existing efforts aimed at harnessing
the unique features of open systems.
Related papers
- Exceptional-point Sensors Offer No Fundamental Signal-to-Noise Ratio
Enhancement [0.0]
We show that an EP sensor's imprecision in measuring a generalized force is independent of its operating point's proximity to the EP.
We outline an EP sensor with phase-sensitive gain that does have an advantage even if limited by fundamental noises.
arXiv Detail & Related papers (2024-01-09T21:16:30Z) - Fundamental sensitivity limit of lossy cavity-enhanced interferometers
with external and internal squeezing [0.0]
Gravitational-wave detectors have been very successful in implementing cavities and quantum squeezed light for enhancing sensitivity to signals from black hole or neutron star mergers.
Here, we derive the fundamental sensitivity limit of cavity and squeezed-light enhanced interferometers with optical loss.
We demonstrate the application of internal squeezing to various scenarios and confirm that it indeed allows to reach the best sensitivity in cavity and squeezed-light enhanced linear force sensors.
arXiv Detail & Related papers (2023-07-18T10:27:39Z) - Entanglement-Enhanced Optomechanical Sensing [2.152481479747191]
Optomechanical systems have been exploited in ultrasensitive measurements of force, acceleration, and magnetic fields.
We show that joint force measurements taken with entangled probes on multiple optomechanical sensors can improve the bandwidth in the thermal-noise-dominant regime.
The demonstrated entanglement-enhanced optomechanical sensing could enable new capabilities for inertial navigation, acoustic imaging, and searches for new physics.
arXiv Detail & Related papers (2022-10-28T14:51:16Z) - Toward deep-learning-assisted spectrally-resolved imaging of magnetic
noise [52.77024349608834]
We implement a deep neural network to efficiently reconstruct the spectral density of the underlying fluctuating magnetic field.
These results create opportunities for the application of machine-learning methods to color-center-based nanoscale sensing and imaging.
arXiv Detail & Related papers (2022-08-01T19:18:26Z) - Enhancing the sensitivity of nonlinearity sensors through homodyne
detection in dissipatively coupled systems [0.6326688788147445]
We propose a new sensing mechanism to enhance the sensitivity of a quantum system to nonlinearities by homodyning the amplitude quadrature of the cavity field.
We find that this singularity is very sensitive to the two-photon drive and nonlinearity of the system, and compared to the previous nonlinearity sensor, the proposed sensor achieves an unprecedented sensitivity around the singularity point.
arXiv Detail & Related papers (2022-07-19T13:19:26Z) - Tunneling Gravimetry [58.80169804428422]
We examine the prospects of utilizing matter-wave Fabry-P'erot interferometers for enhanced inertial sensing applications.
Our study explores such tunneling-based sensors for the measurement of accelerations in two configurations.
arXiv Detail & Related papers (2022-05-19T09:22:11Z) - A background-free optically levitated charge sensor [50.591267188664666]
We introduce a new technique to model and eliminate dipole moment interactions limiting the performance of sensors employing levitated objects.
As a demonstration, this is applied to the search for unknown charges of a magnitude much below that of an electron.
As a by-product of the technique, the electromagnetic properties of the levitated objects can also be measured on an individual basis.
arXiv Detail & Related papers (2021-12-20T08:16:28Z) - Investigation and comparison of measurement schemes in the low frequency
biosensing regime using solid-state defect centers [58.720142291102135]
Solid state defects in diamond make promising quantum sensors with high sensitivity andtemporal resolution.
Inhomogeneous broadening and drive amplitude variations have differing impacts on the sensitivity depending on the sensing scheme used.
We numerically investigate and compare the predicted sensitivity of schemes based on continuous-wave (CW) optically detected magnetic resonance (ODMR) spectroscopy, pi-pulse ODMR and Ramsey interferometry.
arXiv Detail & Related papers (2021-09-27T13:05:23Z) - Bayesian Autoencoders for Drift Detection in Industrial Environments [69.93875748095574]
Autoencoders are unsupervised models which have been used for detecting anomalies in multi-sensor environments.
Anomalies can come either from real changes in the environment (real drift) or from faulty sensory devices (virtual drift)
arXiv Detail & Related papers (2021-07-28T10:19:58Z) - Exceptional precision of a nonlinear optical sensor at a square-root
singularity [0.0]
We propose a single-mode Kerr-nonlinear resonator for exceptional sensing in noisy environments.
Our sensor has a signal-to-noise ratio that increases with the measurement speed, and a precision enhanced at the square-root singularity.
Remarkably, averaging the signal can quickly enhance and then degrade the precision.
arXiv Detail & Related papers (2021-07-02T22:10:36Z) - Pure Exploration in Kernel and Neural Bandits [90.23165420559664]
We study pure exploration in bandits, where the dimension of the feature representation can be much larger than the number of arms.
To overcome the curse of dimensionality, we propose to adaptively embed the feature representation of each arm into a lower-dimensional space.
arXiv Detail & Related papers (2021-06-22T19:51:59Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.