Ultra-sensitive integrated circuit sensors based on high-order nonHermitian topological physics
- URL: http://arxiv.org/abs/2501.11348v2
- Date: Tue, 11 Feb 2025 10:21:35 GMT
- Title: Ultra-sensitive integrated circuit sensors based on high-order nonHermitian topological physics
- Authors: Wenyuan Deng, Wei Zhu, Tian Chen, Houjun Sun, Xiangdong Zhang,
- Abstract summary: The frequency shift induced by perturbations for these sensors can show an exponential growth with respect to the size of the device.
The sensitivity of systems not only less than 0.001fF has been experimentally verified, they are also robust against disorders.
- Score: 7.956560058549651
- License:
- Abstract: High-precision sensors are of fundamental importance in modern society and technology.Although numerous sensors have been developed, obtaining sensors with higher levels of sensitivity and stronger robustness has always been expected. Here, we propose theoretically and demonstrate experimentally a novel class of sensors with superior performances based on exotic properties of highorder non-Hermitian topological physics. The frequency shift induced by perturbations for these sensors can show an exponential growth with respect to the size of the device, which can well beyond the limitations of conventional sensors. The fully integrated circuit chips have been designed and fabricated in a standard 65nm complementary metal oxide semiconductor process technology. The sensitivity of systems not only less than 0.001fF has been experimentally verified, they are also robust against disorders.Our proposed ultra-sensitive integrated circuit sensors can possess a wide range of applications in various fields and show an exciting prospect for next-generation sensing technologies.
Related papers
- MSSIDD: A Benchmark for Multi-Sensor Denoising [55.41612200877861]
We introduce a new benchmark, the Multi-Sensor SIDD dataset, which is the first raw-domain dataset designed to evaluate the sensor transferability of denoising models.
We propose a sensor consistency training framework that enables denoising models to learn the sensor-invariant features.
arXiv Detail & Related papers (2024-11-18T13:32:59Z) - Digitizing Touch with an Artificial Multimodal Fingertip [51.7029315337739]
Humans and robots both benefit from using touch to perceive and interact with the surrounding environment.
Here, we describe several conceptual and technological innovations to improve the digitization of touch.
These advances are embodied in an artificial finger-shaped sensor with advanced sensing capabilities.
arXiv Detail & Related papers (2024-11-04T18:38:50Z) - Quantum Force Sensing by Digital Twinning of Atomic Bose-Einstein Condensates [2.916921958708415]
We propose a data-driven approach that harnesses the capabilities of machine learning to augment weak-signal detection sensitivity.
In an atomic force sensor, our method combines a digital replica of force-free data with anomaly detection technique.
Our findings demonstrate a significant advancement in sensitivity, achieving an order of magnitude improvement over conventional protocols.
arXiv Detail & Related papers (2023-07-02T06:10:00Z) - 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) - Report of the Topical Group on Quantum Sensors for Snowmass 2021 [0.0]
We provide a summary of key quantum sensors technologies - interferometers, optomechanics, and clocks; spin dependent sensors; superconducting sensors; and quantum calorimeters.
We also provide a set of key messages intended to further advance the state of quantum sensors used for high energy physics specific applications.
arXiv Detail & Related papers (2022-08-28T23:37:56Z) - Learning Online Multi-Sensor Depth Fusion [100.84519175539378]
SenFuNet is a depth fusion approach that learns sensor-specific noise and outlier statistics.
We conduct experiments with various sensor combinations on the real-world CoRBS and Scene3D datasets.
arXiv Detail & Related papers (2022-04-07T10:45:32Z) - 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) - Real-time detection of uncalibrated sensors using Neural Networks [62.997667081978825]
An online machine-learning based uncalibration detector for temperature, humidity and pressure sensors was developed.
The solution integrates an Artificial Neural Network as main component which learns from the behavior of the sensors under calibrated conditions.
The obtained results show that the proposed solution is able to detect uncalibrations for deviation values of 0.25 degrees, 1% RH and 1.5 Pa, respectively.
arXiv Detail & Related papers (2021-02-02T15:44:39Z) - Integrated and portable magnetometer based on nitrogen-vacancy ensembles
in diamond [0.0]
Negatively charged nitrogen-vacancy centers in diamond have emerged as a promising high sensitivity platform for measuring magnetic fields at room temperature.
Here, we demonstrate a fiber-based NV magnetometer featuring a complete integration of all functional components without using any bulky laboratory equipment.
arXiv Detail & Related papers (2020-12-02T09:49:23Z) - High-accuracy inertial measurements with cold-atom sensors [0.0]
The research on cold-atom interferometers gathers a large community of about 50 groups worldwide.
This review presents the evolution of the field over the last 30 years and focuses on the acceleration of the research effort in the last 10 years.
arXiv Detail & Related papers (2020-03-27T16:27:51Z) - OmniTact: A Multi-Directional High Resolution Touch Sensor [109.28703530853542]
Existing tactile sensors are either flat, have small sensitive fields or only provide low-resolution signals.
We introduce OmniTact, a multi-directional high-resolution tactile sensor.
We evaluate the capabilities of OmniTact on a challenging robotic control task.
arXiv Detail & Related papers (2020-03-16T01:31:29Z)
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.