Correlated sensing with a solid-state quantum multi-sensor system for atomic-scale structural analysis

• URL: http://arxiv.org/abs/2401.02128v1
• Date: Thu, 4 Jan 2024 08:26:20 GMT
• Title: Correlated sensing with a solid-state quantum multi-sensor system for atomic-scale structural analysis
• Authors: Wentao Ji, Zhaoxin Liu, Yuhang Guo, Zhihao Hu, Jingyang Zhou, Siheng Dai, Yu Chen, Pei Yu, Mengqi Wang, Kangwei Xia, Fazhan Shi, Ya Wang and Jiangfeng Du
• Abstract summary: We develop a novel sensing paradigm exploiting the signal correlation among multiple quantum sensors. With three nitrogen-vacancy centers as a quantum electrometer system, we demonstrate this multi-sensor paradigm. We obtain the real-time charge dynamics of individual point defects and visualize how the dynamics induce the well-known optical spectral diffusion.
• Score: 14.301219154831964
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Developing superior quantum sensing strategies ranging from ultra-high precision measurement to complex structural analysis is at the heart of quantum technologies. While strategies using quantum resources, such as entanglement among sensors, to enhance the sensing precision have been abundantly demonstrated, the signal correlation among quantum sensors is rarely exploited. Here we develop a novel sensing paradigm exploiting the signal correlation among multiple quantum sensors to resolve overlapping signals from multiple targets that individual sensors can't resolve and complex structural construction struggles with. With three nitrogen-vacancy centers as a quantum electrometer system, we demonstrate this multi-sensor paradigm by resolving individual defects' fluctuating electric fields from ensemble signals. We image the three-dimensional distribution of 16 dark electronic point-defects in diamond with accuracy approaching 1.7 nm via a GPS-like localization method. Furthermore, we obtain the real-time charge dynamics of individual point defects and visualize how the dynamics induce the well-known optical spectral diffusion. The multi-sensor paradigm extends the quantum sensing toolbox and offers new possibilities for structural analysis.

Related papers

• Eliminating Incoherent Noise: A Coherent Quantum Approach in Multi-Sensor Dark Matter Detection [6.685649498751827]
  We propose a novel dark matter detection scheme by leveraging quantum coherence across a network of multiple quantum sensors. This method effectively eliminates incoherent background noise, thereby significantly enhancing detection sensitivity. We present a comprehensive analytical analysis and complement it with practical numerical simulations.
  arXiv  Detail & Related papers  (2024-10-29T18:00:03Z)
• Optical Quantum Sensing for Agnostic Environments via Deep Learning [59.088205627308]
  We introduce an innovative Deep Learning-based Quantum Sensing scheme. It enables optical quantum sensors to attain Heisenberg limit (HL) in agnostic environments. Our findings offer a new lens through which to accelerate optical quantum sensing tasks.
  arXiv  Detail & Related papers  (2023-11-13T09:46:05Z)
• Parallel Quantum-Enhanced Sensing [1.698844240022881]
  We show that it is possible to measure local changes in refractive index for all four sensors with a quantum enhancement in sensitivity in the range of $22%$ to $24%$ over the corresponding classical configuration. Results provide a first step towards highly parallel spatially resolved quantum-enhanced sensing techniques.
  arXiv  Detail & Related papers  (2023-11-02T19:29:51Z)
• Optimal and Variational Multi-Parameter Quantum Metrology and Vector Field Sensing [0.0]
  We study multi- parameter sensing of 2D and 3D vector fields within the Bayesian framework for $SU(2)$ quantum interferometry. We present sensors that have limited entanglement capabilities, and yet, significantly outperform sensors that operate without entanglement.
  arXiv  Detail & Related papers  (2023-02-15T17:12:38Z)
• Neural networks for Bayesian quantum many-body magnetometry [0.0]
  Entangled quantum many-body systems can be used as sensors that enable the estimation of parameters with a precision larger than that achievable with ensembles of individual quantum detectors. This entails a complexity that can hinder the applicability of Bayesian inference techniques. We show how to circumvent these issues by using neural networks that faithfully reproduce the dynamics of quantum many-body sensors.
  arXiv  Detail & Related papers  (2022-12-22T22:13:49Z)
• Trapped-Ion Quantum Simulation of Collective Neutrino Oscillations [55.41644538483948]
  We study strategies to simulate the coherent collective oscillations of a system of N neutrinos in the two-flavor approximation using quantum computation. We find that the gate complexity using second order Trotter- Suzuki formulae scales better with system size than with other decomposition methods such as Quantum Signal Processing.
  arXiv  Detail & Related papers  (2022-07-07T09:39:40Z)
• Tunable photon-mediated interactions between spin-1 systems [68.8204255655161]
  We show how to harness multi-level emitters with several optical transitions to engineer photon-mediated interactions between effective spin-1 systems. Our results expand the quantum simulation toolbox available in cavity QED and quantum nanophotonic setups.
  arXiv  Detail & Related papers  (2022-06-03T14:52:34Z)
• Sensing quantum chaos through the non-unitary geometric phase [62.997667081978825]
  We propose a decoherent mechanism for sensing quantum chaos. The chaotic nature of a many-body quantum system is sensed by studying the implications that the system produces in the long-time dynamics of a probe coupled to it.
  arXiv  Detail & Related papers  (2021-04-13T17:24:08Z)
• Exploring complex graphs using three-dimensional quantum walks of correlated photons [52.77024349608834]
  We introduce a new paradigm for the direct experimental realization of excitation dynamics associated with three-dimensional networks. This novel testbed for the experimental exploration of multi-particle quantum walks on complex, highly connected graphs paves the way towards exploiting the applicative potential of fermionic dynamics in integrated quantum photonics.
  arXiv  Detail & Related papers  (2020-07-10T09:15:44Z)
• Hyperentanglement in structured quantum light [50.591267188664666]
  Entanglement in high-dimensional quantum systems, where one or more degrees of freedom of light are involved, offers increased information capacities and enables new quantum protocols. Here, we demonstrate a functional source of high-dimensional, noise-resilient hyperentangled states encoded in time-frequency and vector-vortex structured modes. We generate highly entangled photon pairs at telecom wavelength that we characterise via two-photon interference and quantum state tomography, achieving near-unity visibilities and fidelities.
  arXiv  Detail & Related papers  (2020-06-02T18:00:04Z)
• On the capability of a class of quantum sensors [10.894655702718783]
  We investigate the capability of a class of quantum sensors which consist of either a single qubit or two qubits. A quantum sensor is coupled to a spin chain system to extract information of unknown parameters in the system.
  arXiv  Detail & Related papers  (2020-03-19T10:56:08Z)

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.