Analytical performance evaluation of quantum radar architectures: From single-photon to entangled-noise radars

• URL: http://arxiv.org/abs/2606.10436v1
• Date: Tue, 09 Jun 2026 05:23:33 GMT
• Title: Analytical performance evaluation of quantum radar architectures: From single-photon to entangled-noise radars
• Abstract summary: This article presents a comprehensive analysis of two classes of quantum radars, including quantum direct-detection and quantum-entangled noise radars.<n>In the first case, we investigated the performance of single-photon radars, in which state-of-the-art single microwave-photon detectors are employed.<n>We showed that, with the current technology, implementing a quantum-entangled noise radar with the maximum detection range on the order of few kilometers is possible.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This article presents a comprehensive analysis of two classes of quantum radars, including quantum direct-detection and quantum-entangled noise radars. In the first case, inspired by the well-established concept of single-photon LiDARs, we investigated the performance of single-photon radars, in which state-of-the-art single microwave-photon detectors are employed to enhance the detection sensitivity and enable the detection of weaker signals. We derived analytical expressions for the maximum detection range of both classes of quantum radars in terms of the Lambert W function, by considering all relevant system, target, and environmental parameters. Our formulation facilitates direct comparison of noise radars with direct-detection radars and suggests that a quantum-entangled noise radar can be regarded as an enhanced direct-detection radar with an effective threshold signal-to-noise ratio. Furthermore, we applied this framework to classical-correlated noise radars and defined the parameter range enhancement factor (REF) to quantify the superiority of quantum-entangled noise radars over their classical counterparts. Moreover, we introduced a rule-of-thumb for approximating the REF. We also examined the influence of limitations imposed by various microwave detection technologies. Our analysis shows that the conventional antennas limit the potential benefits of quantum-entangled noise radar systems. We also demonstrated that the optimal detection method for these radars is a microwave detector based on a quantum transducer combined with a single optical-photon detector. We showed that, with the current technology, implementing a quantum-entangled noise radar with the maximum detection range on the order of few kilometers is possible. Finally, we explored the potential applications of quantum-entangled noise radars.

Related papers

• RadarSim: Simulating Single-Chip Radar via Multimodal Neural Fields [49.41438378775056]
  Radars are an ideal complement to cameras, with cameras offering fine angular resolution and radars providing metric depth and robustness under adverse weather.<n>RadarSim produces sharper geometry and Doppler range frames than radar-only reconstructions.
  arXiv  Detail & Related papers  (2026-05-25T21:03:40Z)
• Rydberg Atomic RF Sensor-based Quantum Radar [4.783866737406552]
  A Rydberg atom-based quantum radar employs optical readout via lasers and photon detectors instead of circuit-based receivers.<n>We derive the signal-to-noise ratio (SNR), compare it with classical radar, and estimate Doppler frequency.
  arXiv  Detail & Related papers  (2025-12-19T10:17:28Z)
• Quantum Radar: An Engineering Perspective [0.0]
  Quantum radar uses entanglement and quantum correlations to overcome the limitations of classical detection in noisy and lossy environments.<n>This review provides a comprehensive overview of the field, beginning with the theoretical foundations of quantum illumination.<n>We examine key quantum radar subsystems, including quantum transducers, amplification chains, and receiver architectures.
  arXiv  Detail & Related papers  (2025-10-12T16:57:40Z)
• Rydberg Atomic Quantum Receivers for Multi-Target DOA Estimation [77.32323151235285]
  Rydberg atomic quantum receivers (RAQRs) have emerged as a promising solution to classical wireless communication and sensing.<n>We first conceive a Rydberg atomic quantum uniform linear array (RAQ-ULA) aided wireless receiver for multi-target DOA detection and propose the corresponding signal model of this sensing system.<n>To solve this sensor gain mismatch problem, we propose the Rydberg atomic quantum ESPRIT (RAQ-ESPRIT) relying on our model.
  arXiv  Detail & Related papers  (2025-01-06T07:42:23Z)
• Long-Range Entangled Quantum Noise Radar Over Order of Kilometer [0.0]
  In this paper, an explicit expression for the maximum detection range of an entangled quantum two-mode squeezed (QTMS) radar has been derived.<n>We show that one can though a QTMS radar as a traditional radar with a reduced threshold signal-to-noise ratio.<n>It is possible to implement a QTMS radar with maximum detection range up to the order of $2mathrmkm$, which is suitable for recognizing small unmanned aerial vehicles in urban distances.
  arXiv  Detail & Related papers  (2024-06-15T07:13:42Z)
• On Target Detection by Quantum Radar (Preprint) [1.0878040851637998]
  Noise Radar and Quantum Radar exploit randomness of transmitted signal to enhance radar covertness and to reduce mutual interference. Various Quantum Radar proposals cannot lead to any useful result, especially, but not limited to, the alleged detection of stealth targets.
  arXiv  Detail & Related papers  (2024-02-29T18:58:40Z)
• Multi-stage Learning for Radar Pulse Activity Segmentation [51.781832424705094]
  Radio signal recognition is a crucial function in electronic warfare. Precise identification and localisation of radar pulse activities are required by electronic warfare systems. Deep learning-based radar pulse activity recognition methods have remained largely underexplored.
  arXiv  Detail & Related papers  (2023-12-15T01:56:27Z)
• Entanglement-assisted multi-aperture pulse-compression radar for angle resolving detection [5.109700506364796]
  Entanglement has been known to boost target detection, despite it being destroyed by lossy-noisy propagation. We propose a quantum pulse-compression radar to extend entanglement's benefit to target range estimation.
  arXiv  Detail & Related papers  (2022-07-22T05:22:50Z)
• Mid-infrared homodyne balanced detector for quantum light characterization [52.77024349608834]
  We present the characterization of a novel balanced homodyne detector operating in the mid-infrared. We discuss the experimental results with a view to possible applications to quantum technologies, such as free-space quantum communication.
  arXiv  Detail & Related papers  (2021-03-16T11:08:50Z)
• Depth Estimation from Monocular Images and Sparse Radar Data [93.70524512061318]
  In this paper, we explore the possibility of achieving a more accurate depth estimation by fusing monocular images and Radar points using a deep neural network. We find that the noise existing in Radar measurements is one of the main key reasons that prevents one from applying the existing fusion methods. The experiments are conducted on the nuScenes dataset, which is one of the first datasets which features Camera, Radar, and LiDAR recordings in diverse scenes and weather conditions.
  arXiv  Detail & Related papers  (2020-09-30T19:01:33Z)
• RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects [73.80316195652493]
  We tackle the problem of exploiting Radar for perception in the context of self-driving cars. We propose a new solution that exploits both LiDAR and Radar sensors for perception. Our approach, dubbed RadarNet, features a voxel-based early fusion and an attention-based late fusion.
  arXiv  Detail & Related papers  (2020-07-28T17:15:02Z)

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.