Relevant bibliographies by topics / Quantum radar

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Quantum radar'

Author: Grafiati
Published: 13 December 2023

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Journal articles on the topic "Quantum radar"

1

Luong, David, Sreeraman Rajan, and Bhashyam Balaji. "Quantum Monopulse Radar." Applied Computational Electromagnetics Society 35, no. 11 (February 5, 2021): 1430–32. http://dx.doi.org/10.47037/2020.aces.j.351184.

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We evaluate the feasibility of a quantum monopulse radar, focusing on quantum illumination (QI) radars and quantum two-mode squeezing (QTMS) radars. Based on their similarity with noise radar, for which monopulse operation is known to be possible, we find that QTMS radars can be adapted into monopulse radars, but QI radars cannot. We conclude that quantum monopulse radars are feasible.
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Djordjevic, Ivan B. "On Entanglement-Assisted Multistatic Radar Techniques." Entropy 24, no. 7 (July 17, 2022): 990. http://dx.doi.org/10.3390/e24070990.

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Entanglement-based quantum sensors have much better sensitivity than corresponding classical sensors in a noisy and lossy regime. In our recent paper, we showed that the entanglement-assisted (EA) joint monostatic–bistatic quantum radar performs much better than conventional radars. Here, we propose an entanglement-assisted (EA) multistatic radar that significantly outperforms EA bistatic, coherent state-based quantum, and classical radars. The proposed EA multistatic radar employs multiple entangled transmitters performing transmit-side optical phase conjugation, multiple coherent detection-based receivers serving as EA detectors, and a joint detector.
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Lanzagorta, Marco. "Quantum Radar." Synthesis Lectures on Quantum Computing 3, no. 1 (October 31, 2011): 1–139. http://dx.doi.org/10.2200/s00384ed1v01y201110qmc005.

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Djordjevic, Ivan B. "Entanglement-Assisted Joint Monostatic-Bistatic Radars." Entropy 24, no. 6 (May 26, 2022): 756. http://dx.doi.org/10.3390/e24060756.

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With the help of entanglement, we can build quantum sensors with sensitivity better than that of classical sensors. In this paper we propose an entanglement assisted (EA) joint monostatic-bistatic quantum radar scheme, which significantly outperforms corresponding conventional radars. The proposed joint monostatic-bistatic quantum radar is composed of two radars, one having both wideband entangled source and EA detector, and the second one with only an EA detector. The optical phase conjugation (OPC) is applied on the transmitter side, while classical coherent detection schemes are applied in both receivers. The joint monostatic-bistatic integrated EA transmitter is proposed suitable for implementation in LiNbO3 technology. The detection probability of the proposed EA joint target detection scheme outperforms significantly corresponding classical, coherent states-based quantum detection, and EA monostatic detection schemes. The proposed EA joint target detection scheme is evaluated by modelling the direct radar return and forward scattering channels as both lossy and noisy Bosonic channels, and assuming that the distribution of entanglement over idler channels is not perfect.
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Norouzi, Milad, Jamileh Seyed-Yazdi, Seyed Mohammad Hosseiny, and Patrizia Livreri. "Investigation of the JPA-Bandwidth Improvement in the Performance of the QTMS Radar." Entropy 25, no. 10 (September 22, 2023): 1368. http://dx.doi.org/10.3390/e25101368.

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Josephson parametric amplifier (JPA) engineering is a significant component in the quantum two-mode squeezed radar (QTMS) to enhance, for instance, radar performance and the detection range or bandwidth. We simulated a proposal of using engineered JPA (EJPA) to enhance the performance of a QTMS radar. We defined the signal-to-noise ratio (SNR) and detection range equations of the QTMS radar. The engineered JPA led to a remarkable improvement in the quantum radar performance, i.e., a large enhancement in SNR of about 6 dB more than the conventional QTMS radar (with respect to the latest version of the QTMS radar and not to the classical radar), a substantial improvement in the probability of detection through far fewer channels. The important point in this work was that we expressed the importance of choosing suitable detectors for the QTMS radars. Finally, we simulated the transmission of the signal to the target in the QTMS radar and obtained a huge increase in the QTMS radar range, up to 482 m in the current study.
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Lu, Shaoze, Zhijun Meng, Jun Huang, Mingxu Yi, and Zeyang Wang. "Study on Quantum Radar Detection Probability Based on Flying-Wing Stealth Aircraft." Sensors 22, no. 16 (August 9, 2022): 5944. http://dx.doi.org/10.3390/s22165944.

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The development of quantum radar technology presents a challenge to stealth targets, so it is necessary to study the quantum detection probability. In this study, an analytical expression of the quantum radar cross section (QRCS) for complex targets is presented. Based on this QRCS expression, a calculation method for the detection probability for quantum radar is creatively proposed. Moreover, a self-designed flying-wing stealth aircraft is adopted to obtain the detection probability distributions of the conventional radar and the quantum radar in different directions. As revealed by the result of this study, the detection probabilities of the quantum radar and the conventional radar are significantly different, and the detection probability of the quantum radar has obvious advantages in most regions with a certain distance.
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Tian, Zhi-Fu, Di Wu, and Tao Hu. "Theoretical study of single-photon quantum radar cross-section of cylindrical curved surface." Acta Physica Sinica 71, no. 3 (2022): 034204. http://dx.doi.org/10.7498/aps.71.20211295.

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To examine the single-photon quantum radar cross-section of cylindrical surface and its specific advantages over the classical radar cross-section, a photon wave function in which the distance vectors causing interference are decomposed is introduced in this study. A closed-form expression of the single-photon quantum radar cross-section of cylindrical surface is derived. The influences of the length and curvature radius of cylindrical surfaces with different electrical sizes are analyzed, and the closed-form expressions of the quantum and classical radar cross-sections of cylindrical surface are compared with each other. The analyses of the closed-form expression and simulation results show that the electrical length of the cylindrical surface determines the number of side lobes of the quantum radar cross-section; meanwhile, the curvature radius has a linear relation with the overall strength of the quantum radar cross-section, and the electrical size of the curvature radius determines the envelope of the quantum radar cross-section curve. Compared with the classical radar cross-section, the quantum radar cross-section of a cylindrical surface has the advantage of side-lobe enhancement, which is beneficial for detecting stealth targets.
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Chang, C. W. Sandbo, A. M. Vadiraj, J. Bourassa, B. Balaji, and C. M. Wilson. "Quantum-enhanced noise radar." Applied Physics Letters 114, no. 11 (March 18, 2019): 112601. http://dx.doi.org/10.1063/1.5085002.

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Blakely, Jonathan N. "Bounds on Probability of Detection Error in Quantum-Enhanced Noise Radar." Quantum Reports 2, no. 3 (July 21, 2020): 400–413. http://dx.doi.org/10.3390/quantum2030028.

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Several methods for exploiting quantum effects in radar have been proposed, and some have been shown theoretically to outperform any classical radar scheme. Here, a model is presented of quantum-enhanced noise radar enabling a similar analysis. This quantum radar scheme has a potential advantage in terms of ease of implementation insofar as it requires no quantum memory. A significant feature of the model introduced is the inclusion of quantum noise consistent with the Heisenberg uncertainty principle applied to simultaneous determination of field quadratures. The model enables direct comparison to other quantum and classical radar schemes. A bound on the probability of an error in target detection is shown to match that of the optimal classical-state scheme. The detection error is found to be typically higher than for ideal quantum illumination, but orders of magnitude lower than for the most similar classical noise radar scheme.
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Kulshreshtha, Abhijit, and Abdulkareem Sh Mahdi Al-Obaidi. "Stealth Detection System via Multistage Radar and Quantum Radar." Indonesian Journal of Science and Technology 5, no. 3 (December 1, 2020): 470–86. http://dx.doi.org/10.17509/ijost.v5i3.26806.

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In today’s era of advanced weapons and technology development, many remarkable inventions have shifted the balance of war towards the strategically enhanced military equipped with tactical weapons and armaments. One of these strategic advancements is stealth technology due to which stealth aircraft are high in demand for the military. The question that rises is How to detect a stealth object? This paper proposes a novel anti-stealth technique using void detection, high frequency wave interference and neutrino beam propagation. Void detection method uses a modified satellite-based radar that searches for areas in the aerospace from which the transmitted signals sent to the ground receiving station are blocked or deflected. High frequency wave interference method is used to generate a stellar trajectory of the stealth aircraft at the detected void. Neutrino beam comprises of energy quanta mainly neutrinos, which are able to surpass the absorption or deflection systems in the stealth body of aircraft. This unique phenomenon produces a moving image, which is the precise location of the aircraft in the space. Using these methods, the trajectory of the aircraft is detected which ultimately leads to the detection of the stealth aircraft itself. The newly proposed methods which are theoretically more reliable than the existing methods may not have been tested but the method planning make them practically feasible considering that the technology used is a part of advanced engineering today.
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Dissertations / Theses on the topic "Quantum radar"

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Borderieux, Sylvain. "Apport de la théorie de l’information quantique dans la perspective du radar quantique." Electronic Thesis or Diss., Brest, École nationale supérieure de techniques avancées Bretagne, 2022. http://www.theses.fr/2022ENTA0011.

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Cette thèse propose une approche originale de la thématique du radar à illumination quantique en recourant à la théorie de l’information quantique pour étudier l’évolution des corrélations quantiques le long d’une chaîne radar. Ce mémoire propose d’abord un parallèle des différences et similitudes entre les théories du radar classique et du radar quantique en insistant sur les principes propres aux deux théories. Le radar à illumination quantique étudié utilise des paires de photons intriqués pour établir la présence ou l’absence d’un objet faiblement réfléchissant baigné dans un bruit thermique parasitant la détection. À partir de la mise en parallèle, les travaux se sont concentrés sur l’influence de l’environnement atmosphérique dans l’évolution de l’intrication du système de photons du radar et dans l’évolution des corrélations quantiques représentées par la discorde quantique. L’objectif des recherches était de montrer un lien entre la discorde quantique et la stratégie de détection binaire du radar quantique. Les résultats tendent à montrer ce lien même si des améliorations aux modèles composés pour l’étude seraient bienvenues. Cela permettrait notamment d’orienter la recherche vers des cas concrets pouvant bénéficier d’une application expérimentale du procédé d’illumination quantique
This thesis provides an original approach of the quantum illumination radar using the quantum information theory to study the evolution of quantum correlations in a radar system. We first propose a parallel between the classical radar theory and the quantum radar theory to determine similarities anf differences insisting on the last point. The quantum illumination radar uses pairs of entangled photons to detect the absence of the presence of a low-reflecting object into a bright thermal background that disturbs the detection. Using the parallel between the radar theories, research has been done on the atmospheric influence on the evolution of entanglement of the system of photons in the radar, and on the evolution of quantum correlations quantified by the quantum discord. The objective of research was to show a link between the quantum discord and the binary decision strategy of the quantum radar. Results suggest this link even if improvements should be required on the tested models. It should permit to study practical situations particularly if we think about a possible experiment on a quantum illumination protocol
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Books on the topic "Quantum radar"

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Lanzagorta, Marco. Quantum Radar. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-02515-0.

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Larsen, Reif. I am Radar. Toronto, Ontario, Canada: Hamish Hamilton, 2015.

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Boffin: A personal story of the early days of radar, radio astronomy, and quantum optics. Bristol: Adam Hilger, 1991.

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Brown, R. Hanbury. Boffin: A personal story of the early days of radar, radio astronomy, and quantum optics. Bristol: Institute of Physics Publishing, 2002.

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United States. National Aeronautics and Space Administration., ed. Analysis of measurements for solid state lidar development: Contract no. NAS8-38609 ... contract period: August 8,1994 - December 7, 1995. [Washington, DC: National Aeronautics and Space Administration, 1996.

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Quantum Radar. Morgan & Claypool, 2011.

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Lanzagorta, Marco. Quantum Radar. Morgan & Claypool Publishers, 2011.

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Lanzagorta, Marco. Quantum Radar. Springer International Publishing AG, 2011.

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Hirota, Osamu, ed. Quantum Communication, Quantum Radar, and Quantum Cipher. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-8561-1.

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Larsen, Reif. I Am Radar. Penguin Random House, 2015.

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Book chapters on the topic "Quantum radar"

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Durak, Kadir, Zeki Seskir, and Bulat Rami. "Quantum Radar." In Quantum Computing Environments, 125–65. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89746-8_4.

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Lanzagorta, Marco. "Quantum Radar Cross Section." In Quantum Radar, 129–51. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-02515-0_6.

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Lanzagorta, Marco. "Classical Radar Theory." In Quantum Radar, 61–88. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-02515-0_4.

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Lanzagorta, Marco. "Conclusions." In Quantum Radar, 152–54. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-02515-0_7.

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Lanzagorta, Marco. "Introduction." In Quantum Radar, 1–5. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-02515-0_1.

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Schempp, Walter. "Quantum Holography, Synthetic Aperture Radar Imaging and Computed Tomographic Imaging." In Quantum Measurements in Optics, 323–43. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3386-3_26.

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Marghany, Maged. "Quantum Interferometry Radar for Oil and Gas Explorations." In Remote Sensing and Image Processing in Mineralogy, 193–214. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003033776-9.

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Kay, Steven, and Muralidhar Rangaswamy. "The Ubiquitous Matched Filter: A Tutorial and Application to Radar Detection." In Classical, Semi-classical and Quantum Noise, 91–108. New York, NY: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-6624-7_8.

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Fang, Chonghua, Liang Hua, Shi Xinyang, Yang Xu, and Xianliang Zeng. "The Computation of Quantum Radar Cross Section for the Regular Five-Pointed Star." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 561–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90196-7_48.

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Zhang, Gexiang, Laizhao Hu, and Weidong Jin. "Quantum Computing Based Machine Learning Method and Its Application in Radar Emitter Signal Recognition." In Modeling Decisions for Artificial Intelligence, 92–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27774-3_10.

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Conference papers on the topic "Quantum radar"

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Lukin, Konstantin. "Quantum Radar vs Noise Radar." In 2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW). IEEE, 2016. http://dx.doi.org/10.1109/msmw.2016.7538137.

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Djordjevic, Ivan B. "Entanglement Assisted Bistatic Radars Outperforming Coherent States-based Quantum Radars." In Signal Processing in Photonic Communications. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/sppcom.2022.spw2j.4.

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We propose an entanglement assisted bistatic radar employing the optical phase conjugation on transmitter side and classical coherent detection on receiver side, which significantly outperforms corresponding classical and coherent states-based quantum radars.
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Luong, David, Sreeraman Rajan, and Bhashyam Balaji. "Quantum Monopulse Radar." In 2020 International Applied Computational Electromagnetics Society Symposium (ACES). IEEE, 2020. http://dx.doi.org/10.23919/aces49320.2020.9196136.

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Bourassa, Jerome, and Christopher M. Wilson. "Amplification Requirements For Quantum Radar Signals." In 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114574.

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Liu, Han, Amr Helmy, and Bhashyam Balaji. "Inspiring radar from quantum-enhanced lidar." In 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114825.

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Lukin, Konstantin. "Quantum Radar and Noise Radar Concepts." In 2021 IEEE Radar Conference (RadarConf21). IEEE, 2021. http://dx.doi.org/10.1109/radarconf2147009.2021.9455276.

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Mogilevtsev, D., I. Peshko, I. Karuseichyk, A. Mikhalychev, A. P. Nizovtsev, G. Ya Slepyan, and A. Boag. "Quantum Noise Radar: Assessing Quantum Correlations." In 2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS). IEEE, 2019. http://dx.doi.org/10.1109/comcas44984.2019.8958223.

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Luong, David, and Bhashyam Balaji. "Quantum radar, quantum networks, not-so-quantum hackers." In Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, edited by Lynne L. Grewe, Erik P. Blasch, and Ivan Kadar. SPIE, 2019. http://dx.doi.org/10.1117/12.2519453.

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Brandsema, Matthew J., Marco Lanzagorta, and Ram M. Narayanan. "Quantum Electromagnetic Scattering and the Sidelobe Advantage." In 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114591.

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Frasca, Marco, and Alfonso Farina. "Entangled coherent states for quantum radar applications." In 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114592.

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