Quantum Radar – What is it good for?

Jonsson, Robert; Ankel, Martin

doi:10.1109/radarconf2147009.2021.9455162

Cited by 12 publications

(10 citation statements)

References 48 publications

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“…Indeed, this may have applications in radar-like remote sensing in the microwave regime [9,11], where N B is of the order of thousands of photons in a room temperature environment. However, QI faces several practical challenges when compared to conventional radar protocols [54]. As shown in the previous section, in this regime the TMSV can realize at most a factor of 2 advantage in QFI over a coherent state, realized by choosing a low power-per-mode regime for the TMSV state (N S /M = N S 1), see figure 5 [10,14].…”

Section: Quantum Illuminationmentioning

confidence: 97%

Gaussian quantum estimation of the loss parameter in a thermal environment

Jonsson¹,

Candia²

2022

J. Phys. A: Math. Theor.

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Lossy bosonic channels play an important role in a number of quantum information tasks, since they well approximate thermal dissipation in an experiment. Here, we characterize their metrological power in the idler-free and entanglement-assisted cases, using respectively single- and two-mode Gaussian states as probes. In the problem of estimating the loss parameter, we study the power-constrained quantum Fisher information (QFI) for generic temperature and loss parameter regimes, showing qualitative behaviours of the optimal probes. We show semi-analytically that the two-mode squeezed-vacuum state optimizes the QFI for any value of the loss parameter and temperature. We discuss the optimization of the {\it total} QFI, where the number of probes is allowed to vary by keeping the total power constrained. In this context, we elucidate the role of the ``shadow-effect'', or passive signature, for reaching a quantum advantage. Finally, we discuss the implications of our results for the quantum illumination and quantum reading protocols.

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Section: Quantum Illuminationmentioning

confidence: 97%

Gaussian quantum estimation of the loss parameter in a thermal environment

Jonsson¹,

Candia²

2022

J. Phys. A: Math. Theor.

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“…with this parametrization chosen so that a † T a T = N S = a † Q a Q . The covariance matrix Σ ρκ of the two-mode state obtained by reflection of the T mode in a thermal environment is equal to the upper 4 × 4 block of the full 6 × 6 covariance matrix Σ U TE κ |ψ⟩⟨ψ|TQ⊗(ρ β )EU TE † κ with matrix elements given by (1,4) , (1,6) , (2, 3) , (2, 5) , (3,4) , (3,6) , (4, 5) , (5,6): 0…”

Section: Not Even 6dbmentioning

confidence: 99%

“…The model of the target includes a small reflectivity κ 1 beamsplitter uniformly coupling the transmitted registers and corresponding thermal modes of energy N B , and, in analyses of the purely information-theoretic QI problem, has no other interesting property like spatial or temporal dynamics, thermal or active emission, absorption, etc. Such properties are important for realistic analyses of QI problem involving target properties or specific receivers [3][4][5][6][7][8], but they are not considered in the present work. In Gaussian QI, the full state of the transmitted register T and the quantum memory register Q is a continuous-variable (CV) Gaussian state |ψ TQ .…”

Section: Introductionmentioning

confidence: 99%

Not even 6 dB: Gaussian quantum illumination in thermal background

Volkoff

2024

J. Phys. A: Math. Theor.

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In analyses of target detection with Gaussian state transmitters in a thermal background, the thermal occupation is taken to depend on the target reflectivity in a way which simplifies the analysis of the symmetric quantum hypothesis testing problem. However, this assumption precludes comparison of target detection performance between an arbitrary transmitter and a vacuum state transmitter, i.e., "detection without illumination", which is relevant in a bright thermal background because a target can be detected by its optical shadow or some other perturbation of the background. Using a target-agnostic thermal environment leads to the result that the oft-claimed 6 dB possible reduction in the quantum Chernoff exponent for a two-mode squeezed vacuum transmitter over a coherent state transmitter in high-occupation thermal background is an unachievable limiting value, only occurring in a limit in which the target detection problem is ill-posed. Further analyzing quantum illumination in a target-agnostic thermal environment shows that a weak single-mode squeezed transmitter performs worse than "no illumination", which is explained by the noise-increasing property of reflected low-intensity squeezed light.

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“…[26] Jonsson et al. took the time bandwidth product as the gain of signal processing, and then discussed the relationship between the detection range and the signal frequency band for QI protocol in the standard atmosphere [27]. Karsa et al.…”

Section: Introductionmentioning

confidence: 99%

“…M. Lanzagorta analysed the influence of the link noise of quantum radar. [26] Jonsson et al took the time bandwidth product as the gain of signal processing, and then discussed the relationship between the detection range and the signal frequency band for QI protocol in the standard atmosphere [27]. Karsa et al considered a L-band QI radar with a suitable regime of parameters for potential short-range applications, and then estimated its detection range based on the classical radar equation [28].…”

mentioning

confidence: 99%

Evaluating the detection range of microwave quantum illumination radar

Wang

Zhou

et al. 2023

IET Radar Sonar & Navi

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Based on quantum illumination (QI) protocol, microwave quantum radar has been developed, which has attracted great interest from radar researchers. While, according to the QI protocol, the quantum advantage of QI radar is related to the power of generated signal, which may lead to a trade‐off between its quantum advantage and the maximum detection range. However, the maximum detection range is an important indicator to measure the performance of the radar. Therefore, it is necessary to quantitatively analyse the maximum detection range and quantum advantages of microwave QI radar, which will help us understand its performance from the perspective of radar applications and further evaluate the potential application scenarios and future research directions of it. The microwave quantum radar equation is developed, by the authors, based on the classical radar equation with the consideration of the quantum properties of extremely weak signals. Then, the maximum detection range of QI radar and classical two mode noise radar in different microwave bands is comprehensively compared and analysed. The possible applications of microwave QI radars in different bands are also discussed. In addition, the authors demonstrate that the symmetrical quantum limited amplification actually has no contribution to improving the detection range of a QI radar.

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Quantum Radar – What is it good for?

Cited by 12 publications

References 48 publications

Gaussian quantum estimation of the loss parameter in a thermal environment

Gaussian quantum estimation of the loss parameter in a thermal environment

Not even 6 dB: Gaussian quantum illumination in thermal background

Evaluating the detection range of microwave quantum illumination radar

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