In February 2023, I published a comprehensive overview of quantum radar that treated the technology as an emerging field with genuine, if distant, potential. I described it as “the next frontier of stealth detection” and devoted thousands of words to its possible military applications, China’s claims of 100 km detection range, and the theoretical promise of quantum illumination.
I was too generous. The accumulated evidence from the past three years makes the conclusion inescapable: microwave quantum radar cannot work at operationally useful distances. The constraint is not engineering. It is physics.
This correction matters because quantum radar has become one of the most persistent examples of quantum hype in the defense sector, and because the same pattern of inflated claims and uncritical coverage that I’m correcting here shows up across quantum technology reporting. If PostQuantum.com is going to fight Q-FUD on the cryptography side, I owe the same rigor on the sensing side.
The argument against quantum radar fits on a napkin. It rests on one physical constant and one equation that every radar engineer learns in their first year.
A single microwave photon at X-band (10 GHz, the most common radar frequency) carries approximately 6.6 × 10-24 joules of energy. For context, a cheap marine radar like the Simrad HALO 6 transmits 2.5 millijoules per pulse and detects 1 m2 targets at 5.3 km. That pulse contains roughly 4 × 1020 photons.
Quantum radar only works in the quantum regime when the average number of signal photons per mode (Nₛ) is less than one. The quantum advantage — the whole reason to use entangled photons rather than classical signals — vanishes above about four or five photons per mode. At Nₛ = 0.4 (a typical value in the quantum illumination literature), the transmitted energy per mode is 2.6 × 10-24 joules.
The gap between what you need and what quantum radar can provide is twenty orders of magnitude. You can close that gap by increasing the time-bandwidth product (sending more modes), but doing so requires absurd integration times. For an X-band quantum radar with 1 GHz bandwidth, Nₛ = 0.25, a 6 dB quantum advantage, and a 1 m2 target at 1 km, the required integration time is approximately 346 hours. Not 346 microseconds. Three hundred and forty-six hours.
Gabriele Pavan and Gaspare Galati at Tor Vergata University in Rome published these calculations in Remote Sensing (MDPI) in July 2024. Fred Daum at Raytheon, working with the same group, had been making the same argument since 2020. The calculations are straightforward applications of the standard radar equation. Nobody has disputed the math.
The theoretical quantum advantage of quantum illumination is 6 dB — a factor of four improvement in the error probability exponent over the best classical scheme at the same transmitted energy. Experimental demonstrations have achieved less: Barzanjeh et al. (2020) measured about 1 dB, and Assouly et al. (2023), in the most careful experiment to date (published in Nature Physics), reached about 0.79 dB versus a 2.8 dB theoretical maximum for their configuration.
That 6 dB advantage translates to an 18% increase in range for the same detection probability, if everything else is held constant. In classical radar engineering, you get the same 6 dB by replacing a 1.2-meter dish antenna with a 1.7-meter dish. The cost difference: a few thousand dollars for a bigger antenna, versus a dilution refrigerator the size of a car running at 7 millikelvin that costs north of a million euros and consumes 15 kW of power.
There’s a further problem that the quantum radar community has largely ignored until recently. Quantum radar signals are inherently Gaussian random and they cannot be shaped or tailored like the waveforms in a classical noise radar. This matters because a Gaussian signal has a peak-to-average power ratio (PAPR) around 9–10, creating a loss of approximately 10 dB in the matched filter. A classical noise radar using digitally generated pseudorandom waveforms can achieve a PAPR of about 1.5, losing only 1.76 dB. The difference of roughly 8 dB more than cancels the maximum 6 dB quantum advantage. Pavan and Galati documented this waveform penalty with detailed signal processing analysis. A properly designed classical noise radar outperforms quantum radar even before you consider the range problem.
The maximum detection range of a quantum radar for realistic parameters, as calculated by Pavan and Galati and confirmed by Bischeltsrieder et al. at DLR/TU Munich (IEEE Transactions on Radar Systems, 2024):
At room temperature (Tₛ = 290 K): less than 10 meters. At a very favorable system noise temperature (Tₛ = 100 K): 10 to 40 meters. At the cosmic microwave background temperature (Tₛ = 2.7 K, meaning the entire system including antenna and environment is cooled to near absolute zero): less than 20 meters.
The best range claim from any laboratory demonstration is 82.2 meters, from Patrizia Livreri’s group using a Josephson Traveling Wave Parametric Amplifier (JTWPA). That number is a theoretical projection from measured device parameters, not an actual detection of a real target at 82 meters. And even if taken at face value, 82 meters is confirmation of the problem, not a solution to it.
For comparison, a cheap commercial marine radar costing $7,000 detects 1 m2 targets at 5.3 km. The quantum radar prototype behind the 82-meter claim requires a dilution refrigerator, a JTWPA operating at millikelvin temperatures, and an equipment cost several orders of magnitude higher.
In October 2025, Chinese state media reported that the Quantum Information Engineering Technology Research Centre in Anhui province had begun mass-producing a four-channel single-photon detector, dubbed the “photon catcher.” Headlines across defense media declared that China was about to render American stealth aircraft obsolete.
The detector itself is a real and impressive piece of quantum engineering. Single-photon detectors are essential components for quantum communication networks and quantum key distribution. They have legitimate applications in quantum sensing and metrology. The problem is not the detector. The problem is claiming that a better detector solves the quantum radar range problem.
It does not. The range limitation comes from the signal side, not the detection side. A quantum radar’s maximum range is constrained by the energy per photon at microwave frequencies and the requirement that Nₛ remain below one for quantum advantage. A perfect detector with zero noise changes nothing about the fact that there is essentially no signal to detect at kilometric distances when you’re transmitting fractions of a photon per mode. Building a better photon detector for quantum radar is like building a better ear trumpet when the problem is that nobody is speaking.
China’s earlier claim of 100 km quantum radar detection (attributed to CETC in 2016) was never substantiated with published data or peer-reviewed analysis. Given the physics constraints documented above, the claim is not credible. I should have been more direct about this in my earlier coverage.
Galati, Pavan, and Daum reviewed all 106 quantum radar papers indexed in IEEEXplore from 2012 through 2025. Their assessment: 90% of the published papers would warrant rejection or major revision by a competent radar engineering reviewer. Publication counts peaked in 2020–2021 and have been declining since, mirroring the classic Gartner hype cycle.
The decline is telling because it follows the pattern you see when a research community encounters a hard physical limit rather than an engineering bottleneck. When the barrier is engineering, publication counts stabilize or grow as incremental improvements accumulate. When the barrier is physics, enthusiasm collapses once enough people do the calculation.
Of the 106 papers, the vast majority focused on quantum physics and component technology with no quantitative evaluation of radar range. Papers that actually ran the radar equation such as by Daum (2020), Brandsema (2018), Sorelli et al. (2022), Jonsson and Ankel (2021), and Pavan and Galati themselves and they all arrived at the same conclusion: operationally relevant range is unachievable.
As Science summarized in Adrian Cho’s 2020 article “The short, strange life of quantum radar”: if you increase the power, the quantum advantage disappears; if you keep the power low enough for quantum advantage, the range is useless.
The quantum radar story is a case study in how a theoretically valid quantum physics result (Lloyd’s 2008 quantum illumination paper is correct) can be inflated far beyond its domain of applicability. The 6 dB quantum advantage is real. It exists in the regime of very few photons, very high thermal background noise, and very short range. The inflation comes from extrapolating that advantage to the domain of military radar, where ranges are measured in kilometers and photon counts are measured in the hundreds of billions.
The pattern repeats across quantum technology. A genuine physics result is published. The press release omits the limiting conditions. Defense media picks up the implication without checking the math. Government funding follows the headlines. Research groups optimize for continued funding rather than honest assessment of feasibility. Critical papers face resistance in peer review.
Galati, Pavan, and Daum allege this last point explicitly in their 2025 Academia Quantum paper and their 2026 Technium Social Sciences paper, documenting cases where critical papers were blocked or delayed by reviewers with competing interests. I cannot independently verify these specific allegations, but the publication record is consistent with their claim: the overwhelming majority of published quantum radar papers do not address range feasibility, and papers that do address it consistently reach negative conclusions.
For PostQuantum.com readers, the quantum radar story offers a useful calibration exercise. I apply the same skepticism to quantum computing claims, but the key difference matters: quantum radar fails because physics forbids useful range. Quantum computing faces engineering barriers such as error rates, coherence times, fabrication yield, that have been steadily improving. Google’s Willow chip demonstrated below-threshold error suppression. Quantinuum’s Helios achieved 48 logical qubits. These are incremental engineering gains against a problem that physics allows to be solved. Quantum radar offers no equivalent trajectory because there is no engineering path around E = hf.
Dismissing quantum radar does not mean dismissing quantum sensing. The distinction between the two is critical, and conflating them is another form of Q-FUD.
Quantum sensing at optical and higher frequencies is a different proposition entirely because photon energy scales with frequency. An optical photon at 600 nm carries 3.3 × 10-19 joules – roughly 50,000 times more energy than an X-band microwave photon. The background photon count is also drastically lower at optical frequencies. Quantum LiDAR, quantum-enhanced microscopy, and quantum magnetometry all operate in regimes where quantum advantage is physically meaningful.
Rydberg atom-based electric field sensors (the technology behind DARPA’s Quantum Apertures program) represent genuine quantum-enhanced RF sensing, but they work on different principles than quantum radar – they exploit the extreme sensitivity of highly excited atomic states to electric fields, rather than entangled photon illumination.
Quantum gravimeters, atomic clocks, and nitrogen-vacancy center magnetometers are all commercially deployed quantum sensors. The quantum sensing ecosystem is real and growing, including in China. The credible work is happening in metrology, navigation, materials characterization, and biomedical imaging, all applications where the target is close, the signal is cooperative, and cryogenic infrastructure can be accommodated.
My February 2023 quantum radar article treated China’s 100 km detection claim with insufficient skepticism. I presented quantum radar’s military applications as speculative but plausible rather than physically impossible. The article’s framing, “The Next Frontier of Stealth Detection”, was wrong. There is no frontier. The physics closes the door.
What remains correct from that earlier piece: the theoretical foundations of quantum illumination are valid (Lloyd’s 2008 paper is sound science), the component technology (JPA, JTWPA, single-photon detectors) is real, and the research has produced genuine contributions to quantum optics and microwave photonics. The error was extrapolating from valid physics to impossible applications. I won’t delete the old article – corrections at PostQuantum.com are additive – but readers should treat this piece as the current assessment.
The quantum radar story, in the end, is a reminder that “quantum” is a physics modifier, not a magic word. The same quantum mechanics that makes Shor’s algorithm a genuine long-term threat to cryptography also makes quantum radar a dead end for defense sensing. The physics doesn’t care about funding cycles, press releases, or national prestige. It only cares about E = hf.
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