FEATURE: E&T Magazine – Could quantum radars expose stealth planes?

091209-O-0000X-002 ST. AUGUSTINE, Fla. (Dec. 9, 2009) E-2D Advanced Hawkeye aircraft conduct a test flight near St. Augustine, Fla. (Photo Courtesy Northrop Grumman/Released)

Stealth planes currently go under the radar, figuratively speaking, but maybe the higher definition promised by quantum radars could be used to expose them.

Radar technology has become an ever more important tool in warfare since the Second World War, used to monitor the electromagnetic spectrum to detect and track enemy aircraft, missiles, satellites and other systems that in turn have grown more sophisticated in evading detection.

Building better, more sensitive and harder-to-detect radar systems remains a key focus for defence manufacturers today, especially since in October 2018 the US Navy designated the electromagnetic spectrum as a warfighting domain on par with sea, land, air, space and cyber.

Last year, China’s biggest defence electronics company, state-owned China Electronics Technology Group, announced it had developed a next-generation “quantum radar system” that, it claimed, can detect ballistic missiles and other objects flying “at high speed through space”. Two years previously, the group said it had tested a quantum radar to a range of 100km (60 miles).

The expectation is that quantum radar, due to the unique behaviour of quantum entanglement, could, among other things, “un-stealth” aircraft by detecting objects with a greater level of accuracy than conventional radar. Therefore, if China’s announcement is true – and it hasn’t provided any evidence to back its claim – it would be a huge win for both its defence and quantum capabilities.

China is keen to become both a military super power and a leader in quantum technology, having ring-fenced billions towards research and development. But it is not the only runner in the race.

According to Ned Allen, the chief scientist at US defence technology company Lockheed Martin, the idea for a quantum radar was first floated at a meeting between him, his assistant and a professor of quantum information science at the University of Southern California (USC) in 2002 or thereabouts.

They decided to suggest it to the strategic technology office of the US Defense Advanced Research Projects Agency (Darpa), which commissioned a one-year research project. Both the US and Lockheed-Martin have been working on the technological development of quantum radar ever since – though separately as, ironically, Darpa didn’t commission Lockheed to run the subsequent quantum-sensing programme that spun from the USC team’s initial research.

Canada has also invested C$2.7m (£1.93m) into developing quantum radar via an ongoing research project at the University of Waterloo. The UK, through Innovate UK, is funding an ongoing study by Qinetiq into the feasibility of using quantum metrology in radar and lidar systems.

Quantum radar technology is based on the principles of quantum illumination and quantum entanglement, though there are other techniques being developed that are not properly quantum. Lockheed is doing experimental work developing a classical radar incorporating components that use quantum principles, for example.

A classical radar works by sending out a directional beam of radiation at radio or microwave frequencies, and through a receiver detecting reflections from any objects in the path of the signal, in order to calculate their location and speed.

A quantum radar, in simple terms, uses a source of entangled photons that are strongly correlated and have the same inseparable identity and experiences and work as one quantum system, even when separated. To detect an object at distance the beam of photons is split, with one half transmitted and the other retained at the basestation for comparison with the reflections.

Sending out entangled quanta or photons instead of classical radiation, in theory, offers several advantages. The first is ‘better’ image resolution without an increase in frequency.

“The resolution from any visualisation device is directly proportional to the energy of the photons you use to identify the device, and one of the most interesting things about quantum radar is the behaviour of the radar beam as it is propagated through the atmosphere, because the character of the image beamed back is a function of all the photons added together,” explains Allen.

This means it is possible to get a much higher resolution of targets than classical radar but at the same frequency, even if they have been physically minimised by stealth techniques.

“There is much ongoing work to raise the frequency of radar, but quantum allows you to do that much more easily and more elegantly,” adds Allen.

Furthermore, with entangled photons it should be easier to separate background noise from what is actually being reflected back off an object, says Jonathan Baugh, an associate professor at the University of Waterlooís Institute for Quantum Computing (IQC) and the Department of Chemistry, who is leading a quantum radar research project with three other researchers at IQC and the Waterloo Institute for Nanotechnology.

Radar frequencies sometimes suffer because of lots of background noise due to thermal and black body radiation, stray radio signals, or radio noise from things such as solar wind hitting the atmosphere, which can obscure the signal.

This is particularly acute in higher altitudes like the Arctic regions. In areas like this, stealth aircraft, which do not reflect back much light, just become part of the background noise.

By using a split beam of entangled photons, quantum radar theoretically will allow militaries to boost the radar signal and discard some of the noise, making detection more effective.

For example, if an emitted photon came into contact with a target it would be reflected off it and return to the station. At this point it is possible to perform a ‘correlation experiment’ or measurement on both photons to determine if it is in fact the returning photon and not just background noise.

“This gives you an advantage because then it’s possible to separate out the ‘real’ photons – the ones known to be sent from the basestation and reflected back – from ambient background noise. That information is useful as it allows you to sift out a small signal buried in noise and can tell you the photon you are detecting is not just random,” Baugh explains.

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