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Canada developing quantum radar to detect stealth aircraft

Canada has invested $2.7m (£1.93m) into developing quantum radar – a new technology that would greatly improve the detection of stealth aircraft.

The technology is being developed by the University of Waterloo to replace existing Arctic radar stations.

Quantum radar can theoretically detect objects with a greater level of accuracy than conventional radar.

It makes use of quantum illumination – the process of isolating pairs of entangled photons.

So far, the technology has been tested only in laboratories.

Canada and the US jointly maintain 54 North Warning System (NWS) radar stations in the Arctic, which act as the first line of early warning atmospheric air defence for North America.

These radar stations are approaching the end of their life spans, and could need to be replaced as early as 2025.

Several other countries are also interested in developing quantum radar, including China and Russia.

In November, the Chinese Academy of Sciences, in Shanghai, announced that its scientists weredeveloping a new type of spy satellite that would be able to “uncover” stealth aircraft.

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How does quantum illumination work?

Quantum illumination uses quantum entanglement, a phenomenon whereby a pair of photons are connected, and even if the photons are separated by a great distance – such as hundreds of miles – actions performed on one photon continue to affect the other.

True quantum entanglement is difficult to maintain for long periods of time, and computer scientists and quantum physicists continue to puzzle over this problem in order to build quantum computers and make quantum encryption work.

However, even if the pair of photons disconnect – a process known as “decoherence”- they still remain related, which means they can be used to detect stealth aircraft.

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Detecting stealth aircraft

Imagine you’re firing out photons in the hope they will hit something and bounce back. If they bounce back, it tells you there is something there. That’s how regular radar works, using microwave signals.

Stealth fighter jets and bombers are typically designed to have lots of angles, so that when a microwave photon bounces towards the body of the aircraft, instead of bouncing straight back to the sender, the photons bounce off in a different direction.

This means that fewer photons return to the detector, which makes the object seem “invisible” on conventional radar detectors.

With quantum radar, you have a pair of entangled photons, and one of the photons gets fired out.

It bounces off the hidden object, and because it is entangled, the detector can trace where it went to, and keep firing more photons until a picture is built up of where the object is in the atmosphere – a bit like a quantum version of the game Battleship.

According to quantum computing expert Prof Alan Woodward, of Surrey University, when an entangled photon is fired out, there is a much higher level of certainty that the photon detected is actually one that you fired, as opposed to other photons that just happened to be around the aircraft at the time.

“In theory, entangled photons should be a significant improvement over the results of conventional radar,” he told the BBC.

“But we’re at a very early stage, and this investment is about seeing whether we can really turn theory into practice.”

Roger McDermott, a visiting senior research fellow at the department of war studies at King’s College London, said that there were currently no known electronic warfare technologies capable of unmasking stealth aircraft.

Quantum radar could become a viable form of electronic warfare, he said, but so far, “there is little evidence that it has advanced much beyond the laboratory” in any country.

“It needs further research and development, as well as field testing before it reaches a realistic procurement option,” he said.

Prof Woodward said that in addition to improving North America’s radar defence, Canada has a history of supporting quantum technologies, and would like to be one of the top countries in the world in this field.

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