/quantum computing situational awareness machine learning (via Qpute.com)
quantum computing situational awareness machine learning

quantum computing situational awareness machine learning (via Qpute.com)


WASHINGTON – Today’s computers simply can’t handle the immense amount of data and speed necessary for military commanders and soldiers to gain situational awareness sufficient to form a clear picture of their surroundings. Military Times reports. Continue reading original article

The Military & Aerospace Electronics take:

14 April 2021 — Enter quantum computing — a long sought-after solution for advancing computing processing and capabilities, which while promising is still a delicate and resource-intensive way of crunching numbers.

Three recent Army science-funded breakthroughs are solving decades-old problems that could put quantum supercomputers in the hands of Army decision makers.

Papers published through Army- and Air Force-led efforts have found new ways to correct longstanding errors in quantum methods, using machine learning techniques to improve sensing and methods to build quantum communication networks.

Related: Joining forces on embedded computing for artificial intelligence and electronic warfare (EW)

Related: Air Force researchers ask industry for SWaP-constrained embedded computing for artificial intelligence (AI)

Related: Air Force approaching industry for adaptive optics technologies in ground-based space situational awareness

John Keller, chief editor
Military & Aerospace Electronics


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