Quantum computing, machine learning to help military commanders gain battlefield situational awareness

April 14, 2021
Quantum computing uses qubits, which offers many other ways to represent data. That option then provides exponential gains in processing power.

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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