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Finally, Proof That Quantum Computing Can Boost Machine Learning

Quantum supremacy sounds like something out of a Marvel movie. But for scientists working at the forefront of quantum computing, the hope—and hype—of this fundamentally different method of processing information is very real. Thanks to the quirky properties of quantum mechanics (here’s a nifty primer), quantum computers have the potential to massively speed up certain types of problems, particularly those that simulate nature.

Scientists are especially enthralled with the idea of marrying the quantum world with machine learning. Despite all their achievements, our silicon learning buddies remain handicapped: machine learning algorithms and traditional CPUs don’t play well, partly because the greedy algorithms tax classical computing hardware.

Add in a dose of quantum computing, however, and machine learning could potentially process complex problems beyond current abilities at a fraction of the time.

Geth powered by Wikia

The geth (“Servant of the People” in Khelish) are a race of networked artificial intelligences that reside beyond the Perseus Veil. The geth were created by the quarians as laborers and tools of war. When the geth became sentient and began to question their masters, the quarians attempted to exterminate them. The geth won the resulting war, and reduced the quarians to a race of nomads.

The history of the geth’s creation and evolution serves as a warning to the rest of the galaxy of the potential dangers of artificial intelligence and to the legally enforced, systematic repression of artificial intelligences throughout galactic society.