Researchers at IBM have drafted some new algorithms designed specifically to take advantage of quantum computers’ unique properties. The only catch is that we still need to build the computer.
While designing algorithms before the computers themselves may sound backwards, this has happened before. Computational models for conventional computers date back to the 1800s when Charles Babbage and Ada Lovelace were pondering mechanical computing devices.
From the article:
“We’ve developed a blueprint with new quantum data classification algorithms and feature maps. That’s important for AI because, the larger and more diverse a data set is, the more difficult it is to separate that data out into meaningful classes for training a machine learning algorithm. Bad classification results from the machine learning process could introduce undesirable results; for example, impairing a medical device’s ability to identify cancer cells based on mammography data.”
IBM has come up with a way to use quantum computers to improve machine learning algorithms, even though we don’t have anything approaching a quantum computer yet. The tech giant developed and tested a quantum algorithm for machine learning with scientists from Oxford University and MIT, showing how quantum […]
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