An important computer application...
Rigetti Computing announced that it was able to demonstrate unsupervised machine learning on its new 19-qubit quantum computer, Lucian Armasu reports on tomshardware.com.
The company achieved this with a quantum/classical hybrid algorithm for clustering data. Clustering analysis is one of the most common ways to do unsupervised machine learning in order to find hidden patterns within the analyzed data. It's often used in advertising, credit scoring, and image segmentation, Armasu wrote.
For more, including a fascinating video of Chad Rigetti, founder of the new company, discussing quantum computing and its potential as well as what goes into the success of a start-up company: http://www.tomshardware.com/news/unsupervised-machine-learning-quantum-computer,36144.html
A Rigetti Computing 19Q quantum processor.
The company achieved this with a quantum/classical hybrid algorithm for clustering data. Clustering analysis is one of the most common ways to do unsupervised machine learning in order to find hidden patterns within the analyzed data. It's often used in advertising, credit scoring, and image segmentation, Armasu wrote.
For more, including a fascinating video of Chad Rigetti, founder of the new company, discussing quantum computing and its potential as well as what goes into the success of a start-up company: http://www.tomshardware.com/news/unsupervised-machine-learning-quantum-computer,36144.html
Chad Rigetti.
Photos: Rigetti Computing, Google.
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