Artificial intelligence (AI) can eliminate errors from a group of quantum bits, thanks to Lorenzo Cardarelli and colleagues at Germany's RWTH Aachen University.
The researchers used a small quantum computer model to generate a quantum version of a machine learning autoencoder algorithm.
They fed data into the system to see which errors it produced, creating pairs of correct and error-saturated data with which they trained the quantum autoencoder to detect and fix errors.
Cardarelli said the AI could be trained on a specific quantum computer and learn to correct errors unique to that system.
"This is almost like custom designing an error-correction code according to the characteristics of the particular hardware," said Sonika Johri at U.S.-based quantum computing firm IonQ.
From New Scientist
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