Researchers at the National Institute of Standards and Technology (NIST) have developed a method for teaching an artificial intelligence (AI) program to make an interconnected set of adjustments to tiny quantum dots, a significant aspect of creating properly functioning qubits.
The researchers created a simulator to generate thousands of images of quantum dot measurements that could then be fed to the AI as a training exercise.
Said NIST mathematician Justyna Zwolak, "We simulate the qubit setup we want and run it overnight, and in the morning we have all the data we need to train the AI to tune the system automatically."
The team used a setup of two quantum dots, and verified that within certain constraints the trained AI could auto-tune the system to the desired setup.
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