Researchers at Oxford University, in collaboration with DeepMind, University of Basel and Lancaster University, have created a machine learning algorithm that interfaces with a quantum device and ‘tunes’ it faster than human experts, without any human input.
In prototype semiconductor quantum computers, the standard way to correct manufacturing imperfections is by adjusting input voltages to cancel them out. This process is known as tuning. However, identifying the right combination of voltage adjustments needs a lot of time even for a single quantum device. This makes it virtually impossible for the billions of devices required to build a useful general-purpose quantum computer.
The scientists have described a machine learning algorithm that solves this problem. (TechXplore)
The paper has been published in Nature Communications.
