SQC’s quantum machine learning cuts chip design time from hours to minutes
Silicon Quantum Computing reported that patterning its Watermelon quantum-enhanced AI chip, a step that previously took hours by hand, can now be completed in minutes. The company used custom machine learning scripts together with its Quokka software to automate part of the atomic-precision fabrication process.
Faster patterning could let SQC iterate on atomic-precision device designs much more rapidly, turning hours-long manual layout cycles into quick parameter sweeps.