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HKA Marketing Communications


Pasqal announces new machine learning protocol for comparing complex graph-based data on quantum systems

Pasqal has published a paper in the APS Physics journal presenting a new machine learning protocol called Quantum Evolution Kernel (QEK) for measuring similarity between graph-structured data on quantum computers. QEK is stable against detection error and comparable to state-of-the-art graph kernels on classical systems.

SourceHKA Marketing Communications·JournalPhysical Review A·TypeComputational simulation/modeling·DateOct 28, 2021

Q-CTRL and University of Sydney announce machine learning technique to pinpoint quantum errors

Researchers at Q-CTRL and University of Sydney have developed a machine learning technique to identify sources of error in quantum computers. This technique enables hardware developers to pinpoint performance degradation with unprecedented accuracy, accelerating the development of useful quantum computers.

SourceHKA Marketing Communications·JournalPhysical Review Letters·TypeExperimental study·DateJul 29, 2021