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Machine Learning – Pasqal’s Quantum Computers can be used on concrete industrial problems

In a paper published in Physical Review A (September 20th, 2021), Pasqal engineers propose a Machine Learning protocol for measuring the similarity between graph-structured data, which are ubiquitous and with applications in many fields (see this previous article for more information).

Congratulations to the team of quantum software engineers of Louis-Paul Henry, Slimane Thabet and Constantin Dalyac, lead by Loïc Henriet.

All the results in this paper were produced thanks to Pasqal’s open-source library Pulser and its embedded emulator.

Thanks to GENCI for the access to their supercomputers.

 

 

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