HQSeminar: A Quantum Machine Learning software for classification tasks: QuASK

HQS invites you to attend the online lecture "A Quantum Machine Learning software for classification tasks: QuASK" by Francesco Di Marcantonio, a Master Thesis Student in Engineering Physics at the CERN QTI. QuASK is a quantum machine learning software written in Python that supports researchers in designing, experimenting, and assessing different quantum and classical kernels performance. Join the Webinar on Friday, 31st March 2023, 13:00 CET via Zoom: https://us02web.zoom.us/j/86485026284

References:

• https://arxiv.org/abs/2206.15284

• https://arxiv.org/abs/2211.16551

• https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1718318&dswid=-3080

• https://arxiv.org/abs/2011.01938

Software Github:

https://github.com/CERN-IT-INNOVATION/QuASK