QUEFORMAL

QUEFORMAL

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Title: Quantum Engineering for Machine Learning.

Principal Investigator at ICCOM: Alessandro Fortunelli.

Project type: International.

Duration: 01/2019-31/12/2022.

Abstract: We propose the radical vision of a new integrated circuit technology for machine learning where low-voltage field-effect transistors and non-volatile memories are integrated next to each other exploiting quantum engineering of heterostructures of two-dimensional materials (2DMs), i.e. the atom-by-atom design and fabrication of devices which combine vertical and lateral heterostructures of 2DMs.

Partnership: 1) UNIVERSITY OF PISA (Italia) Public Higher Education; 2) GESELLSCHAFT FUR ANGEWANDTE MIKRO UND OPTOELEKTRONIK MIT BESCHRANKTERHAFTUNG AMO GMBH (Germany) SME; 3) UNIVERSITAET DER BUNDESWEHR MUENCHEN (Germany) Public Higher Education; 4) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (Switzerland) Public Higher Education 5) CONSIGLIO NAZIONALE DELLE RICERCHE (Italia) Public Research Organisation; 6) QUANTAVIS SRL (Italia) SME.

ICCOM participant: Alessandro Fortunelli.

Sponsored by: EU – H2020-FETOPEN-2018-2020 – Project ID: 829035.

Financial contribution (overall): 2.988.740,00 €.

Financial contribution (ICCOM): 262.500,00 €.

Categories: Active projects