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Quantum Engineering for Machine Learning

Objective

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 (VH and LH, respectively) of 2DMs.

QUEFORMAL pursues a very risky and original proposed solution, with the extremely high potential gain of advancing a science-enabled technology for the fabrication of integrated circuits for machine learning, in a field in which Europe has a strong basic-science leadership, thanks to the pioneering breakthroughs on graphene and 2D materials.

The overall objective and targeted breakthrough of QUEFORMAL is to experimentally demonstrate the fabrication and operation of devices based on LH and VH of 2DMs for logic-in-memory integrated circuits and to show the potential of this technology for the fabrication of integrated circuits for machine learning. Devices include i) lateral heterostructure FETs (LH-FETs) operating at low voltage (0.6 V) fabricated in close vicinity to ii) floating-gate non-volatile memories based on VHs for the gate stack and LHs for the channel (LVH-NVMs), that can be programmed at low voltage (<5 V) with retention time larger than 1 month.

The QUEFORMAL consortium consists of six partners and has unique advantages: Consortium members have proposed and patented the LH-FET concept and have experimentally demonstrated the floating gate non-volatile memory concept using 2D materials.

Field of science

  • /engineering and technology/nanotechnology/nano-materials/two-dimensional nanostructures
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-FETOPEN-2018-2019-2020-01
See other projects for this call

Funding Scheme

RIA - Research and Innovation action
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Coordinator

UNIVERSITA DI PISA
Address
Lungarno Pacinotti 43/44
56126 Pisa
Italy
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 658 000

Participants (5)

GESELLSCHAFT FUR ANGEWANDTE MIKRO UND OPTOELEKTRONIK MIT BESCHRANKTERHAFTUNG AMO GMBH
Germany
EU contribution
€ 587 500
Address
Otto Blumenthal Strasse
52074 Aachen
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
UNIVERSITAET DER BUNDESWEHR MUENCHEN
Germany
EU contribution
€ 549 500
Address
Werner Heisenberg Weg 39
85579 Neubiberg
Activity type
Higher or Secondary Education Establishments
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland
EU contribution
€ 587 790
Address
Batiment Ce 3316 Station 1
1015 Lausanne
Activity type
Higher or Secondary Education Establishments
CONSIGLIO NAZIONALE DELLE RICERCHE
Italy
EU contribution
€ 262 500
Address
Piazzale Aldo Moro 7
00185 Roma
Activity type
Research Organisations
QUANTAVIS SRL
Italy
EU contribution
€ 343 450
Address
Via Dei Pensieri 60
57128 Livorno
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)