The QUEFORMAL project proposes a 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.
Our vision is based on the insight that heterostructures of 2D materials (in particular Transition Metal Dichalcogenides) provide a unique opportunity to engineer new materials almost atom by atom, essentially eliminating the boundary between electronic materials and devices
Company Details
- Founded
- -
- Address
- Dipartimento Di Ingegneria Dell'informazione, Via Girolamo Caruso 16, Pisa,pi 56123,italy
- Industry
- Semiconductors
- Website
- http://www.queformal.eu
- Keywords
- Valbonne.
- HQ
- Pisa, PI
Quantum Engineering For Machine Learning Questions
Quantum Engineering For Machine Learning's website is http://www.queformal.eu
Quantum Engineering For Machine Learning's LinkedIn profile is https://it.linkedin.com/company/queformal
Quantum Engineering For Machine Learning's industry is
Semiconductors
Quantum Engineering For Machine Learning's top competitors are
Tifr Semiconductor Optoelectronics,
Quantum Machine Learning,
Center For Quantum Devices,
Vec Imaging Gmbh & Co. Kg,
Quantum Learning Global,
Quantum Labs,
Quantum Reach,
2d+ Crhea,
2dintegrate,
2d Fab.
Quantum Engineering For Machine Learning's categories are Semiconductors
Quantum Engineering For Machine Learning's founding year is 2019
