Objective
Over the past 60+ years CMOS-based digital computing has giving rise to ever-greater computational performance, „big data“-based business models and the accelerating digital transformation of modern economies. However, the ever-growing amounts of data to be handled and the increasing complexity of today’s tasks for high performance computing (HPC) are becoming unmanageable as the data handling and energy consumption of HPCs, server farms and cloud services grow to unsustainable levels. New concepts and technologies are needed. One such HPC technology is Quantum computing (QC). QC utilizes so-called quantum bits (qubits) to perform complex calculations fundamentally much faster than a conventional digital-bit computers can. First quantum computer prototypes have been created. Superconducting Josephson junctions (SJJs) have been shown to be extremely promising qubit candidates to achieve a significant nonlinear increase of computational power with the number of qubits. For novel materials there is a great challenge yet opportunity in Europe to create a complete value chain for SSJs and QCs. Such a complete value chain will contribute to Europe’s technology sovereignty. The MATQu project aims at validating the technology options to produce SJJs on industrial 300 mm silicon-based process flows. It covers substrate technology, superconducting metals, resonators, through-wafer-via holes, 3D integration, and variability characterization. These will be assessed with respect to integration practices of qubits. Core substrate and process technologies with high quality factors, improved material deposition on large-substrates, and increased critical temperature for superconducting operation, will be developed and validated. The MATQu partners complement each other in an optimal way across the value chain to create a substantial competitive advantage, e.g. faster time-to-market and roll-out of technologies and materials for better Josephson junctions for quantum computing.
Fields of science
- natural sciencesphysical scienceselectromagnetism and electronicssuperconductivity
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarequantum computers
- natural sciencescomputer and information sciencesdata sciencebig data
Programme(s)
Topic(s)
Call for proposal
H2020-ECSEL-2020-2-RIA-two-stage
See other projects for this call
Funding Scheme
ECSEL-RIA - ECSEL Research and Innovation ActionCoordinator
80686 Munchen
Germany
Participants (17)
75015 Paris 15
3001 Leuven
6240 Radfeld
2628 CJ Delft
38190 Bernin
02150 Espoo
02150 Espoo
81677 Munchen
10553 Berlin
71034 Boeblingen
81379 München
93200 Saint Denis
04229 Leipzig
2612 XJ Delft
78340 Les Clayes Sous Bois
20692 Yokneam
02200 Espoo