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NEASQC

NExt ApplicationS of Quantum Computing
Funder: European CommissionProject code: 951821 Call for proposal: H2020-FETFLAG-2020-01
Funded under: H2020 | RIA Overall Budget: 4,671,330 EURFunder Contribution: 4,671,330 EUR
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Description

NEASQC is devoted to the emergence of practical applications of quantum computing in its NISQ era, and to the construction of a strong community. NEASQC is use-case centric and organized around 10 real use cases (UC). These UC have been defined by the industrial members and validated by the academic members as NISQ compatible. Each use case will be investigated with a rigorous methodology by an integrated team made of at least one industrial and one academic: 1-Algorithm research and design 2-Development of a prototype software 3-Qualification of the prototype with real data on real or simulated NISQ device 4-Benchmark against state-of-the-art techniques. NEASQC is coordinated by Bull, the Atos subsidiary in charge of Quantum Computing, developer of the QLM/myQLM quantum programming platform. Bull will act as the integrator of NEASQC software deliverables and will guarantee their industrial quality. An important objective of our project is to build an active European community of applied QC. As such, much attention is paid to dissemination, with a significant number of actions toward a large number of end-user communities. The project will welcome associate end users all along. NEASQC will build quantum computing open source libraries out of the use case developments. These libraries will be delivered to the European QT community all along the project, through the project portal. A ready-to-install quantum programming environment (QPE) will be built and made available for free to the community, starting from year 2. NEASQC will work with the flagship funded hardware projects to ensure the QPE is compatible with their platforms. In particular, our libraries will be optimized for each platform. NEASQC does believe in HW/SW co-design, and will define a series of use-case specific benchmarks, to help guide the hardware effort toward the highest efficiency on applications

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