Symbolic AI and graph algorithmics Machine Learning & optimisation Chemistry
Quantum probabilistic safety assessment (QPSA)
Quantum natural language processing (QNLP)
Quantum rule-based systems (QRBS) for breast cancer detection
HPC mesh segmentation
Financial applications
Hard optimisation problems for smart-charging of electric vehicles
Reinforcement learning for hydrocarbon well optimisation
Drug Discovery
CO2 Recapture
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Press release: 12 European companies and research labs join forces to boost industrial quantum computing applications

The NEASQC project will investigate a large selection of NISQ-compatible industrial and financial use-cases and develop open source NISQ programming libraries for those use cases, so as to facilitate quantum computing experimentation for new users.

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Meet our team!

NEASQC brings together highly skilled and motivated academic experts and industrial end users, who will work together on the selected use cases. Each use case is endorsed by an industrial partner, and is investigated by an integrated team of at least one industrial company and one academic organisation.

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NEASQC is one of the Quantum flagship projects

The Quantum Flagship is one of the most ambitious long-term research and innovation initiatives of the European Commission. It aims to consolidate and expand European scientific leadership and excellence in this research area, and to kick-start a competitive European industry in Quantum Technologies

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Machine Learning & optimisation

Machine Learning & optimisation

This group of use cases addresses a wide variety of industries, such as energy, oil & gas and finance. They have one thing in common: some of their activities can benefit from Quantum-enhanced machine learning and optimization methods.
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Chemistry

Chemistry

The goal of this work package is to bridge the gap between the recent proof-of-concept quantum chemical computations on NISQ processors and actual, industrial-scale quantum chemistry problems. To this aim, we will create software tools to integrate classical quantum chemical codes with quantum computing (QC) modules.
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Symbolic AI and graph algorithmics

Symbolic AI and graph algorithmics

These use cases provided by a wide variety of sectors (linguistics, oncology, energy) all aim to develop methods and implementations in the areas of artificial intelligence and graph algorithmics
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NEASQC NEWS

Consulter
NEASQC in ETP4HPC’s Handbook of European HPC projects
NEASQC is featured in the new edition of ETP4HPC’s Handbook of European HPC projects.
November 9, 2020
Consulter
Kick-off meeting for NEASQC!
All members of the NEASQC consortium gathered today – virtually – for the official kick-off of the project.
October 5, 2020
Consulter
NEASQC is officially starting today!
September 1, 2020
View all news

NEASQC NEWS

News
NEASQC in ETP4HPC’s Handbook of European HPC projects
NEASQC is featured in the new edition of ETP4HPC’s Handbook of European HPC projects.
Kick-off meeting for NEASQC!
All members of the NEASQC consortium gathered today – virtually – for the official kick-off of the project.
NEASQC is officially starting today!
View all news

EVENTS

11/18/2020
Maker Faire Galicia
NEASQC member Vicente Moret-Bonillo from University of A Coruna chaired the session “Technologies for a world 5.0” on 18 November, and presented an overview of the NEASQC project.
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11/05/2020
European Quantum Week
As part of the Quantum Technologies Use Cases session, Marc Porcheron, EDF, presented “Smartcharging of electrical vehicles”, one of the NEASQC uses cases.
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11/04/2020
Quantum Computing Business conference
The NEASQC project coordinator Cyril Allouche (Atos) was invited in the round table “From tools to apps”, in which he presented NEASQC’s contribution.
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Europe
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 951821.
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