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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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.

Partners

Uses cases

Drug Discovery
CO2 Recapture

OTHER USE CASE DOMAIN

Machine Learning & optimisation
Symbolic AI and graph algorithmics
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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