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 inventory management
Drug Discovery
CO2 Recapture
Event Events
News News
Twitter Youtube LinkedIn Zenodo
  • Home
  • CO2 Recapture

CO2 recapture

As a representative use case for industrial-grade quantum chemical problem, we will study the capture of CO2 by so-called Metal-Organic Frameworks (MOFs) and graphene-like systems.

Partners.

Finding efficient ways to compute interactions between CO2 and an adsorptive system is one of the key global challenges today. A first step towards solving the problem on a quantum computer does not only bring immediate value to TOTAL’s CO2 capture efforts but allows the global community to build up on the open-source code, finally contributing to a carbon-emission-free world.

Our public deliverables so far

Other use cases in “Chemistry”

Drug Discovery
Europe
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 951821.
Follow US
Youtube Youtube LinkedIn LinkedIn Twitter Twitter Zenodo Zenodo
Copyright © All rights reserved
Our website uses cookies to give you the most optimal experience online by: measuring our audience, understanding how our webpages are viewed and improving consequently the way our website works, providing you with relevant and personalized marketing content. You have full control over what you want to activate. You can accept the cookies by clicking on the “Accept all cookies” button or customize your choices by selecting the cookies you want to activate. You can also decline all cookies by clicking on the “Decline all cookies” button. Please find more information on our use of cookies and how to withdraw at any time your consent on our privacy policy.
Accept all cookies
Decline all cookies
Privacy Policy