Carbon capture technology stands out as an adaptable and source-agnostic approach for curbing CO2 emissions, focusing on removing CO2 post-generation rather than preventing its production. Metal organic frameworks (MOFs) are versatile materials offering a commercial route to industrial carbon capture and storage due to their ability to adsorb molecules through large pores and internal surface area. In this presentation, we present a highly transferable, end-to-end protocol to incorporate quantum simulations in quantum computers to this real-world research problem. The protocol can be easily tune to better balance accuracy and computational cost, and we estimate that can be routinely applied within the next five years.

Adrian Varela-Alvarez, Data & AI Engineer, Capgemini