Quantum computing could advance our understanding of the fundamental chemical reactions that occur in the soil and have direct impacts on agriculture. By accurately simulating the reactions underlying complex processes such as nitrification, quantum computing may help farmers minimize their use of nitrogen fertilizers to reduce costs, protect water quality, improve soil health, and reduce emissions.

By generating highly accurate data, quantum computing has the potential to enable AI models to better predict molecular properties, thus accelerating the design and production of sustainable, high-performance consumer goods.

Patrick Foley, co-founder of P2 Science, has dedicated his career to unlocking that one extra dimension of understanding, to learn how to mimic the way nature's chemistry operates. Patrick and the other scientists at P2 are developing AI models to design molecules that meet multiple criteria, such as being biodegradable and plant-based, which are characteristics that align with their mission of developing high-performance ingredients powered by green chemistry. By incorporating reliable quantum computing, companies like P2 could enhance and accelerate their research and development, allowing them to reach their goals faster.