Solving problems with greater accuracy is key to gaining strategic advantage in industrial chemistry. Bottlenecks arising from the translation of a quantum physical problem into a classical mathematical approximation limits industrial chemistry - leading to reduced chemical accuracy or even the wholesale inability to probe certain dynamics, like chemical reactions.
Quantum computing removes this computational bottleneck and keeps quantum models in the quantum domain. The result is a clearer representation of the underlying problem - in computational chemistry, small gains in accuracy can produce huge wins in capability.
We build educational and developer tools that help materials science and chemistry experts take advantage of the quantum opportunity.