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.

Industrial organizations are investing in quantum computing

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Berkeley Lab
Bleximo
Fermilab
IBM
Imperial College London
NIST
Northwestern University
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USC Viterbi School of Engineering