Today’s chemical problems experience bottlenecks arising from the translation of a quantum physical problem into a classical mathematical approximation. In that translation, the “image” of the problem is degraded and the information we receive is degraded as well. This results in reduced chemical accuracy or even the wholesale inability to probe certain dynamics, like chemical reactions.

Quantum computing removes this computational bottleneck, keeping quantum models in the quantum domain.

Pharmaceutical organizations are investing in quantum computing

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Berkeley Lab
Imperial College London
Northwestern University
USC Viterbi School of Engineering