The quantum-classical boundary in pharma-relevant quantum chemistry calculations

ORAL

Abstract

Chemical simulation is one of the most promising applications for future quantum computers. It is thought that quantum computers may enable accurate simulation for complex molecules that are otherwise impossible to simulate classically; that is, it displays quantum advantage. To better understand quantum advantage in chemical simulation, we explore what quantum and classical resources are required to simulate a series of pharmaceutically relevant molecules. Using classical methods, we show that reliable classical simulation of these molecules requires significant resources and therefore is a promising candidate for quantum simulation. We estimate the quantum resources, both in overall simulation time and the size. The insights from this study pave the way for future quantum simulation of complex molecules.

Publication: Goings, J. J., White, A., Lee, J., Tautermann, C. S., Degroote, M., Gidney, C., Shiozaki, T., Babbush, R., Rubin, N. C. (2022). Reliably assessing the electronic structure of cytochrome P450 on today's classical computers and tomorrow's quantum computers. Proceedings of the National Academy of Sciences, 119(38), e2203533119. doi:10.1073/pnas.220353311 arXiv:2202.01244

Presenters

  • Matthias Degroote

    • Boehringer Ingelheim Pharm Inc

Authors

  • Matthias Degroote

    • Boehringer Ingelheim Pharm Inc
  • Joshua Goings

    • IonQ, Inc
    • IonQ
    • Google
  • Alec F White

    • Caltech
  • Joonho Lee

    • Columbia University
  • Christofer Tautermann

    • Boehringer Ingelheim
    • Boehringer Ingelheim Pharma Inc.
    • Boehringer-Ingelheim
  • Craig M Gidney

    • Google LLC
  • Toru Shiozaki

    • Northwestern University
  • Ryan Babbush

    • Google
  • Nicholas C Rubin

    • Google