Short Bio

Dr. Johannes Otterbach is a Machine Learning and Algorithms Researcher at OpenAI working on fundamental question to build safe Artifical General Intelligence (AGI). He has a passion for big data technologies and applications to real world problems and is an established scientist with more than 15 publications in high impact journals and has won several awards. Before joining OpenAI he worked as a Quantum Engineer at Rigettti, as a Senior Data Scientist at LendUp and as a software engineer at Palantir Technologies. He earned his Ph.D. in Physics from the University of Kaiserslautern, Germany in topics related to Quantum Computing and held a postdoctoral fellowship in the Harvard Physics department where he broadened his interests in research and computational problems.

More details are in the (more or less up-to-date) resume




  • C. M. Wilson, J. S. Otterbach, N. Tezak, R. S. Smith, G. E. Crooks, M. P. da Silva
    Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
  • M. Reagor & Rigetti Computing
    Demonstration of Universal Parametric Entangling Gates on a Multi-Qubit Lattice
    Science Advances, 4, eaao3603 (2018)




  • J. Otterbach, M. Moos, D. Muth, M. Fleischhauer
    Wigner Crystallization of Single Photons in Cold Rydberg Ensembles
    Phys. Rev. Lett. 111, 113001 (2013)
  • E. G. Dalla Torre, J. Otterbach, E. Demler, V. Vuletic, M. D. Lukin
    Dissipative Preparation of Spin Squeezed Atomic Ensembles in a Steady State
    Phys. Rev. Lett. 110, 120402 (2013)
  • S. D. Bennett, N. Y. Yao, J. Otterbach, P. Zoller, P. Rabl, M. D. Lukin
    Phonon-induced spin-spin interactions in diamond nanostructures: application to spin squeezing
    Phys. Rev. Lett. 110, 156402 (2013)


  • M. J. Edmonds, J. Otterbach, R. G. Unanyan, M. Fleischhauer, M. Titov, P. Ă–hberg
    From Anderson to anomalous localization in cold atomic gases with effective spin-orbit coupling
    New J. Phys. 14, 073056 (2012)