Dr. Johannes Otterbach is the VP of Machine Learning Research at Merantix Labs. 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 Merantix Labs he worked as a Machine Learning and Algorithms Researcher at OpenAI, 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
Applying AI in the Wild (pdf), Zentrum fuer Optische Quantentechnologien (ZOQ), University of Hamburg, March 2021
Unsupervised Machine Learning on a Hybrid Quantum Computer (pdf, pptx), Bay Area Quantum Computing Meetup, YCombinator, February 2018
Quantum Cloud Computing (pdf, pptx), TU Kaiserslautern, Germany, January 2018
OQaml - A OCaml-based QASM, (pdf, pptx), Bay Area Quantum Computing Meetup, Rigetti, August 2017
The Curse Of Dimensionality - Visualizing High-Dimensional Datasets using t-SNE, MemSQL, June 2016
AI - En Route to Passing Turing's Test, TU Kaiserslautern, April 2016
Data Science - WTH?, TU Kaiserslautern, April 2016
D. Sreenivasaiah, J Otterbach & T. Wollmann
MEAL: Manifold Embedding-based Active Learning
arxiv:2106.11858
S. v. Baußnern, J. Otterbach, A. Loy, M. Salzmann & T. Wollmann
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows
arxiv:2105.14638
J. Otterbach & T. Wollmann
Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs
arxiv:2105.03669
J. Otterbach, J. Ward, M. P. da Silva, N. C. Rubin
Selecting parameters for a quantum approximate optimization algorithm (QAOA)
Patent number: 10846366
C. M. Wilson & Rigetti Computing
Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
arxiv:1806.08321
M. Reagor & Rigetti Computing
Demonstration of Universal Parametric Entangling Gates on a Multi-Qubit Lattice
Science Advances, 4, eaao3603 (2018)
J. Otterbach & Rigetti Computing
Unsupervised Machine Learning on a Hybrid Quantum Computer
arxiv:1712.05771
Coverage:
MIT Technology Review: A Startup Uses Quantum Computing to Boost Machine Learning
Superposition.com: Rigetti Computing Advances Machine Learning on a Quantum Computer
EdgyLabs.com: Introducing: Quantum Machine Learning
quantamagazine.org: Job One for Quantum Computers: Boost Artificial Intelligence (reprint in Wired)
Q. Wang, J. Otterbach, S. F. Yelin
Interacting in-plane molecular dipoles in a zig-zag chain
Phys. Rev. A 96, 043615
S. Caldwell & Rigetti Computing
Parametrically-Activated Entangling Gates Using Transmon Qubits
arXiv:1706.06562
J. Otterbach and M. Lemeshko
Dissipative Preparation of Spatial Order in Rydberg-Dressed Bose-Einstein Condensates
Phys. Rev. Lett. 113, 070401
F. Bariani, J. Otterbach, H. Tan, P. Meystre
Single-atom quantum control of macroscopic mechanical oscillators
Phys. Rev. A 89, 011801(R) (2014)
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)
J. Ruseckas, V. Kudriasov, G. Juzeliunas, R. G. Unanyan, J. Otterbach, M. Fleischhauer
Photonic band-gap properties for two-component slow light
Phys. Rev. A 83, 063811 (2011)
A. V. Gorshkov, J. Otterbach, M. Fleischhauer, T. Pohl, M. D. Lukin
Photon-Photon Interactions via Rydberg Blockade
Phys. Rev. Lett. 107, 133602 (2011)
D. Petrosyan, J. Otterbach, and M. Fleischhauer
Electromagnetically induced transparency with Rydberg atoms
Phys. Rev. Lett. 107, 213601 (2011)
J. Otterbach, J. Ruseckas, R. G. Unanyan, G. Juzeliunas, and M. Fleischhauer
Effective magnetic fields for stationary light
Phys. Rev. Lett. 104, 033903 (2010)
Coverage:
A. V. Gorshkov, J. Otterbach, E. Demler, M. Fleischhauer, and M. D. Lukin
Photonic Phase Gate via an Exchange of Fermionic Spin Waves in a Spin Chain
Phys. Rev. Lett. 105, 060502 (2010)
R. G. Unanyan, J. Otterbach, M. Fleischhauer, J. Ruseckas, V. Kudriasov, and G. Juzeliunas
Spinor Slow-Light and Dirac particles with variable mass
Phys. Rev. Lett. 105, 173603 (2010)
J. Otterbach, R. G. Unanyan, M. Fleischhauer
Confining stationary light: Dirac dynamics and Klein tunneling
Phys. Rev. Lett. 102, 063602 (2009)
R. G. Unanyan, J. Otterbach, M. Fleischhauer
Confinement Limit of Dirac particles in scalar 1D potentials
Phys. Rev. A 79, 044101 (2009)
F. E. Zimmer, J. Otterbach, R. G. Unanyan, B. W. Shore, M. Fleischhauer
Dark-State Polaritons for multi-component and stationary light fields
Phys. Rev. A 77, 063823 (2008)
M. Fleischhauer, J. Otterbach, R. G. Unanyan
Bose-Einstein condensation of stationary-light polaritons
Phys. Rev. Lett. 101, 163601 (2008)