dr. johannes otterbach

Publications, talks & media

Everything in one place.

Papers, patents, talks, podcasts, and press, from quantum optics at Kaiserslautern University and Harvard to quantum computing at Rigetti, machine learning at Merantix, and frontier AI in Europe.

Also on Google Scholar ORCID

Podcasts 6

  1. 2026
    The Race for a BillionIndustrial AI Podcast
  2. 2025
    Episode 117SPRIND – Der Podcast, with Mirko Holzer
  3. 2025
    YOLO-Runs, Scaling Laws und die Zukunft europäischer KIAI to the DNA
  4. 2024
    Episode 85SPRIND – Der Podcast, with Thomas Ramge
  5. 2024
    Für die Zukunft Europas statt OpenAISeedbox Boost with AI
  6. Unlocking ML for Traditional CompaniesGradient Dissent by Weights & Biases, with Lukas Biewald

Talks & panels 14

  1. 2025
    Next Frontier AI launch sessionEurIPS, Copenhagennext-frontier.ai
  2. 2021
    Applying AI in the WildZentrum für Optische Quantentechnologien, University of HamburgSlides (PDF)
  3. 2020
    Physiker im BerufDeutsche Physikalische Gesellschaft, young members' group KaiserslauternEvent
  4. 2018
    Unsupervised Machine Learning on a Hybrid Quantum ComputerBay Area Quantum Computing Meetup, Y CombinatorSlides (PDF)
  5. 2018
    Quantum Cloud ComputingTU KaiserslauternSlides (PDF)
  6. 2017
    OQaml: an OCaml-based QASMBay Area Quantum Computing Meetup, RigettiSlides (PDF)
  7. 2016
    The Curse of Dimensionality: Visualizing High-Dimensional Datasets using t-SNEMemSQL, San Francisco
  8. 2016
    AI: En Route to Passing Turing's TestTU Kaiserslautern
  9. 2016
    Data Science: WTH?TU Kaiserslautern
  10. Impact of LLMs on Energy & SustainabilityNLP + Climate Tech event by briink, AI Campus BerlinVideo
  11. GPT-3 and OpenAI DALL·EKI Park Tech TalkVideo
  12. Countering Manipulation & Fake News: AI, the Silver Bullet?GovTech sessionVideo
  13. Upgrading Germany's Technology Playbook (panel)AIDAQ, Berlin
  14. Unsupervised Machine Learning on the Rigetti Quantum ComputerArgonne Leadership Computing Facility seminar

Interviews & press 6

  1. 2026
    Next Frontier AI by SPRIND: ten teams selected to take on the world's leading AI labsSPRIND press releaseEnglish · Deutsch
  2. 2026
    This initiative exists to bring Europe back to the tableNext Frontier AI, Q&Asprind.org
  3. 2023
    KI-Startup nyonic will generative KI-Modelle für Europa entwickelnThe Decoderthe-decoder.de
  4. 2023
    KI – plötzlich sehen wir ganz schön alt ausCapital, by Hannah SchwärCapital 04/2023
  5. Mit der LEAM-Initiative unterstützen wir Unternehmen, große KI-Sprachmodelle zu trainiereneco Verband, by Hanna SissmannDeutsch · English
  6. Die 1-Milliarde-Dollar-Organisation, die ethische KI entwickeltStiftung Neue Verantwortung, by Philipp LorenzTranscript (German)

Papers 36

  1. 2025
    Nonequilibrium Universality of Rydberg-Excitation Spreading on a Dynamic NetworkD. Brady, S. Ohler, J. Otterbach & M. FleischhauerPhys. Rev. Research 7, 033167 (2025)arXiv:2502.14757
  2. 2024
    Anomalous Directed Percolation on a Dynamic Network using Rydberg FacilitationD. Brady, S. Ohler, J. Otterbach & M. FleischhauerPreprintarXiv:2404.16523
  3. 2023
    Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive ModelsJ. Siems, K. Ditschuneit, W. Ripken, A. Lindborg, M. Schambach, J. S. Otterbach & M. GenzelNeurIPS 2023; earlier version at IMLH @ ICML 2023arXiv:2305.11475 · OpenReview
  4. 2023
    Self-Distilled Representation Learning for Time SeriesF. Pieper, K. Ditschuneit, M. Genzel, A. Lindt & J. OtterbachPreprintarXiv:2311.11335
  5. 2023
    Scaling Experiments in Self-Supervised Cross-Table Representation LearningM. Schambach, D. Paul & J. OtterbachTRL @ NeurIPS 2023arXiv:2309.17339 · OpenReview
  6. 2023
    Filling the Gap: Fault-Tolerant Updates of On-Satellite Neural Networks Using Vector QuantizationO. Kondrateva, S. Dietzel, M. Schambach, J. S. Otterbach & B. ScheuermannIFIP Networking 2023
  7. 2023
    Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic SegmentationA. Koenig, M. Schambach & J. S. OtterbachSAIAD @ ICCV 2023arXiv:2304.07314
  8. 2023
    Interpretable Reinforcement Learning via Neural Additive Models for Inventory ManagementJ. Siems, M. Schambach, S. Schulze & J. S. OtterbachAI4ABM @ ICLR 2023arXiv:2303.10382 · OpenReview
  9. 2023
    NAM-CAM: Neural-Additive Models for Semi-Analytic Descriptions of CAM SimulationsK. Ditschuneit, A. Frenk, M. Frings, V. Rudel, S. Dietzel & J. S. OtterbachFAIM 2023PDF
  10. 2022
    Learning the Solution Operator of Boundary Value Problems using Graph Neural NetworksW. Lötzsch, S. Ohler & J. S. OtterbachAI4Science @ ICML 2022arXiv:2206.14092 · OpenReview
  11. 2022
    Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural NetworksS. Ohler, D. S. Brady, W. Lötzsch, M. Fleischhauer & J. S. OtterbachAI4Science @ ICML 2022arXiv:2207.08927 · OpenReview
  12. 2022
    Auto-Compressing Subset Pruning for Semantic Image SegmentationK. Ditschuneit & J. S. OtterbachGCPR 2022arXiv:2201.11103 · Springer
  13. 2021
    MEAL: Manifold Embedding-based Active LearningD. Sreenivasaiah, J. Otterbach & T. WollmannICCV Workshops 2021arXiv:2106.11858
  14. 2021
    DAAIN: Detection of Anomalous and Adversarial Input using Normalizing FlowsS. v. Baußnern, J. Otterbach, A. Loy, M. Salzmann & T. WollmannPreprintarXiv:2105.14638
  15. 2021
    Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEsJ. Otterbach & T. WollmannKI-KMU 2021arXiv:2105.03669
  16. 2018
    Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computersC. M. Wilson & Rigetti ComputingPreprintarXiv:1806.08321
  17. 2018
    Demonstration of Universal Parametric Entangling Gates on a Multi-Qubit LatticeM. Reagor & Rigetti ComputingScience Advances 4, eaao3603 (2018)Science Advances
  18. 2018
    Parametrically Activated Entangling Gates Using Transmon QubitsS. Caldwell & Rigetti ComputingPhys. Rev. Applied 10, 034050 (2018)arXiv:1706.06562
  19. 2017
    Unsupervised Machine Learning on a Hybrid Quantum ComputerJ. Otterbach & Rigetti ComputingPreprintarXiv:1712.05771Coverage: MIT Technology Review · Quanta Magazine · Wired
  20. 2017
    Interacting in-plane molecular dipoles in a zig-zag chainQ. Wang, J. Otterbach & S. F. YelinPhys. Rev. A 96, 043615 (2017)APS
  21. 2014
    Dissipative Preparation of Spatial Order in Rydberg-Dressed Bose-Einstein CondensatesJ. Otterbach & M. LemeshkoPhys. Rev. Lett. 113, 070401 (2014)APS
  22. 2014
    Single-atom quantum control of macroscopic mechanical oscillatorsF. Bariani, J. Otterbach, H. Tan & P. MeystrePhys. Rev. A 89, 011801(R) (2014)APS
  23. 2013
    Wigner Crystallization of Single Photons in Cold Rydberg EnsemblesJ. Otterbach, M. Moos, D. Muth & M. FleischhauerPhys. Rev. Lett. 111, 113001 (2013)APS
  24. 2013
    Dissipative Preparation of Spin Squeezed Atomic Ensembles in a Steady StateE. G. Dalla Torre, J. Otterbach, E. Demler, V. Vuletic & M. D. LukinPhys. Rev. Lett. 110, 120402 (2013)APS
  25. 2013
    Phonon-induced spin-spin interactions in diamond nanostructures: application to spin squeezingS. D. Bennett, N. Y. Yao, J. Otterbach, P. Zoller, P. Rabl & M. D. LukinPhys. Rev. Lett. 110, 156402 (2013)APS
  26. 2012
    From Anderson to anomalous localization in cold atomic gases with effective spin-orbit couplingM. J. Edmonds, J. Otterbach, R. G. Unanyan, M. Fleischhauer, M. Titov & P. ÖhbergNew J. Phys. 14, 073056 (2012)IOP
  27. 2011
    Photonic band-gap properties for two-component slow lightJ. Ruseckas, V. Kudriasov, G. Juzeliunas, R. G. Unanyan, J. Otterbach & M. FleischhauerPhys. Rev. A 83, 063811 (2011)APS
  28. 2011
    Photon-Photon Interactions via Rydberg BlockadeA. V. Gorshkov, J. Otterbach, M. Fleischhauer, T. Pohl & M. D. LukinPhys. Rev. Lett. 107, 133602 (2011)APS
  29. 2011
    Electromagnetically induced transparency with Rydberg atomsD. Petrosyan, J. Otterbach & M. FleischhauerPhys. Rev. Lett. 107, 213601 (2011)APS
  30. 2010
    Effective magnetic fields for stationary lightJ. Otterbach, J. Ruseckas, R. G. Unanyan, G. Juzeliunas & M. FleischhauerPhys. Rev. Lett. 104, 033903 (2010)APSCoverage: PhysOrg
  31. 2010
    Photonic Phase Gate via an Exchange of Fermionic Spin Waves in a Spin ChainA. V. Gorshkov, J. Otterbach, E. Demler, M. Fleischhauer & M. D. LukinPhys. Rev. Lett. 105, 060502 (2010)APS
  32. 2010
    Spinor Slow-Light and Dirac particles with variable massR. G. Unanyan, J. Otterbach, M. Fleischhauer, J. Ruseckas, V. Kudriasov & G. JuzeliunasPhys. Rev. Lett. 105, 173603 (2010)APS
  33. 2009
    Confining stationary light: Dirac dynamics and Klein tunnelingJ. Otterbach, R. G. Unanyan & M. FleischhauerPhys. Rev. Lett. 102, 063602 (2009)APS
  34. 2009
    Confinement Limit of Dirac particles in scalar 1D potentialsR. G. Unanyan, J. Otterbach & M. FleischhauerPhys. Rev. A 79, 044101 (2009)APS
  35. 2008
    Dark-State Polaritons for multi-component and stationary light fieldsF. E. Zimmer, J. Otterbach, R. G. Unanyan, B. W. Shore & M. FleischhauerPhys. Rev. A 77, 063823 (2008)APS
  36. 2008
    Bose-Einstein condensation of stationary-light polaritonsM. Fleischhauer, J. Otterbach & R. G. UnanyanPhys. Rev. Lett. 101, 163601 (2008)APS

Patents 4

  1. 2023
    Using a quantum processor unit to preprocess dataJ. S. Otterbach, C. M. Wilson, M. P. da Silva, N. A. Tezak & G. E. CrooksUS 11551127 B1
  2. 2022
    Utilizing multiple quantum processor unit (QPU) instancesM. J. Reagor, B. R. Johnson, M. P. da Silva, J. S. Otterbach, N. A. Tezak & C. T. RigettiUS 11521103 B1
  3. 2022
    Quantum state blockchainR. S. Smith, N. C. Rubin & J. S. OtterbachUS 11477015 B1
  4. 2020
    Selecting parameters for a quantum approximate optimization algorithm (QAOA)J. Otterbach, J. Ward, M. P. da Silva & N. C. RubinUS 10846366 B1

Studies & reports 1

  1. 2023
    Große KI-Modelle für DeutschlandLEAM:AI consortium, on behalf of the Federal Ministry for Economic Affairs and Climate Action (in German)
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