Dr Johannes Bausch

Career

  • 2017-today: Draper's Company Junior Research Fellow, Pembroke College,
    CQIF, University of Cambridge
  • 2015-18: Honorary Research Assistant,
    University College London
  • 2014-17: PhD in Quantum Information, DAMTP, St John's College,
    CQIF, University of Cambridge
  • April-June 2016 and July-August 2017: Visiting Student Researcher,
    IQI, California Institute of Technology
  • 2012-13: MASt in Pure Mathematics and Theoretical Physics, DPMMS, St John's College,
    University of Cambridge
  • 2011-12: Exchange Year, Theoretical Physics,
    Cornell University
  • 2008-11: BSc in Physics,
    University of Heidelberg

Awards

  • 2018: AHP-Birkhauser prize (jointly with Toby Cubitt and Maris Ozols)
  • 2018: AI Grant for the search for new error correcting codes (together with Felix Leditzky)
  • 2017: EPSRC Doctoral Prize Award
  • 2016: 2nd price in Microsoft's Quantum Challenge for a quantum data classifier (LiQuID Learn)
  • 2014-17: PhD Studentship German Academic Scholarship Foundation
  • 2011-12: Cornell-Heidelberg fellowship

For my full CV please send me an e-mail.

Some selected information and links to papers&talks can also be found below.

 

Research Interest

I am researching the interplay between quantum mechanics and computer science, such as Hamiltonian complexity and quantum dissipative systems. My current research focus is on the local Hamiltonian problem and related topics in condensed matter physics, how systems described by local interactions are able to perform universal computation, as well as quantum neural networks and their link to quantum error correction and communication. My general interest ranges from quantum and high energy physics to pure mathematics, analysis and probability, as well as computer science, especially algorithms, machine learning, and simulations.

I have extensive experience with neural networks and various libraries, both for training quantum systems as well as for natural language processing. I love programming, and have expert-level coding skills in C++17, python, and Mathematica, as well as some more niche knowledge in programming GPU hardware. See my bitbucket.org/rumschuettel and my github.com/rumschuettel for a few publicly-released projects.

 

Publications and Preprints

 

I've also written two blog posts for the blog "Quantum Frontiers" hosted by Caltech's IQIM, one on the Feynman-Kitaev encoding (2017), and one on predicting the World Cup winner using a quantum algorithm (2018).

 

Invited Talks and Conference Presentations

  • QIP 2019 in Boulder, Co, USA. Undecidability of the Spectral Gap in 1D. Joint work with Toby Cubitt, Angelo Lucia and David Perez-Garcia.
  • 22nd Symposium on Quantum Information in Leeds (invited talk). Undecidability of the Spectral Gap in 1D
  • QuID 2018 in Zürich, Italy (invited lecture). Principles of Quantum Algorithms
  • QTML 2017 in Verona, Italy. Quantum Neural Networks: a Hamiltonian Complexity Approach
  • STRUCTURES, June 2017, in Heidelberg (invited talk): The Complexity of Translationally Invariant Spin Systems with Low Dimension. Joint work with Toby Cubitt, Maris Ozols, Stephen Piddock, and Elizabeth Crosson.
  • Heilbronn and QALGO Quantum Algorithms Meeting 2016 in Cambridge, UK (invited talk): The Complexity of Translationally Invariant Spin Chains with Low Dimension. Joint work with Toby Cubitt and Maris Ozols.
  • QIP 2016 in Banff, Canada: The Complexity of Translationally Invariant Spin Chains with Low Local Dimension.
  • AQIS 2015 in Seoul, South Korea: The Complexity of Divisibility. Joint work with Toby Cubitt.
  • QIPC 2015 in Leeds, UK: The Complexity of Divisibility.
  • Further invited seminars at UCL (2015 and 2019), Universidad Complutense de Madrid (MathQI Seminar in 2015, 2017 and 2018), University of Bristol (2016), Caltech (IQI Seminar in 2016, 2018 and 2019), Heidelberg (Seminar on the Theory of Complex Systems in 2017), University of Colorado Boulder (2018), University of Maryland (QuICS Seminar in 2018), and Amsterdam (QuSoft Seminar in 2018).

Posters

  • SQuInT 2019 in Albuquerque, USA: Quantum Codes from Neural Networks   BEST POSTER AWARD
  • QIP 2019 in Boulder, USA: Quantum Codes from Neural Networks
  • QIP 2019 in Boulder, USA: Perturbation Gadgets: Arbitrary Energy Scales from a Single Strong Interaction
  • QIP 2017 in Seattle, USA: Size Driven Quantum Phase Transitions   BEST POSTER AWARD
    download
  • QIP 2017 in Seattle, USA: Increasing the Quantum UNSAT Penalty
    download
  • YQIS 2016 in Barcelona, Spain, and QIP 2017 in Seattle, USA: The Complexity of Low-Dimensional Spin Lattices in 3D
    download
  • Microsoft Faculty Summit 2016 in Seattle, USA: Quantum Neural Networks: a Hamiltonian Complexity Approach
    download
  • QIP 2015 in Sydney, Australia: The Complexity of Divisibility.
    download