Hello!
You've found Markus Hauru.
I'm doing things, such as
├─ Working at the Alan Turing Institute as a Senior Research Data Scientist/Software Engineer, developing the Turing.jl probabilistic programming language.
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└─ ???
Feel free to contact me at markus@mhauru.org.
Things I've gotten done:
├─ Contributions to various open source scientific software projects.
│ ├─ Work on Turing.jl
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│ ├─ Work on two digital twin projects: DTBase and CROP
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│ ├─ Work on a synthetic data generation tool with differential privacy features.
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│ └─ Libraries for various tensor network methods and algorithms, such as MERA, Gilt-TNR, and others: 1, 2, 3
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├─ An interactive probabilistic calculator comparing the finances of renting vs buying a home.
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├─ A web-based musical instrument in just intonation tuning.
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├─ My PhD thesis (UWaterloo/Perimeter Institute, 2018), which is really nothing but a collection of my publications (below) with an introduction.
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├─ My Master's thesis (U of Helsinki, 2014), on MERA.
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├─ Some fun analyses of public datasets:
│ ├─ Predicting usage of Boris Bikes from seasonal trends and weather data
│ │ github.com/mhauru/boris-bike-forecast.
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│ └─ Exploratory data analysis of the EThOS data set of UK PhD thesis metadata
│ github.com/mhauru/EThOS-analysis.
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└─ Academic publications, mostly but not exclusively on quantum physics and numerial simulation thereof:
├─ T.E. Fjelde, K. Xu, D. Widmann, M. Tarek, C. Pfiffer, M. Trapp, S.D. Axen, X. Sun, M. Hauru, P. Yong, W. Tebbutt, Z. Ghahramani, H. Ge
│ Turing.jl: a general-purpose probabilistic programming language,
│ 2025, doi.org/10.1145/3711897.
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├─ R. Ward, R. Choudary, M. Jans Singh, F. Roumpani, T. Lazauskas, M. Yong, N. Barlow, M. Hauru
│ The challenges of using live-streamed data in a predictive digital twin,
│ 2022, doi.org/10.1080/19401493.2023.2187463.
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├─ M. Ganahl, J. Beall, M. Hauru, A.G.M. Lewis, J. Hyeon Yoo, Y. Zou, G. Vidal
│ Density Matrix Renormalization Group with Tensor Processing Units,
│ 2022, arXiv: 2204.05693.
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├─ R. Shillito, A. Petrescu, J. Cohen, J. Beall, M. Hauru, M. Ganahl, A.G.M. Lewis, G. Vidal, A. Blais
│ Dynamics of transmon ionization,
│ 2022, arXiv: 2203.11235.
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├─ R. Pederson, J. Kozlowski, R. Song, J. Beall, M. Ganahl, M. Hauru, A.G.M. Lewis, Y. Yao, S. Basu Mallick, V. Blum, G. Vidal
│ Large scale quantum chemistry with Tensor Processing Units,
│ 2022, arXiv: 2202.01255.
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├─ A.G.M. Lewis, J. Beall, M. Ganahl, M. Hauru, S. Basu Mallick, G. Vidal
│ Large scale distributed linear algebra with Tensor Processing Units,
│ 2021, arXiv: 2112.09017.
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├─ M. Hauru, A. Morningstar, J. Beall, M. Ganahl, A.G.M. Lewis, G. Vidal
│ Simulation of quantum physics with Tensor Processing Units: brute-force computation of ground states and time evolution
│ 2021, arXiv: 2111.10466.
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├─ A. Morningstar, M. Hauru, J. Beall, M. Ganahl, A.G.M. Lewis, V. Khemani, G. Vidal
│ Simulation of quantum many-body dynamics with Tensor Processing Units: Floquet prethermalization,
│ 2021, arXiv: 2111.08044.
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├─ M. Hauru, M. Van Damme, J. Haegeman
│ Riemannian optimization of isometric tensor networks,
│ 2020, arXiv: 2007.03638.
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├─ K. Van Acoleyen, A. Hallam, M. Bal, M. Hauru, J. Haegeman, F. Verstraete
│ Entanglement compression in scale space: from the multiscale entanglement renormalization ansatz to matrix product operators,
│ 2019, arXiv: 1912.10572.
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├─ M. Hauru, G. Vidal
│ Uhlmann fidelities from tensor networks,
│ 2018, arXiv: 1807.01640.
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├─ M. Hauru, C. Delcamp, S. Mizera
│ Renormalization of tensor networks using graph independent local truncations,
│ 2017, arXiv: 1709.07460.
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├─ M. Hauru, G. Evenbly, W. W. Ho, D. Gaiotto, G. Vidal
│ Topological conformal defects with tensor networks,
│ 2015, arXiv: 1512.03846.
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└─ LHC Higgs Cross Section Working Group: S. Dittmaier, C. Mariotti, G. Passarino et al.
Handbook of LHC Higgs Cross Sections: 2. Differential Distributions,
2012, arxiv: 1201.3084.
I last updated this page on 2025-07-13.