Jakob Unfried
Consultant at Basycon Unternehmensberatung GmbH
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolJakob Unfried is a consultant and physicist with nine years of experience specializing in tensor network methods for condensed matter systems and quantum computing research. He completed a PhD and postdoctoral work at the Technical University of Munich, where he taught and mentored students while developing simulation tools and experimental skills ranging from ultracold neutron systems to numerical many-body techniques. Now based in Munich, he bridges academic depth and industry-facing consulting, applying rigorous computational methods to practical problems. Known for combining hands-on coding in tensor network simulations with a strong foundation in experimental physics, he brings both theoretical insight and practical engineering discipline to complex quantum and condensed-matter challenges.
9 years of coding experience
Allgemeine Hochschulreife Physics Chemistry, Allgemeine Hochschulreife Physics Chemistry at Schule Schloss SalemMaster of Science - MS Condensed Matter Physics, Master of Science - MS Condensed Matter Physics at Technical University of MunichNorwegian University of Science and Technology
German, English, French, bokmål, norwegisch, griechisch, alt (bis 1453)
Github Skills (62)
autodiff10
pytorch10
python10
acceleration10
machine-learning10
tpu10
numpy10
automatic-differentiation10
deep-learning10
tensorflow10
gpu10
composable10
autograd10
neural-network10
tensor10
Programming languages (5)
Github contributions (5)
tenpy/cyten
Nov 2024 - Apr 2025
combination of Cytnx with TeNPy version 2 linalg implementation
Contributions:29 PRs, 52 pushes, 27 branches in 4 months
Jakob-Unfried/BSc-Thesis-MERA
Apr 2017 - Aug 2017
Contributions:2 PRs, 79 pushes, 4 branches in 4 months
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