Sven Köppel: Research
I am a theoretical physicist with a background in applied mathematics, mathematical physics and computer science. My current research focus is on exotic computing approaches, such as analog computing, quantum computing or neuromorphic architectures.
I graduated with a PhD thesis on numerical and quantum general relativity at Goethe-Universität Frankfurt in 2019. A major research interest during my studies was exotic high energy physics and quantum field theory. On the field of applied mathematics, I studied advanced numerical methods for partial differential equations. I worked on exascale methods for solving hyperbolic equations within the European ExaHyPE project.
Analog computing is a rediscovered branch of science which was beaten by digital (i.e. algorithmic/numeric) computing in the 1980s. In the dawn of Moore's law, this branch of classical computing percieves a revival. Based on the experience of programmable hardware (FPGAs), it is tangible to build large analog circuits to solve differential equations in a time- and energy-efficient way beyond digital computing. I am part of a German-based team which tries to develop a prototypical analog computer on a chip within the next few years.
There is a rich scientific landscape waiting to be discovered all around this exotic branch of computer science and intersection between electrical engineering, computational science and applied mathematics. Many concepts of numerical mathematics can be transfered and connections to other contemporary attempts to computing, namely quantum computing and artificial intelligence, are all along the way. It is an exciting time where analog circuits can make a radical difference in the computational accessibility of the largest problems in the world.
Here are a few recent publications in the context of analog computing:
- Köppel, Ulmann, Heimann, Killat: Using analog computers in today's largest computational challenges, to be published in a Special Issue of the open-access journal "Advances in Radio Science", February 2021, preprint at arXiv:2102.07268
- Köppel, Krause, Ulmann: Analog Computing for Molecular Dynamics, July 2021, submitted to Emerging Topics in Computing, IEEE Trans, preprint at arXiv:2107.06283
My Scientific Publications
You can read my publications list, but you better head on to the more recent listings at Inspire-HEP, NASA-ADS, DBLP ArXiV. In the past, I wrote a couple of outreach press/blog posts.
You can read my PhD thesis about high-order methods in fully general-relativistic hydrodynamics and magnetohydrodynamics [DNB] and my Master thesis about ultraviolet improved black holes [DNB].
The mathematics genealogy project has an entry about me, als DNB has one. I have a ResearchGate profile and my ORCID is 0000-0003-2303-7765.