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Martin Gärttner
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2020 – today
- 2023
- [j3]Jonathan Schwarz, Jonas Cassel, Bastian Boll, Martin Gärttner, Peter Albers, Christoph Schnörr:
Quantum State Assignment Flows. Entropy 25(9): 1253 (2023) - [c2]Jonathan Schwarz, Bastian Boll, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Martin Gärttner, Peter Albers, Christoph Schnörr:
Quantum State Assignment Flows. SSVM 2023: 743-756 - [i4]Jonathan Schwarz, Jonas Cassel, Bastian Boll, Martin Gärttner, Peter Albers, Christoph Schnörr:
Quantum State Assignment Flows. CoRR abs/2307.00075 (2023) - 2022
- [j2]Moritz Reh, Martin Gärttner:
Variational Monte Carlo approach to partial differential equations with neural networks. Mach. Learn. Sci. Technol. 3(4): 4 (2022) - [c1]Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici:
Quantum many-body states: A novel neuromorphic application. NICE 2022: 104-106 - [i3]Moritz Reh, Martin Gärttner:
Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks. CoRR abs/2206.01927 (2022) - 2021
- [i2]Robert Klassert, Andreas Baumbach, Mihai A. Petrovici, Martin Gärttner:
Variational learning of quantum ground states on spiking neuromorphic hardware. CoRR abs/2109.15169 (2021) - 2020
- [i1]Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner:
Spiking neuromorphic chip learns entangled quantum states. CoRR abs/2008.01039 (2020)
2010 – 2019
- 2016
- [j1]Michael L. Wall, Arghavan Safavi-Naini, Martin Gärttner:
Many-body quantum mechanics: too big to fail? XRDS 23(1): 25-29 (2016)
Coauthor Index
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