Martin Kliesch | DeepAI

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Featured Co-authors

Peter Jung
39 publications
Jens Eisert
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Richard Kueng
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Ingo Roth
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Sevag Gharibian
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Shelby Kimmel
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Yi-Kai Liu
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David Gross
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Lennart Bittel
2 publications
Stanislaw J. Szarek
1 publication
Alexander Gresch
1 publication

research

∙ 11/22/2022

Optimizing the depth of variational quantum algorithms is strongly QCMA-hard to approximate

Variational Quantum Algorithms (VQAs), such as the Quantum Approximate O...

0 Lennart Bittel, et al. ∙

research

∙ 02/17/2022

Scalable approach to many-body localization via quantum data

We are interested in how quantum data can allow for practical solutions ...

0 Alexander Gresch, et al. ∙

research

∙ 04/16/2019

Simultaneous structures in convex signal recovery - revisiting the convex combination of norms

In compressed sensing one uses known structures of otherwise unknown sig...

0 Martin Kliesch, et al. ∙

research

∙ 03/01/2018

Recovering quantum gates from few average gate fidelities

Characterising quantum processes is a key task in and constitutes a chal...

0 Ingo Roth, et al. ∙