Martin Kliesch

25 papers A 1Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantum and quantum-inspired computing in civil engineering. Adv. Eng. Informatics Joern Ploennigs, Kay Smarsly, Markus Berger, Kosmas Dragos, Martin Kliesch
2025	—	`conf`	A Hybrid Quantum-Inspired and Deep Learning Approach for the Capacitated Vehicle Routing Problem with Time Windows. LION (2) Jorin Dornemann, Salwa Shaglel, Martin Kliesch, Anusch Taraz
2025	J	`jnl`	A comprehensive benchmark of an Ising machine on the Max-Cut problem. CoRR Salwa Shaglel, Markus Kirsch, Marten Winkler, Christian Münch, Stefan Walter, Fritz Schinkel, Martin Kliesch
2025	J	`jnl`	Classical certification of quantum gates under the dimension assumption. Quantum Jan Nöller, Nikolai Miklin, Martin Kliesch, Mariami Gachechiladze
2024	J	`jnl`	Time-optimal multi-qubit gates: Complexity, efficient heuristic and gate-time bounds. Quantum Pascal Baßler, Markus Heinrich, Martin Kliesch
2023	J	`jnl`	Closed-form analytic expressions for shadow estimation with brickwork circuits. Quantum Inf. Comput. Mirko Arienzo, Markus Heinrich, Ingo Roth, Martin Kliesch
2023	J	`jnl`	Distance-based resource quantification for sets of quantum measurements. Quantum Lucas Tendick, Martin Kliesch, Hermann Kampermann, Dagmar Bruß
2023	J	`jnl`	Synthesis of and compilation with time-optimal multi-qubit gates. Quantum Pascal Baßler, Matthias Zipper, Christopher Cedzich, Markus Heinrich, Patrick H. Huber, Michael Johanning, Martin Kliesch
2023	A	`conf`	The Optimal Depth of Variational Quantum Algorithms Is QCMA-Hard to Approximate. CCC Lennart Bittel, Sevag Gharibian, Martin Kliesch
2022	J	`jnl`	Optimizing the depth of variational quantum algorithms is strongly QCMA-hard to approximate. CoRR Lennart Bittel, Sevag Gharibian, Martin Kliesch
2022	J	`jnl`	Pauli channels can be estimated from syndrome measurements in quantum error correction. Quantum Thomas Wagner, Hermann Kampermann, Dagmar Bruß, Martin Kliesch
2022	J	`jnl`	Scalable approach to many-body localization via quantum data. CoRR Alexander Gresch, Lennart Bittel, Martin Kliesch
2020	J	`jnl`	Reliable Recovery of Hierarchically Sparse Signals for Gaussian and Kronecker Product Measurements. IEEE Trans. Signal Process. Ingo Roth, Martin Kliesch, Axel Flinth, Gerhard Wunder, Jens Eisert
2019	J	`jnl`	Guaranteed recovery of quantum processes from few measurements. Quantum Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2019	J	`jnl`	Simultaneous Structures in Convex Signal Recovery - Revisiting the Convex Combination of Norms. Frontiers Appl. Math. Stat. Martin Kliesch, Stanislaw J. Szarek, Peter Jung
2019	J	`jnl`	Simultaneous structures in convex signal recovery - revisiting the convex combination of norms. CoRR Martin Kliesch, Stanislaw J. Szarek, Peter Jung
2018	J	`jnl`	Comments on "Improving Compressed Sensing With the Diamond Norm"-Saturation of the Norm Inequalities Between Diamond and Nuclear Norm. IEEE Trans. Inf. Theory Ulrich Michel, Martin Kliesch, Richard Kueng, David Gross
2018	J	`jnl`	Recovering quantum gates from few average gate fidelities. CoRR Ingo Roth, Richard Kueng, Shelby Kimmel, Yi-Kai Liu, David Gross, Jens Eisert, Martin Kliesch
2017	J	`jnl`	Guaranteed recovery of quantum processes from few measurements. CoRR Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2016	J	`jnl`	Improving Compressed Sensing With the Diamond Norm. IEEE Trans. Inf. Theory Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2016	J	`jnl`	Note on the saturation of the norm inequalities between diamond and nuclear norm. CoRR Ulrich Michel, Martin Kliesch, Richard Kueng, David Gross
2016	J	`jnl`	Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
2016	J	`jnl`	Reliable recovery of hierarchically sparse signals and application in machine-type communications. CoRR Ingo Roth, Martin Kliesch, Gerhard Wunder, Jens Eisert
2015	J	`jnl`	Improving compressed sensing with the diamond norm. CoRR Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2013	J	`jnl`	Boson-Sampling in the light of sample complexity. CoRR Christian Gogolin, Martin Kliesch, Leandro Aolita, Jens Eisert