Martin Kliesch

Orcid: 0000-0002-8009-0549

Affiliations:
  • Hamburg University of Technology, Institute for Quantum-Inspired and Quantum Optimization, Germany
  • Heinrich Heine University of Düsseldorf, Institute for Theoretical Physics, Germany
  • University of Gdańsk, Institute of Theoretical Physics and Astrophysics, Gdańsk, Poland
  • University of Cologne, Institute for Theoretical Physics, Germany
  • Free University of Berlin, Department of Physics, Germany (PhD 2015)


According to our database1, Martin Kliesch authored at least 18 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Time-optimal multi-qubit gates: Complexity, efficient heuristic and gate-time bounds.
Quantum, March, 2024

2023
Closed-form analytic expressions for shadow estimation with brickwork circuits.
Quantum Inf. Comput., September, 2023

Distance-based resource quantification for sets of quantum measurements.
Quantum, May, 2023

Synthesis of and compilation with time-optimal multi-qubit gates.
Quantum, April, 2023

The Optimal Depth of Variational Quantum Algorithms Is QCMA-Hard to Approximate.
Proceedings of the 38th Computational Complexity Conference, 2023

2022
Pauli channels can be estimated from syndrome measurements in quantum error correction.
Quantum, September, 2022

Optimizing the depth of variational quantum algorithms is strongly QCMA-hard to approximate.
CoRR, 2022

Scalable approach to many-body localization via quantum data.
CoRR, 2022

2020
Reliable Recovery of Hierarchically Sparse Signals for Gaussian and Kronecker Product Measurements.
IEEE Trans. Signal Process., 2020

2019
Simultaneous Structures in Convex Signal Recovery - Revisiting the Convex Combination of Norms.
Frontiers Appl. Math. Stat., 2019

2018
Comments on "Improving Compressed Sensing With the Diamond Norm"-Saturation of the Norm Inequalities Between Diamond and Nuclear Norm.
IEEE Trans. Inf. Theory, 2018

Recovering quantum gates from few average gate fidelities.
CoRR, 2018

2017
Guaranteed recovery of quantum processes from few measurements.
CoRR, 2017

2016
Improving Compressed Sensing With the Diamond Norm.
IEEE Trans. Inf. Theory, 2016

Reliable recovery of hierarchically sparse signals and application in machine-type communications.
CoRR, 2016

Note on the saturation of the norm inequalities between diamond and nuclear norm.
CoRR, 2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016

2013
Boson-Sampling in the light of sample complexity.
CoRR, 2013


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