Martin Kliesch

1.9k total citations · 1 hit paper
33 papers, 1.1k citations indexed

About

Martin Kliesch is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Martin Kliesch has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Atomic and Molecular Physics, and Optics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Martin Kliesch's work include Quantum Computing Algorithms and Architecture (25 papers), Quantum Information and Cryptography (20 papers) and Quantum many-body systems (9 papers). Martin Kliesch is often cited by papers focused on Quantum Computing Algorithms and Architecture (25 papers), Quantum Information and Cryptography (20 papers) and Quantum many-body systems (9 papers). Martin Kliesch collaborates with scholars based in Germany, Poland and United States. Martin Kliesch's co-authors include Jens Eisert, Lennart Bittel, Christian Gogolin, Ingo Roth, Thomas Barthel, Michael J. Kastoryano, Leandro Aolita, Arnau Riera, Albert H. Werner and Dominik Hangleiter and has published in prestigious journals such as Physical Review Letters, Nature Communications and IEEE Transactions on Information Theory.

In The Last Decade

Martin Kliesch

29 papers receiving 1.1k citations

Hit Papers

Training Variational Quan... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Training Variational Quantum Algorithms Is NP-Hard
    2021 243 citations Lennart Bittel, Martin Kliesch Physical Review Letters profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Martin Kliesch Germany 15 856 772 170 99 61 33 1.1k
Giacomo Torlai Canada 12 711 0.8× 721 0.9× 199 1.2× 70 0.7× 161 2.6× 16 1.1k
Albert H. Werner Germany 15 649 0.8× 671 0.9× 137 0.8× 172 1.7× 63 1.0× 33 914
Zhengfeng Ji China 20 927 1.1× 750 1.0× 70 0.4× 137 1.4× 15 0.2× 57 1.1k
Yantao Wu United States 6 467 0.5× 354 0.5× 53 0.3× 119 1.2× 53 0.9× 16 684
Michael Lubasch Germany 16 546 0.6× 597 0.8× 153 0.9× 68 0.7× 138 2.3× 24 890
Federico M. Spedalieri United States 12 873 1.0× 717 0.9× 45 0.3× 120 1.2× 21 0.3× 27 1.1k
Mio Murao Japan 19 1.6k 1.9× 1.6k 2.0× 129 0.8× 58 0.6× 14 0.2× 75 1.8k
Chu Guo China 18 587 0.7× 638 0.8× 143 0.8× 108 1.1× 91 1.5× 71 947
Koenraad M. R. Audenaert United Kingdom 18 806 0.9× 737 1.0× 194 1.1× 177 1.8× 11 0.2× 38 1.1k
Nengkun Yu Australia 20 1.0k 1.2× 733 0.9× 54 0.3× 142 1.4× 9 0.1× 64 1.1k

Countries citing papers authored by Martin Kliesch

Since Specialization
Citations

This map shows the geographic impact of Martin Kliesch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Kliesch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kliesch more than expected).

Fields of papers citing papers by Martin Kliesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Kliesch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Kliesch. The network helps show where Martin Kliesch may publish in the future.

Co-authorship network of co-authors of Martin Kliesch

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kliesch. A scholar is included among the top collaborators of Martin Kliesch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Kliesch. Martin Kliesch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kliesch, Martin, et al.. (2025). Bosonic Randomized Benchmarking with Passive Transformations. PRX Quantum. 6(2). 1 indexed citations
2.
Kliesch, Martin, et al.. (2025). Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping. Nature Communications. 16(1). 689–689. 3 indexed citations
3.
Ploennigs, Joern, Kay Smarsly, Markus Berger, Kosmas Dragos, & Martin Kliesch. (2025). Quantum and quantum-inspired computing in civil engineering. Advanced Engineering Informatics. 69. 103960–103960.
4.
Roth, Ingo, et al.. (2025). Stability of Classical Shadows under Gate-Dependent Noise. Physical Review Letters. 134(9). 90801–90801. 2 indexed citations
5.
Miklin, Nikolai, et al.. (2025). Classical certification of quantum gates under the dimension assumption. Quantum. 9. 1825–1825.
6.
Heinrich, Markus R., et al.. (2024). Time-optimal multi-qubit gates: Complexity, efficient heuristic and gate-time bounds. Quantum. 8. 1279–1279.
7.
Cedzich, Christopher, et al.. (2023). Synthesis of and compilation with time-optimal multi-qubit gates. Quantum. 7. 984–984. 11 indexed citations
8.
Roth, Ingo, et al.. (2023). Compressive Gate Set Tomography. PRX Quantum. 4(1). 13 indexed citations
9.
Wagner, Thomas, Hermann Kampermann, Dagmar Bruß, & Martin Kliesch. (2023). Learning Logical Pauli Noise in Quantum Error Correction. Physical Review Letters. 130(20). 200601–200601. 10 indexed citations
10.
Heinrich, Markus R., et al.. (2023). Closed-form analytic expressions for shadow estimation with brickwork circuits. Quantum Information and Computation. 23(11&12). 961–993. 14 indexed citations
11.
Bittel, Lennart & Martin Kliesch. (2021). Training Variational Quantum Algorithms Is NP-Hard. Physical Review Letters. 127(12). 120502–120502. 243 indexed citations breakdown →
12.
Wagner, Thomas, Hermann Kampermann, Dagmar Bruß, & Martin Kliesch. (2021). Optimal noise estimation from syndrome statistics of quantum codes. Physical Review Research. 3(1). 6 indexed citations
13.
Roth, Ingo, Richard Kueng, Stephen Kimmel, et al.. (2018). Recovering Quantum Gates from Few Average Gate Fidelities. Physical Review Letters. 121(17). 170502–170502. 40 indexed citations
14.
Hangleiter, Dominik, Martin Kliesch, Martin Schwarz, & Jens Eisert. (2017). Direct certification of a class of quantum simulations. Refubium (Universitätsbibliothek der Freien Universität Berlin). 43 indexed citations
15.
Werner, Albert H., Daniel Jaschke, Pietro Silvi, et al.. (2016). Positive Tensor Network Approach for Simulating Open Quantum Many-Body Systems. Physical Review Letters. 116(23). 237201–237201. 109 indexed citations
16.
Aolita, Leandro, Christian Gogolin, Martin Kliesch, & Jens Eisert. (2015). Reliable quantum certification of photonic state preparations. Nature Communications. 6(1). 8498–8498. 63 indexed citations
17.
Kliesch, Martin, Christian Gogolin, Michael J. Kastoryano, Arnau Riera, & Jens Eisert. (2014). Locality of Temperature. Refubium (Universitätsbibliothek der Freien Universität Berlin). 108 indexed citations
18.
Kliesch, Martin, Christian Gogolin, Michael J. Kastoryano, Arnau Riera, & Jens Eisert. (2013). Correlations in thermal quantum states. arXiv (Cornell University). 1 indexed citations
19.
Barthel, Thomas, Martin Kliesch, & Jens Eisert. (2010). Real-space renormalization yields finitely correlated states. arXiv (Cornell University). 1 indexed citations
20.
Barthel, Thomas, Martin Kliesch, & Jens Eisert. (2010). Real-Space Renormalization Yields Finite Correlations. Physical Review Letters. 105(1). 10502–10502. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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