I am a PhD student in Jens Eisert's group at the Dahlem Center for Complex Quantum Systems, Freie Universität Berlin.
My research lies at the intersection of quantum information theory, learning theory, and complexity theory. I study how quantum computers extract useful information from unknown quantum systems—a key question in device characterization, quantum algorithms, cryptography, and verification. I’m also interested in classical simulation and quantum error correction.
Feel free to reach out via email. I am always happy to chat!
Publications
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Clifford testing: algorithms and lower bounds
[arXiv]
Marcel Hinsche, Zongbo Bao, Philippe van Dordrecht, Jens Eisert, Jop Briët, Jonas Helsen
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Will it glue? On short-depth designs beyond the unitary
group
[arXiv]
Lorenzo Grevink, Jonas Haferkamp, Markus Heinrich, Jonas Helsen, Marcel Hinsche, Thomas Schuster, Zoltán Zimborás
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The abelian state hidden subgroup problem: Learning stabilizer
groups and beyond
[arXiv]
Marcel Hinsche, Jens Eisert, Jose Carrasco
QIP '26, QTML '25 -
Dynamic parameterized quantum circuits: expressive and
barren-plateau free
[arXiv]
Abhinav Deshpande, Marcel Hinsche, Sona Najafi, Kunal Sharma, Ryan Sweke, Christa Zoufal
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Interactive proofs for verifying (quantum) learning and
testing
[arXiv]
Matthias Caro, Jens Eisert, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke
QTML '25 -
Single-copy stabilizer testing
[arXiv]
Marcel Hinsche, Jonas Helsen
STOC '25 , QCTiP '25 -
Efficient distributed inner product estimation via Pauli sampling
[arXiv]
Marcel Hinsche, Marios Ioannou, Sofiene Jerbi, Lorenzo Leone, Jens Eisert, Jose Carrasco
PRX Quantum 6, 030354 (2025) -
Verifiable measurement-based quantum random sampling with trapped
ions
[arXiv]
Martin Ringbauer, Marcel Hinsche, Thomas Feldker, Paul Faehrmann, Juani Bermejo-Vega, Claire Edmunds, Lukas Postler, Roman Stricker, Christian Marciniak, Michael Meth, Ivan Pogorelov, Rainer Blatt, Philipp Schindler, Jens Eisert, Thomas Monz, Dominik Hangleiter
Nature Communications 16, 106 (2025) -
Classical Verification of Quantum Learning
[arXiv]
Matthias Caro, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke
ITCS '24 , QTML '23 -
On the average-case complexity of learning output distributions
of quantum circuits
[arXiv]
Alexander Nietner, Marios Ioannou, Ryan Sweke, Richard Kueng, Jens Eisert, Marcel Hinsche, Jonas Haferkamp
Quantum 9, 1883 (2025) -
Shallow shadows: Expectation estimation using low-depth random
Clifford circuits
[arXiv]
Christian Bertoni, Jonas Haferkamp, Marcel Hinsche, Marios Ioannou, Jens Eisert, Hakop Pashayan
TQC '23, Physical Review Letters 133, 020602 (2024) -
One T Gate Makes Distribution Learning Hard
[arXiv]
Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
QTML '22, Physical Review Letters 130, 240602 (2023) -
Learnability of the output distributions of local quantum
circuits
[arXiv]
Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
QCTiP '22 -
Quantum Computational Advantage via High-Dimensional Gaussian
Boson Sampling
[arXiv]
Abhinav Deshpande, Arthur Mehta, Trevor Vincent, Nicolas Quesada, Marcel Hinsche, Marios Ioannou, Lars Madsen, Jonathan Lavoie, Haoyu Qi, Jens Eisert, Dominik Hangleiter, Bill Fefferman, Ish Dhand
Science Advances 8, eabi7894 (2022)