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2020 – today
- 2024
[c1]Matthias C. Caro
, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke:
Classical Verification of Quantum Learning. ITCS 2024: 24:1-24:23- 2023
- [i5]Alexander Nietner, Marios Ioannou, Ryan Sweke, Richard Kueng, Jens Eisert, Marcel Hinsche, Jonas Haferkamp:
On the average-case complexity of learning output distributions of quantum circuits. CoRR abs/2305.05765 (2023) - [i4]Matthias C. Caro, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke:
Classical Verification of Quantum Learning. CoRR abs/2306.04843 (2023) - [i3]Martin Ringbauer, Marcel Hinsche, Thomas Feldker, Paul K. Faehrmann, Juani Bermejo-Vega, Claire Edmunds, Lukas Postler, Roman Stricker, Christian D. Marciniak, Michael Meth, Ivan Pogorelov, Rainer Blatt, Philipp Schindler, Jens Eisert, Thomas Monz, Dominik Hangleiter:
Verifiable measurement-based quantum random sampling with trapped ions. CoRR abs/2307.14424 (2023) - 2022
- [i2]Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke:
A single T-gate makes distribution learning hard. CoRR abs/2207.03140 (2022) - 2021
- [i1]Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke:
Learnability of the output distributions of local quantum circuits. CoRR abs/2110.05517 (2021)
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