Marios Ioannou
Marios Ioannou
PhD, Freihe Universitšt Berlin
Verified email at
Cited by
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Quantum computational advantage via high-dimensional Gaussian boson sampling
A Deshpande, A Mehta, T Vincent, N Quesada, M Hinsche, M Ioannou, ...
Science advances 8 (1), eabi7894, 2022
Shallow shadows: Expectation estimation using low-depth random clifford circuits
C Bertoni, J Haferkamp, M Hinsche, M Ioannou, J Eisert, H Pashayan
arXiv preprint arXiv:2209.12924, 2022
Hardness and ease of curing the sign problem for two-local qubit Hamiltonians
J Klassen, M Marvian, S Piddock, M Ioannou, I Hen, BM Terhal
SIAM Journal on Computing 49 (6), 1332-1362, 2020
Shadow estimation of gate-set properties from random sequences
J Helsen, M Ioannou, J Kitzinger, E Onorati, AH Werner, J Eisert, I Roth
Nature Communications 14 (1), 5039, 2023
A single -gate makes distribution learning hard
M Hinsche, M Ioannou, A Nietner, J Haferkamp, Y Quek, D Hangleiter, ...
arXiv preprint arXiv:2207.03140, 2022
Learnability of the output distributions of local quantum circuits
M Hinsche, M Ioannou, A Nietner, J Haferkamp, Y Quek, D Hangleiter, ...
arXiv preprint arXiv:2110.05517, 2021
On the average-case complexity of learning output distributions of quantum circuits
A Nietner, M Ioannou, R Sweke, R Kueng, J Eisert, M Hinsche, ...
arXiv preprint arXiv:2305.05765, 2023
Classical verification of quantum learning
MC Caro, M Hinsche, M Ioannou, A Nietner, R Sweke
arXiv preprint arXiv:2306.04843, 2023
Sign-curing local Hamiltonians: Termwise versus global stoquasticity and the use of Clifford transformations
M Ioannou, S Piddock, M Marvian, J Klassen, BM Terhal
arXiv preprint arXiv:2007.11964, 2020
Noise-mitigated randomized measurements and self-calibrating shadow estimation
E Onorati, J Kitzinger, J Helsen, M Ioannou, AH Werner, I Roth, J Eisert
arXiv preprint arXiv:2403.04751, 2024
Potential and limitations of probabilistic modelling with quantum circuits
R Sweke, J Eisert, Y Quek, M Hinsche, A Nietner, M Ioannou, JP Seifert, ...
APS March Meeting Abstracts 2023, S69. 004, 2023
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