Ingo Roth
Ingo Roth
Quantum research center, Technology Innovation Institute, Abu Dhabi, UAE
Verified email at - Homepage
Cited by
Cited by
Quantum certification and benchmarking
J Eisert, D Hangleiter, N Walk, I Roth, D Markham, R Parekh, U Chabaud, ...
Nature Reviews Physics, 1-9, 2020
Theory of Quantum System Certification
M Kliesch, I Roth
PRX Quantum 2 (1), 010201, 2021
General Framework for Randomized Benchmarking
J Helsen, I Roth, E Onorati, AH Werner, J Eisert
PRX Quantum 3 (2), 020357, 2022
Easing the Monte Carlo sign problem
D Hangleiter, I Roth, D Nagaj, J Eisert
Science advances 6 (33), eabb8341, 2020
Efficient Unitary Designs with a System-Size Independent Number of Non-Clifford Gates
J Haferkamp, F Montealegre-Mora, M Heinrich, J Eisert, D Gross, I Roth
Communications in Mathematical Physics, 1-47, 2022
Recovering quantum gates from few average gate fidelities
I Roth, R Kueng, S Kimmel, YK Liu, D Gross, J Eisert, M Kliesch
Physical review letters 121 (17), 170502, 2018
Entanglement-ergodic quantum systems equilibrate exponentially well
H Wilming, M Goihl, I Roth, J Eisert
Physical Review Letters 123 (20), 200604, 2019
Experimentally exploring compressed sensing quantum tomography
A Steffens, CA Riofrío, W McCutcheon, I Roth, BA Bell, A McMillan, ...
Quantum Science and Technology 2 (2), 025005, 2017
Low-overhead hierarchically-sparse channel estimation for multiuser wideband massive MIMO
G Wunder, S Stefanatos, A Flinth, I Roth, G Caire
IEEE Transactions on Wireless Communications 18 (4), 2186-2199, 2019
Tensor network approaches for data-driven identification of non-linear dynamical laws
A Goeßmann, I Roth, G Kutyniok, M Götte, R Sweke, J Eisert
NeurIPS2020-Tensorworkshop, December, 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
Reliable recovery of hierarchically sparse signals for Gaussian and Kronecker product measurements
I Roth, M Kliesch, A Flinth, G Wunder, J Eisert
IEEE Transactions on Signal Processing 68, 4002-4016, 2020
Emergent statistical mechanics from properties of disordered random matrix product states
J Haferkamp, C Bertoni, I Roth, J Eisert
PRX Quantum 2 (4), 040308, 2021
Robustly learning the Hamiltonian dynamics of a superconducting quantum processor
D Hangleiter, I Roth, J Fuksa, J Eisert, P Roushan
arXiv preprint arXiv:2108.08319, 2021
Compressive gate set tomography
R Brieger, I Roth, M Kliesch
PRX Quantum 4 (1), 010325, 2023
Scalably learning quantum many-body Hamiltonians from dynamical data
F Wilde, A Kshetrimayum, I Roth, D Hangleiter, R Sweke, J Eisert
arXiv preprint arXiv:2209.14328, 2022
Closed-form analytic expressions for shadow estimation with brickwork circuits
M Arienzo, M Heinrich, I Roth, M Kliesch
Quantum Information and Computation 23 (11/12), 961-993, 2023
Hierarchical sparse channel estimation for massive MIMO
G Wunder, I Roth, M Barzegar, A Flinth, S Haghighatshoar, G Caire, ...
WSA 2018; 22nd International ITG Workshop on Smart Antennas, 1-8, 2018
Hierarchical restricted isometry property for Kronecker product measurements
I Roth, A Flinth, R Kueng, J Eisert, G Wunder
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
Randomized benchmarking with random quantum circuits
M Heinrich, M Kliesch, I Roth
arXiv preprint arXiv:2212.06181, 2022
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