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Manuel S. Rudolph
Manuel S. Rudolph
PhD Candidate at EPFL - Working on quantum computing algorithms and classical simulation methods
Bestätigte E-Mail-Adresse bei epfl.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Generation of High Resolution Handwritten Digits with an Ion-Trap Quantum Computer
MS Rudolph, NT Bashige, A Katabarwa, S Johri, B Peropadre, ...
Phys. Rev. X 12, 031010, 2020
1192020
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
M Cerezo, M Larocca, D García-Martín, NL Diaz, P Braccia, E Fontana, ...
arXiv preprint arXiv:2312.09121, 2023
104*2023
Synergistic pretraining of parametrized quantum circuits via tensor networks
MS Rudolph, J Miller, D Motlagh, J Chen, A Acharya, A Perdomo-Ortiz
Nature Communications 14 (1), 8367, 2023
72*2023
Decomposition of matrix product states into shallow quantum circuits
MS Rudolph, J Chen, J Miller, A Acharya, A Perdomo-Ortiz
Quantum Science and Technology 9 (1), 015012, 2023
482023
Trainability barriers and opportunities in quantum generative modeling
MS Rudolph, S Lerch, S Thanasilp, O Kiss, O Shaya, S Vallecorsa, ...
npj Quantum Information 10 (1), 116, 2024
302024
Classical surrogate simulation of quantum systems with LOWESA
MS Rudolph, E Fontana, Z Holmes, L Cincio
arXiv preprint arXiv:2308.09109, 2023
252023
Classical simulations of noisy variational quantum circuits
E Fontana, MS Rudolph, R Duncan, I Rungger, C Cîrstoiu
arXiv preprint arXiv:2306.05400, 2023
222023
ORQVIZ: visualizing high-dimensional landscapes in variational quantum algorithms
MS Rudolph, S Sim, A Raza, M Stechly, JR McClean, ER Anschuetz, ...
arXiv preprint arXiv:2111.04695, 2021
18*2021
The power and limitations of learning quantum dynamics incoherently
S Jerbi, J Gibbs, MS Rudolph, MC Caro, PJ Coles, HY Huang, Z Holmes
arXiv preprint arXiv:2303.12834, 2023
172023
Connecting the Hamiltonian structure to the QAOA energy and Fourier landscape structure
M Stęchły, L Gao, B Yogendran, E Fontana, M Rudolph
arXiv preprint arXiv:2305.13594, 2023
142023
Classically estimating observables of noiseless quantum circuits
A Angrisani, A Schmidhuber, MS Rudolph, M Cerezo, Z Holmes, ...
arXiv preprint arXiv:2409.01706, 2024
82024
Quantum convolutional neural networks are (effectively) classically simulable
P Bermejo, P Braccia, MS Rudolph, Z Holmes, L Cincio, M Cerezo
arXiv preprint arXiv:2408.12739, 2024
82024
Data re-uploading with a single qudit
NL Wach, MS Rudolph, F Jendrzejewski, S Schmitt
Quantum Machine Intelligence 5 (2), 36, 2023
82023
A Search for Classical Subsystems in Quantum Worlds
A Adil, MS Rudolph, A Arrasmith, Z Holmes, A Albrecht, A Sornborger
arXiv preprint arXiv:2403.10895, 2024
32024
Qubit seriation: Improving data-model alignment using spectral ordering
A Acharya, M Rudolph, J Chen, J Miller, A Perdomo-Ortiz
arXiv preprint arXiv:2211.15978, 2022
32022
Master Thesis: Exploring and Benchmarking Quantum-assisted Neural Networks with Qubit Layers
MS Rudolph
Department of Physics and Astronomy, University Heidelberg, 2020
1*2020
Efficient quantum-enhanced classical simulation for patches of quantum landscapes
S Lerch, R Puig, MS Rudolph, A Angrisani, T Jones, M Cerezo, ...
arXiv preprint arXiv:2411.19896, 2024
2024
Comparing Generalization Performances of Quantum and Classical Generative Models
M Hibat-Allah, M Mauri, M Rudolph, A Perdomo-Ortiz
APS March Meeting Abstracts 2023, N73. 012, 2023
2023
Can we run quantum circuits on ultra-cold atom devices?
F Jendrzejewski, M Rudolph
Authorea Preprints, 2020
2020
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