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Matija Medvidović
Matija Medvidović
Other namesMatija Medvidovic
Postdoctoral researcher, ETH Zürich
Verified email at phys.ethz.ch
Title
Cited by
Cited by
Year
Fast quantum circuit cutting with randomized measurements
A Lowe, M Medvidović, A Hayes, LJ O'Riordan, TR Bromley, JM Arrazola, ...
Quantum 7, 934, 2023
722023
Classical variational simulation of the Quantum Approximate Optimization Algorithm
M Medvidovic, G Carleo
npj Quantum Information 7, 101, 2021
70*2021
Deep Learning the Functional Renormalization Group
D Di Sante, M Medvidović, A Toschi, G Sangiovanni, C Franchini, ...
Physical Review Letters 129 (13), 136402, 2022
262022
Neural-network quantum states for many-body physics
M Medvidović, JR Moreno
arXiv preprint arXiv:2402.11014, 2024
192024
Variational quantum dynamics of two-dimensional rotor models
M Medvidović, D Sels
PRX Quantum 4 (4), 040302, 2023
132023
Generative models for sampling of lattice field theories
M Medvidovic, J Carrasquilla, LE Hayward, B Kulchytskyy
arXiv preprint arXiv:2012.01442, 2020
102020
GradDFT. A software library for machine learning enhanced density functional theory
PA M Casares, JS Baker, M Medvidović, R Reis, JM Arrazola
The Journal of Chemical Physics 160 (6), 2024
82024
Effective geometry Monte Carlo: A fast and reliable simulation framework for molecular communication
F Dinç, M Medvidović, L Thiele
IEEE Access 7, 28635-28650, 2019
42019
Compressing the two-particle Green’s function using wavelets: Theory and application to the Hubbard atom
E Moghadas, N Dräger, A Toschi, J Zang, M Medvidović, D Kiese, ...
The European Physical Journal Plus 139 (8), 700, 2024
32024
Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function
J Zang, M Medvidović, D Kiese, D Di Sante, AM Sengupta, AJ Millis
arXiv preprint arXiv:2403.15372, 2024
32024
Neural network distillation of orbital dependent density functional theory
M Medvidović, JC Umana, I Ahmadabadi, D Di Sante, J Flick, A Rubio
arXiv preprint arXiv:2410.16408, 2024
2024
Automatic differentiation approach for obtaining exchange-correlation functional derivatives
J Umana, M Medvidović, A Rubio, J Flick
Bulletin of the American Physical Society, 2024
2024
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Articles 1–12