متابعة
Marcello Benedetti
Marcello Benedetti
Quantinuum
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Parameterized quantum circuits as machine learning models‏
M Benedetti, E Lloyd, S Sack, M Fiorentini‏
Quantum Science and Technology 4 (4), 043001, 2019‏
10732019
An initialization strategy for addressing barren plateaus in parametrized quantum circuits‏
E Grant, L Wossnig, M Ostaszewski, M Benedetti‏
Quantum 3, 214, 2019‏
5012019
A generative modeling approach for benchmarking and training shallow quantum circuits‏
M Benedetti, D Garcia-Pintos, O Perdomo, V Leyton-Ortega, Y Nam, ...‏
npj Quantum Information 5 (1), 45, 2019‏
358*2019
Hierarchical quantum classifiers‏
E Grant, M Benedetti, S Cao, A Hallam, J Lockhart, V Stojevic, AG Green, ...‏
npj Quantum Information 4 (1), 65, 2018‏
323*2018
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers‏
A Perdomo-Ortiz, M Benedetti, J Realpe-Gómez, R Biswas‏
Quantum Science and Technology 3 (3), 030502, 2018‏
2762018
Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning‏
M Benedetti, J Realpe-Gómez, R Biswas, A Perdomo-Ortiz‏
Physical Review A 94 (2), 022308, 2016‏
2702016
Structure optimization for parameterized quantum circuits‏
M Ostaszewski, E Grant, M Benedetti‏
Quantum 5, 391, 2021‏
269*2021
Training of quantum circuits on a hybrid quantum computer‏
D Zhu, NM Linke, M Benedetti, KA Landsman, NH Nguyen, CH Alderete, ...‏
Science advances 5 (10), eaaw9918, 2019‏
2402019
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models‏
M Benedetti, J Realpe-Gómez, R Biswas, A Perdomo-Ortiz‏
Physical Review X 7 (4), 041052, 2017‏
211*2017
Hardware-efficient variational quantum algorithms for time evolution‏
M Benedetti, M Fiorentini, M Lubasch‏
Physical Review Research 3 (3), 033083, 2021‏
1772021
Filtering variational quantum algorithms for combinatorial optimization‏
D Amaro, C Modica, M Rosenkranz, M Fiorentini, M Benedetti, M Lubasch‏
Quantum Science and Technology 7 (1), 015021, 2022‏
1402022
Quantum-assisted Helmholtz machines: A quantum–classical deep learning framework for industrial datasets in near-term devices‏
M Benedetti, J Realpe-Gómez, A Perdomo-Ortiz‏
Quantum Science and Technology 3 (3), 034007, 2018‏
1102018
Adversarial quantum circuit learning for pure state approximation‏
M Benedetti, E Grant, L Wossnig, S Severini‏
New Journal of Physics 21 (4), 043023, 2019‏
992019
Variational inference with a quantum computer‏
M Benedetti, B Coyle, M Fiorentini, M Lubasch, M Rosenkranz‏
Physical Review Applied 16 (4), 044057, 2021‏
492021
Predicting Gibbs-State Expectation Values with Pure Thermal Shadows‏
L Coopmans, Y Kikuchi, M Benedetti‏
PRX Quantum 4 (1), 010305, 2023‏
412023
Protecting expressive circuits with a quantum error detection code‏
CN Self, M Benedetti, D Amaro‏
Nature Physics 20 (2), 219-224, 2024‏
302024
Realization of quantum signal processing on a noisy quantum computer‏
Y Kikuchi, C Mc Keever, L Coopmans, M Lubasch, M Benedetti‏
npj Quantum Information 9 (1), 93, 2023‏
28*2023
On the sample complexity of quantum Boltzmann machine learning‏
L Coopmans, M Benedetti‏
Communications Physics 7 (1), 274, 2024‏
182024
Bayesian learning of parameterised quantum circuits‏
S Duffield, M Benedetti, M Rosenkranz‏
Machine Learning: Science and Technology 4 (2), 025007, 2023‏
142023
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits‏
C Leadbeater, L Sharrock, B Coyle, M Benedetti‏
Entropy 23 (10), 1281, 2021‏
142021
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20