Marco Cerezo

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Patrick ColesLos Alamos National LaboratoryVerified email at lanl.gov
Lukasz CincioTheoretical Division, Los Alamos National LaboratoryVerified email at lanl.gov
Andrew ArrasmithPostdoc, Los Alamos National LaboratoryVerified email at lanl.gov
Kunal SharmaIBM Quantum - Watson Research CenterVerified email at ibm.com
Akira SoneAssistant Professor of Physics, University of Massachusetts BostonVerified email at umb.edu
Samson WangPhD Student at Imperial College LondonVerified email at imperial.ac.uk
Martin LaroccaPostdoc, Los Alamos National LaboratoryVerified email at lanl.gov
Zoe HolmesNew Faculty at EPFLVerified email at epfl.ch
Andrew SornborgerResearch Scientist, Information Sciences CCS-3, Los Alamos National LaboratoryVerified email at lanl.gov
Raul RossignoliProfessor-Researcher, IFLP-UNLP-CICVerified email at fisica.unlp.edu.ar
T.J. VolkoffLos Alamos National LaboratoryVerified email at lanl.gov
Piotr CzarnikJagiellonian UniversityVerified email at uj.edu.pl
Enrico FontanaPhD candidate, University of StrathclydeVerified email at strath.ac.uk
Simon BenjaminProfessor of Quantum Technologies, University of Oxford and Quantum MotionVerified email at materials.ox.ac.uk
Ryan BabbushHead of Quantum Algorithms - GoogleVerified email at google.com
Kosuke MitaraiOsaka UniversityVerified email at osaka-u.ac.jp
Jarrod R. McCleanStaff Research Scientist - GoogleVerified email at google.com
Suguru EndoNTT Computer & Data Science Laboratories, NTT CorporationVerified email at hco.ntt.co.jp
Xiao Yuan（袁骁）CFCS, Peking UniversityVerified email at pku.edu.cn
Keisuke FujiiEngineering Science, Osaka Univ. /QIQB, Osaka Univ./ RIKEN RQCVerified email at qc.ee.es.osaka-u.ac.jp

Marco Cerezo

Staff Scientist, Los Alamos National Laboratory

Verified email at lanl.gov - Homepage

Quantum Machine Learning Quantum Algorithms Quantum Information Quantum Computing


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Variational quantum algorithms M Cerezo, A Arrasmith, R Babbush, SC Benjamin, S Endo, K Fujii, ... Nature Reviews Physics 3, 625–644, 2021	935	2021
Cost function dependent barren plateaus in shallow parametrized quantum circuits M Cerezo, A Sone, T Volkoff, L Cincio, PJ Coles Nature communications 12 (1), 1791, 2021	486	2021
Noise-induced barren plateaus in variational quantum algorithms S Wang, E Fontana, M Cerezo, K Sharma, A Sone, L Cincio, PJ Coles Nature communications 12 (1), 6961, 2021	277	2021
Variational quantum linear solver C Bravo-Prieto, R LaRose, M Cerezo, Y Subasi, L Cincio, PJ Coles arXiv preprint arXiv:1909.05820, 2019	184	2019
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Z Holmes, K Sharma, M Cerezo, PJ Coles PRX Quantum 3 (1), 010313, 2022	174	2022
Noise resilience of variational quantum compiling K Sharma, S Khatri, M Cerezo, PJ Coles New Journal of Physics 22 (4), 043006, 2020	154	2020
Absence of barren plateaus in quantum convolutional neural networks A Pesah, M Cerezo, S Wang, T Volkoff, AT Sornborger, PJ Coles Physical Review X 11 (4), 041011, 2021	144	2021
Effect of barren plateaus on gradient-free optimization A Arrasmith, M Cerezo, P Czarnik, L Cincio, PJ Coles Quantum 5, 558, 2021	115	2021
Trainability of dissipative perceptron-based quantum neural networks K Sharma, M Cerezo, L Cincio, PJ Coles Physical Review Letters 128 (18), 180505, 2022	97	2022
Variational quantum fidelity estimation M Cerezo, A Poremba, L Cincio, PJ Coles Quantum 4, 248, 2020	96	2020
Higher order derivatives of quantum neural networks with barren plateaus M Cerezo, PJ Coles Quantum Science and Technology 6 (2), 035006, 2021	70	2021
Variational quantum state eigensolver M Cerezo, K Sharma, A Arrasmith, PJ Coles npj Quantum Information 8 (1), 113, 2022	67	2022
Equivalence of quantum barren plateaus to cost concentration and narrow gorges A Arrasmith, Z Holmes, M Cerezo, PJ Coles Quantum Science and Technology 7 (4), 045015, 2022	50	2022
Generalization in quantum machine learning from few training data MC Caro, HY Huang, M Cerezo, K Sharma, A Sornborger, L Cincio, ... Nature communications 13 (1), 4919, 2022	48	2022
Diagnosing barren plateaus with tools from quantum optimal control M Larocca, P Czarnik, K Sharma, G Muraleedharan, PJ Coles, M Cerezo Quantum 6, 824, 2022	47	2022
Theory of overparametrization in quantum neural networks M Larocca, N Ju, D García-Martín, PJ Coles, M Cerezo arXiv preprint arXiv:2109.11676, 2021	44	2021
Variational hamiltonian diagonalization for dynamical quantum simulation B Commeau, M Cerezo, Z Holmes, L Cincio, PJ Coles, A Sornborger arXiv preprint arXiv:2009.02559, 2020	41	2020
A semi-agnostic ansatz with variable structure for quantum machine learning M Bilkis, M Cerezo, G Verdon, PJ Coles, L Cincio arXiv preprint arXiv:2103.06712, 2021	37	2021
Variational quantum algorithm for estimating the quantum fisher information JL Beckey, M Cerezo, A Sone, PJ Coles Physical Review Research 4 (1), 013083, 2022	35	2022
System-time entanglement in a discrete-time model MC A. Boette, R. Rossignoli, N. Gigena Physical Review A 93 (6), 062127, 2016	35	2016

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