Soloviev, V. P., Dunjko, V., Bielza, C., Larrañaga, P., & Wang, H. (2024). Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search. EPJ Quantum Technology, 11(1). https://doi.org/10.1140/epjqt/s40507-024-00282-6

SOLOVIEV, Vicente P., DUNJKO, Vedran, BIELZA, Concha, LARRAÑAGA, Pedro and WANG, Hao, 2024. Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search. EPJ Quantum Technology. 1 December 2024. Vol. 11, no. 1, . DOI 10.1140/epjqt/s40507-024-00282-6.

Soloviev, V. P., V. Dunjko, C. Bielza, P. Larrañaga, and H. Wang. “Trainability Maximization Using Estimation of Distribution Algorithms Assisted by Surrogate Modelling for Quantum Architecture Search”. EPJ Quantum Technology, vol. 11, no. 1, Dec. 2024, https://doi.org/10.1140/epjqt/s40507-024-00282-6.

Soloviev, Vicente P./Dunjko, Vedran/Bielza, Concha/Larrañaga, Pedro/Wang, Hao: Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search, EPJ Quantum Technology 2024,

Soloviev, V.P., Dunjko, V., Bielza, C., Larrañaga, P. and Wang, H. (2024), “Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search”, EPJ Quantum Technology, Vol. 11 No. 1, available at:https://doi.org/10.1140/epjqt/s40507-024-00282-6.