Wossnig, Leonard

The Variational Quantum Eigensolver: A review of methods and best practices

Tilly, J., Chen, H., Cao, S., Picozzi, D., Setia, K., Li, Y., Grant, E., Wossnig, L., Rungger, I., Booth, G. H., et al. (2022) · Physics Reports

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1,031

Quantum machine learning: a classical perspective

Ciliberto, C., Herbster, M., Ialongo, A. D., Pontil, M., Rocchetto, A., Severini, S., & Wossnig, L. (2018) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 518

An initialization strategy for addressing barren plateaus in parametrized quantum circuits

Grant, E., Wossnig, L., Ostaszewski, M., & Benedetti, M. (2019) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 406

Universal discriminative quantum neural networks

Chen, H., Wossnig, L., Severini, S., Neven, H., & Mohseni, M. (2021) · Quantum Machine Intelligence

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 89

Universal discriminative quantum neural networks

Chen, H., Wossnig, L., Severini, S., Neven, H., & Mohseni, M. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 89