Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry. - Waheeda Saib; Xavier Bonet-Monroig; Vedran Dunjko; Ivano Tavernelli; Thomas Bäck; Hao Wang 025 (QCE, 2023)

Curriculum reinforcement learning for quantum architecture search under hardware errors. - Yash J. Patel; Akash Kundu; Mateusz Ostaszewski; Xavier Bonet-Monroig; Vedran Dunjko; Onur Danaci (ICLR, 2024)

An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise. - Catalin-Viorel Dinu; Yash J. Patel; Xavier Bonet-Monroig; Hao Wang (CoRR, 2024)

The role of data-induced randomness in quantum machine learning classification tasks. - Berta Casas; Xavier Bonet-Monroig; Adrián Pérez-Salinas (CoRR, 2024)

An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise. - Catalin-Viorel Dinu; Yash J. Patel; Xavier Bonet-Monroig; Hao Wang 025 (GECCO, 2025)