Exact Ising model simulation on a quantum computer. - Alba Cervera-Lierta (Quantum, 2018)

Data re-uploading for a universal quantum classifier. - Adrián Pérez-Salinas; Alba Cervera-Lierta; Elies Gil-Fuster; José I. Latorre (Quantum, 2020)

Noisy intermediate-scale quantum (NISQ) algorithms. - Kishor Bharti; Alba Cervera-Lierta; Thi Ha Kyaw; Tobias Haug; Sumner Alperin-Lea; Abhinav Anand; Matthias Degroote; Hermanni Heimonen; Jakob S. Kottmann; Tim Menke; Wai-Keong Mok; Sukin Sim; et al. (CoRR, 2021)

On scientific understanding with artificial intelligence. - Mario Krenn; Robert Pollice; Si Yue Guo; Matteo Aldeghi; Alba Cervera-Lierta; Pascal Friederich; Gabriel dos Passos Gomes; Florian Häse; Adrian Jinich; AkshatKumar Nigam; Zhenpeng Yao; Alán Aspuru-Guzik (CoRR, 2022)

Learning interpretable representations of entanglement in quantum optics experiments using deep generative models. - Daniel Flam-Shepherd; Tony C. Wu; Xuemei Gu; Alba Cervera-Lierta; Mario Krenn; Alán Aspuru-Guzik (Nat. Mach. Intell., 2022)

Design of quantum optical experiments with logic artificial intelligence. - Alba Cervera-Lierta; Mario Krenn; Alán Aspuru-Guzik (Quantum, 2022)

Workflows Community Summit 2022: A Roadmap Revolution. - Rafael Ferreira da Silva; Rosa M. Badia; Venkat Bala; Debbie Bard; Peer-Timo Bremer; Ian Buckley; Silvina Caíno-Lores; Kyle Chard; Carole A. Goble; Shantenu Jha; Daniel S. Katz; Daniel E. Laney; et al. (CoRR, 2023)

Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing. - Mar Tejedor; Berta Casas; Javier Conejero; Alba Cervera-Lierta; Rosa M. Badia (CoRR, 2025)