Programming multi-level quantum gates in disordered computing reservoirs via machine learning. - Giulia Marcucci; Davide Pierangeli; Pepijn Pinkse; Mehul Malik; Claudio Conti (CoRR, 2019)

Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons. - Giulia Marcucci; Davide Pierangeli; Claudio Conti (CoRR, 2019)

Scalable spin-glass optical simulator. - Davide Pierangeli; Mushegh Rafayelyan; Claudio Conti; Sylvain Gigan (CoRR, 2020)

Photonic extreme learning machine by free-space optical propagation. - Davide Pierangeli; Giulia Marcucci; Claudio Conti (CoRR, 2021)

All-optical scalable spatial coherent Ising machine. - Marcello Calvanese Strinati; Davide Pierangeli; Claudio Conti (CoRR, 2021)

Large-scale photonic natural language processing. - Carlo Michele Valensise; Ivana Grecco; Davide Pierangeli; Claudio Conti (CoRR, 2022)

Efficient Computation Using Spatial-Photonic Ising Machines: Utilizing Low-Rank and Circulant Matrix Constraints. - Richard Zhipeng Wang; James S. Cummins; Marvin Syed; Nikita Stroev; George Pastras; Jason Sakellariou; Symeon Tsintzos; Alexis Askitopoulos; Daniele Veraldi; Marcello Calvanese Strinati; Silvia Gentilini; Davide Pierangeli; et al. (CoRR, 2024)

Fully Programmable Spatial Photonic Ising Machine by Focal Plane Division. - Daniele Veraldi; Davide Pierangeli; Silvia Gentilini; Marcello Calvanese Strinati; Jason Sakellariou; James S. Cummins; Airat Kamaletdinov; Marvin Syed; Richard Zhipeng Wang; Natalia G. Berloff; Dimitrios Karanikolopoulos; Pavlos G. Savvidis; et al. (CoRR, 2024)

Roadmap on Neuromorphic Photonics. - Daniel Brunner; Bhavin J. Shastri; Mohammed Al-Qadasi; Hitesh Ballani; Sylvain Barbay; Stefano Biasi; Peter Bienstman; Simon Bilodeau; Wim Bogaerts; Fabian Böhm; Grace Brennan; Sonia M. Buckley; et al. (CoRR, 2025)