Global optimization of spin Hamiltonians with gain-dissipative systems. - Kirill P. Kalinin; Natalia G. Berloff (CoRR, 2018)

Discrete Polynomial Optimization with Coherent Networks of Condensates and Complex Coupling Switching. - Nikita Stroev; Natalia G. Berloff (CoRR, 2019)

Nonlinear systems for unconventional computing. - Kirill P. Kalinin; Natalia G. Berloff (CoRR, 2019)

Polaritonic XY-Ising Machine. - Kirill P. Kalinin; Alberto Amo; Jacqueline Bloch; Natalia G. Berloff (CoRR, 2020)

Complexity continuum within Ising formulation of NP problems. - Kirill P. Kalinin; Natalia G. Berloff (CoRR, 2020)

XY Neural Networks. - Nikita Stroev; Natalia G. Berloff (CoRR, 2021)

Large-scale Sustainable Search on Unconventional Computing Hardware. - Kirill P. Kalinin; Natalia G. Berloff (CoRR, 2021)

Complex matter field universal models with optimal scaling for solving combinatorial optimization problems. - Natalia G. Berloff (CoRR, 2022)

Renaissance of Analogue Optical Computing. - Nikita Stroev; Natalia G. Berloff (CoRR, 2023)

Analog Iterative Machine (AIM): using light to solve quadratic optimization problems with mixed variables. - Kirill P. Kalinin; George Mourgias-Alexandris; Hitesh Ballani; Natalia G. Berloff; James H. Clegg; Daniel Cletheroe; Christos Gkantsidis; István Haller; Vassily Lyutsarev; Francesca Parmigiani; Lucinda Pickup; Antony I. T. Rowstron (CoRR, 2023)

Coupling Light with Matter for Identifying Dominant Subnetworks. - Airat Kamaletdinov; Natalia G. Berloff (CoRR, 2024)

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)

Complex Vector Gain-Based Annealer for Minimizing XY Hamiltonians. - James S. Cummins; Natalia G. Berloff (CoRR, 2024)

A Fully Analog Pipeline for Portfolio Optimization. - James S. Cummins; Natalia G. Berloff (CoRR, 2024)

Phase Retrieval via Gain-Based Photonic XY-Hamiltonian Optimization. - Richard Zhipeng Wang; Guangyao Li; Silvia Gentilini; Marcello Calvanese Strinati; Claudio Conti; Natalia G. Berloff (CoRR, 2025)

Exact Spin Elimination in Ising Hamiltonians and Energy-Based Machine Learning. - Natalia G. Berloff (CoRR, 2025)

Higher-Order Kuramoto Oscillator Network for Dense Associative Memory. - Jona Nagerl; Natalia G. Berloff (CoRR, 2025)

Analog optical computer for AI inference and combinatorial optimization. - Kirill P. Kalinin; Jannes Gladrow; Jiaqi Chu; James H. Clegg; Daniel Cletheroe; Douglas J. Kelly; Babak Rahmani; Grace Brennan; Burcu Canakci; Fabian Falck; Michael Hansen; Jim Kleewein; et al. (Nat., 2025)

Training of physical neural networks. - Ali Momeni 002; Babak Rahmani; Benjamin Scellier; Logan G. Wright; Peter L. McMahon; Clara C. Wanjura; Yuhang Li; Anas Skalli; Natalia G. Berloff; Tatsuhiro Onodera; Ilker Oguz; Francesco Morichetti; et al. (Nat., 2025)