Neuromorphic computing with optomechanical oscillators
This paper proposes a theoretical framework for neuromorphic computing using networks of blue-detuned optomechanical oscillators, demonstrating their potential for machine learning applications through the analysis of collective synchronization and the successful modeling of an XOR gate.