Photonic Intelligence-Enabled Decision Maker for solving Hard Computational Problems

The integration of parallel convolution-operation technology with optical neural networks (ONNs) marks a breakthrough in computing, enhancing both performance and functionality through optical chaotic dynamical complexity. At the heart of this innovation lies an advanced optoelectronic feedback loop involving spatial light modulators (SLMs) and charge-coupled device (CCD) cameras. This feedback generates a spatio-temporal chaotic environment that enriches neural computations with high-bandwidth signals, paving the way for more precise and scalable problem-solving. My concept explores leveraging this optical chaos for multitask and multiparameter decision-making, combining quantum operations and classical communication within a hybrid framework. This approach can drive advancements in optimization, secure communication, and high-speed data processing, where the dynamic control of chaos and quantum resources will enable significant computational and practical gains.