Applications of complex-valued neural networks to coherent optical computing using phase-sensitive detection scheme

Abstract

Applications of complex-valued neural networks to optical signal processing using phase-sensitive detection schemes are proposed and discussed. In optical information processing systems, the advantages of complex-valued neural networks are realized directly utilizing the physical phenomena of lightwave and phase-sensitive optical detection. In the proposed system, the summation and nonlinear transform of the complex signals are processed quickly in parallel by using an optical circuit. The phase-sensitive detection scheme is used for extracting the complex-valued signals. The complex-valued neural networks implemented as optical neural systems provide a starting point for coherent optical neural networks.