Optical neural network, data processing method and apparatus based on same, and storage medium

A data processing apparatus based on an optical neural network, comprising a processor configured to execute a computer program stored in a memory, wherein an optical interference unit of the optical neural network comprises a first interference optical path structure, a phase shifter, and a second interference optical path structure, the first interference optical path structure and the second interference optical path structure each comprise an internal phase shifter and an optical shifter, and upon execution of the computer program, the processor is configured to:

• respectively acquire beam-splitting ratios of beam splitters of the first interference optical path structure and the second interference optical path structure;
• in response to the beam-splitting ratios of the beam splitters satisfying a beam-splitting compensation condition, respectively acquire initial optical information, intermediate input optical information at an input port of the phase shifter, intermediate output optical information at an output port of the phase shifter, and final output optical information of an input optical signal;
• and
• in response to the initial optical information and the intermediate input optical information as well as the intermediate output optical information and the final output optical information satisfying a preset beam-splitting condition of the optical neural network, calculate parameters of internal phase shifters of the first interference optical path structure and the second interference optical path structure, so as to perform data processing by using the optical neural network based on the parameters.

A non-transitory computer-readable storage medium, storing a computer program executable by a processor, wherein upon execution by the processor, the computer program is configured to cause the processor to:

• respectively acquire beam-splitting ratios of beam splitters of a first interference optical path structure and a second interference optical path structure;
• wherein an optical interference unit of an optical neural network comprises the first interference optical path structure, a phase shifter, and the second interference optical path structure, the first interference optical path structure and the second interference optical path structure each comprise an internal phase shifter and an optical shifter;
• in response to the beam-splitting ratios of the beam splitters satisfying a beam-splitting compensation condition, respectively acquire initial optical information, intermediate input optical information at an input port of the phase shifter, intermediate output optical information at an output port of the phase shifter, and final output optical information of an input optical signal;
• and
• in response to the initial optical information and the intermediate input optical information as well as the intermediate output optical information and the final output optical information satisfying a preset beam-splitting condition of the optical neural network, calculate parameters of internal phase shifters of the first interference optical path structure and the second interference optical path structure, so as to perform data processing by using the optical neural network based on the parameters.