Abstract: An optical computing device and a computing method are provided for an optical Ising machine with high operation efficiency. The optical computing device includes a first spin array, an optical feedback network, and a second spin array, where the optical feedback network is separately connected to the first spin array and the second spin array. The first spin array may receive a first group of signals including N optical pulses or N electrical signals, and generate a first group of spin signals including N spin signals. The optical feedback network may receive the first group of spin signals, and generate, based on the first group of spin signals and specified first data, a first group of feedback signals including N feedback signals. The first spin array and the second spin array may process a plurality of signals in parallel, to improve computation efficiency of the optical computing device.

Abstract: A prediction method for formation water yield of carbonate gas reservoir is provided, which includes: S1, constructing an initial prediction model for a formation water yield of a carbonate gas reservoir; S2, collecting and pre-processing raw data; where the raw data is raw data of parameters of the initial prediction model, and the raw data further includes raw data of a permeability when the initial prediction model does not involve permeability; S3, performing, according to the pre-processed raw data, an uncertainty analysis and a dimension reduction process on the parameters of the initial prediction model; S4, constructing a target prediction model for the formation water yield of the carbonate gas reservoir according to a result of dimension reduction process; and S5, obtaining, according to the target prediction model for formation water yield of carbonate reservoir, a predictive probability solution of formation water yield by combining a result of uncertainty analysis.

Abstract: A signal folding device receives an input signal, and performs frequency modulation on a plurality of first analog signals based on the input signal to obtain a plurality of modulated first analog signals, where a frequency difference between two adjacent first analog signals in the plurality of modulated first analog signals is the same. The signal folding device may filter the plurality of modulated first analog signals based on a specified bandwidth to obtain a second analog signal, and demodulate the second analog signal to obtain an output signal. The output signal is a folded signal of the input signal within a target amplitude, and the second analog signal is an analog signal within the bandwidth.

Abstract: An optical computing device including a parametric oscillator array, an interaction computing matrix, a first feedback module connected to two ends of the parametric oscillator array, and a second feedback module connected to the parametric oscillator array and the interaction computing array. The parametric oscillator array is configured to receive a first group of signals, and generate a first group of optical signals including a plurality of first optical signals. The interaction computing array is configured to receive the first group of optical signals, and perform matrix operation on the first group of optical signals. The first feedback module is configured to receive the first group of optical signals, and transmit the first group of optical signals to the parametric oscillator array. The second feedback module is configured to receive the second group of optical signals, and transmit the second group of optical signals to the parametric oscillator array.

Abstract: An optical computing device and a computing method are provided, to provide an optical Ising machine with high operation efficiency. The optical computing device includes a first spin array, an optical feedback network, and a second spin array, where the optical feedback network is separately connected to the first spin array and the second spin array. The first spin array may receive a first group of signals including N optical pulses or N electrical signals, and generate a first group of spin signals including N spin signals. The optical feedback network may receive the first group of spin signals, and generate, based on the first group of spin signals and specified first data, a first group of feedback signals including N feedback signals. The first spin array and the second spin array may process a plurality of signals in parallel, to improve computation efficiency of the optical computing device.