Micro-ring resonance peak discrete regulation method, system, device and medium

Abstract

This invention provides a method, system, device, and medium for discrete modulation of microring resonant peaks, belonging to the field of photonic device modulation technology. The method includes: acquiring the output spectral data of a microring resonator and determining the center frequency and light intensity value of each resonant mode to construct a mode energy distribution vector and generate a mode competition matrix; calculating the effective gain value of each resonant mode and determining a target resonant mode based on a preset target frequency to generate corresponding modulation weight parameters; performing discrete modulation processing on the microring resonator to adjust the center frequency and light intensity value corresponding to the target resonant mode; acquiring the output spectral data after discrete modulation processing and updating the mode energy distribution vector and the mode competition matrix, performing iterative modulation until a preset termination condition is met. This invention achieves stable enhancement of the target resonant mode and effective suppression of the influence of multimode competition.

Description

Technical Field

[0001] This invention relates to the field of photonic device modulation technology, specifically to a method, system, device, and medium for discrete modulation of microring resonance peaks. Background Technology

[0002] Microring resonators, due to their high quality factor and miniaturized integration advantages, have become an important structure for realizing frequency selection and nonlinear optical effects in on-chip photonic devices, finding applications in quantum light sources, frequency combs, and precision measurement. In practical applications, microring resonators typically excite multiple resonant modes simultaneously under pump conditions. These modes exhibit a periodic distribution in the frequency domain and participate in energy exchange through material nonlinear effects. During engineering implementation, the position of the resonant peak can be shifted as a whole through electrothermal control or coupling coefficient adjustment. However, these control methods essentially affect the overall characteristics of the resonator and lack the ability to specifically adjust individual resonant modes.

[0003] During the actual debugging process, it can be observed that when a target resonant peak is enhanced, its adjacent modes often respond synchronously, exhibiting a competitive allocation of pump energy among multiple modes. This competitive relationship limits the intensity enhancement of the target resonant mode and introduces additional mode interference, leading to unstable energy distribution in the output spectrum. Existing methods typically perform empirical matching by repeatedly scanning electrothermal parameters or adjusting the coupling structure. However, the control process relies on manual experience, lacks clear calculation basis, and the coupling effects between different modes are difficult to separate, easily resulting in overall drift caused by adjusting one mode.

[0004] Therefore, in multi-mode operation, how to achieve independent control of the target resonant mode without changing the overall structure of the device, while suppressing the competitive influence of non-target modes, and establishing a control mechanism with a calculable path, is a technical problem that urgently needs to be solved in the current micro-ring resonator control process. Summary of the Invention

[0005] The purpose of this invention is to provide a method, system, device, and medium for discrete control of micro-ring resonant peaks, so as to at least solve the problem that competitive coupling between multi-mode resonant modes makes it difficult to independently control the target resonant peak.

[0006] To achieve the above objectives, a first aspect of the present invention provides a method for discrete modulation of microring resonator peaks. The method includes: acquiring output spectral data of a microring resonator, determining the center frequency and light intensity value of each resonant mode based on the output spectral data to construct a mode energy distribution vector, and generating a mode competition matrix based on the frequency relationship between each resonant mode; calculating the effective gain value of each resonant mode based on the mode energy distribution vector and the mode competition matrix, and determining a target resonant mode according to a preset target frequency to generate corresponding modulation weight parameters; performing discrete modulation processing on the microring resonator based on the modulation weight parameters to adjust the center frequency and light intensity value corresponding to the target resonant mode; acquiring the output spectral data after discrete modulation processing, updating the mode energy distribution vector and the mode competition matrix based on the output spectral data, and performing iterative modulation until a preset termination condition is met.

[0007] Optionally, determining the center frequency and light intensity value of each resonant mode based on the output spectral data to construct a mode energy distribution vector includes: performing spectral peak detection processing on the output spectral data to obtain the spectral peak position and peak amplitude corresponding to each resonant mode; calibrating the frequency coordinates of each resonant mode based on the spectral peak position corresponding to each resonant mode to obtain the center frequency of each resonant mode; normalizing the light intensity value of each resonant mode based on the peak amplitude corresponding to each resonant mode to obtain the light intensity value of each resonant mode; and serializing the corresponding light intensity values ​​according to the sorting result of the center frequencies of each resonant mode to generate the mode energy distribution vector.

[0008] Optionally, generating a mode competition matrix based on the frequency relationship between each resonant mode includes: calculating the frequency difference between any two resonant modes by combining the center frequencies of each resonant mode pairwise, and generating a set of frequency difference values; performing normalization processing on the frequency interval between each resonant mode based on the set of frequency difference values ​​to obtain the corresponding normalized frequency interval parameters; calculating the competition coupling coefficient between any two resonant modes according to a preset functional relationship based on the normalized frequency interval parameters to generate a set of competition coupling coefficients; and arranging the set of competition coupling coefficients in a matrix according to the order of the resonant modes to generate the mode competition matrix.

[0009] Optionally, the effective gain value of each resonant mode is calculated based on the mode energy distribution vector and the mode competition matrix, and the target resonant mode is determined according to the preset target frequency to generate corresponding control weight parameters. This includes: obtaining the light intensity value corresponding to each resonant mode based on the mode energy distribution vector, and extracting the competition coupling coefficient corresponding to each resonant mode in combination with the mode competition matrix to generate the competition weighting parameter corresponding to each resonant mode; performing competition suppression calculation processing on each resonant mode based on the light intensity value corresponding to each resonant mode and the competition weighting parameter to obtain the effective gain value of each resonant mode; calculating the frequency deviation between the center frequency of each resonant mode and the preset target frequency, and selecting the resonant mode with the smallest frequency deviation from each resonant mode based on the frequency deviation to determine the target resonant mode; and performing weight mapping processing on the target resonant mode based on the relationship between the effective gain value of the target resonant mode and the effective gain values ​​of each resonant mode to generate the control weight parameters.

[0010] Optionally, discrete control processing is performed on the micro-ring resonator based on the control weight parameters to adjust the center frequency and light intensity value corresponding to the target resonance mode. This includes: performing parameter mapping processing on the electrothermal control unit in the micro-ring resonator based on the control weight parameters to determine the corresponding control current; applying the control current to the electrothermal control unit to perform offset adjustment processing on the center frequency corresponding to the target resonance mode; performing parameter mapping processing on the coupling structure of the micro-ring resonator based on the control weight parameters to determine the corresponding coupling coefficient adjustment amount; performing adjustment processing on the coupling structure based on the coupling coefficient adjustment amount to perform adjustment processing on the light intensity value corresponding to the target resonance mode; and outputting the offset adjustment processing result of the center frequency and the adjustment result of the light intensity value as discrete control processing results.

[0011] Optionally, the process involves acquiring the output spectral data after discrete modulation processing, updating the mode energy distribution vector and the mode competition matrix based on the output spectral data, and performing iterative modulation until a preset termination condition is met. This includes: acquiring the output spectral data after discrete modulation processing, and re-extracting the center frequency and light intensity value of each resonant mode based on the output spectral data to update the mode energy distribution vector; recalculating the frequency relationship between each resonant mode based on the updated center frequency of each resonant mode to update the mode competition matrix; recalculating the effective gain value of each resonant mode based on the updated mode energy distribution vector and the mode competition matrix, and determining the updated modulation weight parameters; performing discrete modulation processing again based on the updated modulation weight parameters to generate a new discrete modulation processing result; comparing the new discrete modulation processing result with the preset termination condition, and if the preset termination condition is not met, using the output spectral data corresponding to the new discrete modulation processing result as the input data for the next iteration to continue the modulation processing.

[0012] Optionally, the preset termination condition is as follows: The gain change is calculated based on the difference between the effective gain value of the target resonant mode obtained in the current iteration and the effective gain value corresponding to the previous iteration, and a first termination condition is determined to be satisfied when the gain change is less than a preset gain change threshold; the center frequency of the target resonant mode is extracted based on the output spectral data obtained in the current iteration, and the frequency deviation between the center frequency and the preset target frequency is calculated, and a second termination condition is determined to be satisfied when the frequency deviation is less than a preset frequency deviation threshold; the light intensity value of the target resonant mode is extracted based on the output spectral data obtained in the current iteration, and the difference between the light intensity value and a preset light intensity threshold is calculated, and a third termination condition is determined to be satisfied when the light intensity value is greater than the preset light intensity threshold; the preset termination condition is determined to be satisfied when the first termination condition, the second termination condition, and the third termination condition are satisfied simultaneously.

[0013] A second aspect of the present invention provides a discrete control system for microring resonator peaks. The system includes: a data acquisition unit, configured to acquire output spectral data of a microring resonator, determine the center frequency and light intensity value of each resonant mode based on the output spectral data to construct a mode energy distribution vector, and generate a mode competition matrix based on the frequency relationship between each resonant mode; a weight parameter generation unit, configured to calculate the effective gain value of each resonant mode based on the mode energy distribution vector and the mode competition matrix, and determine a target resonant mode according to a preset target frequency to generate corresponding control weight parameters; a control unit, configured to perform discrete control processing on the microring resonator based on the control weight parameters to adjust the center frequency and light intensity value corresponding to the target resonant mode; and an iteration unit, configured to acquire the output spectral data after discrete control processing, update the mode energy distribution vector and the mode competition matrix based on the output spectral data, and perform iterative control until a preset termination condition is met.

[0014] A third aspect of the present invention provides an electronic device, comprising: one or more processors; and a storage device having stored one or more programs thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the microring resonance peak discrete control method as described above.

[0015] On the other hand, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described microring resonance peak discrete control method.

[0016] Through the above technical solution, the present invention performs mode analysis on the output spectral data, constructs the mode energy distribution vector and mode competition matrix, establishes a characterization of the coupling relationship between each resonant mode, and calculates the effective gain value based on this relationship to achieve quantitative evaluation of the target resonant mode. On this basis, discrete control is performed on the micro-ring resonator by adjusting the weight parameters, so that the center frequency and light intensity value of the target resonant mode can be directionally adjusted in a multi-mode competition environment. At the same time, combined with the feedback update mechanism of the output spectrum, the mode energy distribution vector and mode competition matrix are continuously corrected to form an iterative control path, thereby achieving stable control of the target resonant mode under multi-mode coupling conditions.

[0017] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of the steps of a discrete control method for microring resonance peaks provided in one embodiment of the present invention; Figure 2 This is a system structure diagram of a discrete control system for micro-ring resonant peaks provided in one embodiment of the present invention; Figure 3 This is an internal structural diagram of a computer device provided in one embodiment of the present invention. Detailed Implementation

[0019] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0020] like Figure 1 As shown, an embodiment of the present invention provides a method for discrete modulation of microring resonance peaks, the method comprising: Step S10: Obtain the output spectral data of the micro-ring resonator, and determine the center frequency and light intensity value of each resonant mode based on the output spectral data to construct the mode energy distribution vector, and generate the mode competition matrix based on the frequency relationship between each resonant mode.

[0021] Specifically, the output spectral data undergoes spectral peak detection processing to obtain the spectral peak position and peak amplitude corresponding to each resonant mode; the frequency coordinates of each resonant mode are calibrated based on the spectral peak position to obtain the center frequency of each resonant mode; the light intensity value of each resonant mode is normalized based on the peak amplitude to obtain the light intensity value of each resonant mode; and the corresponding light intensity values ​​are sequentially arranged according to the sorting result of the center frequencies of each resonant mode to generate the mode energy distribution vector.

[0022] Furthermore, generating a mode competition matrix based on the frequency relationships between each resonant mode includes: calculating the frequency difference between any two resonant modes by combining the center frequencies of each resonant mode pairwise, generating a set of frequency difference values; performing normalization processing on the frequency intervals between each resonant mode based on the set of frequency difference values ​​to obtain the corresponding normalized frequency interval parameters; calculating the competition coupling coefficient between any two resonant modes according to a preset functional relationship based on the normalized frequency interval parameters to generate a set of competition coupling coefficients; and arranging the set of competition coupling coefficients in a matrix according to the order of the resonant modes to generate the mode competition matrix.

[0023] In this embodiment of the invention, the output spectral data can be directly acquired by a spectral analyzer or an on-chip monitoring detector. The data format is typically a sequence of light intensity corresponding to discrete frequency sampling points, which can be represented as follows: Before proceeding to further processing, this data has generally undergone basic denoising and baseline correction, giving the spectral peaks distinct local maxima characteristics.

[0024] For the output spectral data, when performing spectral peak detection processing, local peaks can be extracted using a method combining the zero-crossing point of the first derivative and the sign determination of the second derivative. Specifically, for the light intensity sequence... Calculate its first derivative When satisfied and At that time, the corresponding frequency position The spectral peak position is determined to be the resonant mode. This position serves as the initial frequency coordinate for that resonant mode. Further refinement, considering the spectral sampling resolution, can be achieved by interpolating around the peak, for example, by using parabolic fitting to correct the peak position, thus obtaining a more accurate center frequency. .

[0025] After obtaining the center frequency of each resonant mode, the corresponding peak amplitude is... This serves as the raw light intensity value for this model. To eliminate the scale effects caused by variations in different measurement batches or pump power, the light intensity value is normalized. Normalization can take the following form:

[0026] in, Indicates the first Normalized light intensity values ​​of each resonant mode This represents the total number of resonant modes. Through this processing, the light intensity of each mode is mapped to a unified dimension, facilitating subsequent calculations of inter-mode relationships. Based on the center frequency... After sorting from smallest to largest, the corresponding Arranged in order, forming a pattern energy distribution vector:

[0027] In this scheme, this vector serves as the basic input for subsequent pattern competition relationship modeling. Its order corresponds one-to-one with the frequency, ensuring index consistency in the subsequent matrix construction process.

[0028] In constructing the mode competition matrix, pairwise combination operations are performed based on the center frequencies of each resonant mode. For any two resonant modes... and The frequency difference is defined as:

[0029] all This constitutes a set of frequency differences. Considering the potential differences in the free spectral range (FSR) of different devices, to ensure the comparability of these differences across different scales, the frequency differences are normalized. The normalized form can be expressed as:

[0030] in, The preset reference frequency spacing parameter can be selected as the device's free spectral range or its integer components in engineering practice. This processing maps the frequency difference to a dimensionless space, facilitating a unified description of the relative spacing relationships between modes.

[0031] Building upon this, a competition coupling coefficient is introduced to characterize the coupling strength between modes. The competition coupling coefficient can be calculated based on the normalized frequency interval using a preset functional relationship, for example, by employing an exponential decay form:

[0032] in, Indicates the first The resonant mode and the first The competing coupling coefficient between resonant modes. This function reflects the physical characteristic that the smaller the frequency interval, the stronger the competition between modes; as the frequency interval increases, the coupling effect gradually weakens. In practical applications, this functional relationship can also be adjusted according to the device material characteristics or experimental calibration results, such as by introducing a scaling factor or a piecewise function form, all of which are within the scope of this scheme.

[0033] All Arranging the modes according to their order of resonance modes allows us to construct a mode competition matrix:

[0034] Among them, diagonal elements Preset values ​​can be used to represent the reference weights of the mode itself. This matrix maintains the same index as the mode energy distribution vector, allowing for direct correlation operations on corresponding elements in subsequent calculations.

[0035] In one specific implementation, if five resonant modes are detected in the output spectrum, their center frequencies are respectively Then, through the above steps, a mode energy distribution vector of length 5 can be obtained, as well as... The pattern competition matrix is ​​obtained. This result will serve as a direct input for subsequent effective gain calculation and weight generation, eliminating the need for additional data structures and facilitating engineering implementation.

[0036] It should be noted that the spectral line detection method, normalization method, and competitive coupling function form can all be replaced or combined according to the specific device characteristics. As long as the processing path of constructing the mode energy distribution vector based on the output spectral data and generating the mode competition matrix based on the frequency relationship is satisfied, it falls within the protection scope of this application.

[0037] Step S20: Calculate the effective gain value of each resonant mode based on the mode energy distribution vector and the mode competition matrix, and determine the target resonant mode according to the preset target frequency to generate the corresponding control weight parameters.

[0038] Specifically, the light intensity value corresponding to each resonant mode is obtained based on the mode energy distribution vector, and the competition coupling coefficient corresponding to each resonant mode is extracted by combining the mode competition matrix to generate the competition weighting parameter corresponding to each resonant mode; based on the light intensity value corresponding to each resonant mode and the competition weighting parameter, competition suppression calculation is performed on each resonant mode to obtain the effective gain value of each resonant mode; the center frequency of each resonant mode is calculated to be different from the preset target frequency, and the resonant mode with the smallest frequency deviation is selected from the resonant modes based on the frequency deviation to be determined as the target resonant mode; based on the relationship between the effective gain value of the target resonant mode and the effective gain values ​​of each resonant mode, weight mapping is performed on the target resonant mode to generate the control weighting parameter.

[0039] In this embodiment of the invention, the mode energy distribution vector Competition Matrix with Pattern The above steps have already established a one-to-one correspondence between the two indices, so they can be directly used for calculating the effective gain of each resonant mode. The key point here is to couple the original light intensity information of each mode with its competing environment to obtain an effective gain value that reflects the actual contribution capability of the mode.

[0040] In the specific implementation, regarding the first... Each resonant mode is used to extract the corresponding light intensity value from the energy distribution vector of that mode. Simultaneously, extract the corresponding pattern from the pattern competition matrix. row element This characterizes the competitive relationship between this model and other models. Based on this relationship, corresponding competition weighting parameters can be constructed. Its expression can be written as:

[0041] in, Indicates the first The overall competitive impact on each resonant mode under the current mode distribution conditions is considered. A larger value indicates a more significant energy diversion to that mode. Based on this, competition suppression calculations are performed on each resonant mode to obtain the effective gain value. For example, it can be in the following form:

[0042] in, Indicates the first The effective gain value of each resonant mode. This definition means that when a mode accounts for a high proportion of the energy distribution and its competitive influence is weak, the corresponding effective gain value will be relatively large; conversely, when the mode is strongly competitive by surrounding modes, its effective gain value will be suppressed. Through this processing, simple light intensity information can be transformed into a characterization quantity that takes into account the competition relationship, which facilitates subsequent control decisions.

[0043] After calculating the effective gain of each resonant mode, the process of determining the target resonant mode begins. The center frequency of each resonant mode is then determined. With preset target frequency Matching can be performed by calculating the frequency deviation. And select the pattern index corresponding to the minimum value. This allows for the determination of the target resonant mode. In engineering implementation, this matching process can be directly accomplished through array search, resulting in high implementation efficiency.

[0044] After determining the target resonant mode, its effective gain information needs to be further mapped to the control weight parameters required for subsequent control. In this embodiment, the effective gain value of the target resonant mode can be used as the basis for this mapping. With the set of effective gain values ​​for all resonant modes The relationships between them are used to construct a weight mapping. For example, a normalized form can be used:

[0045] in, This represents the control weight parameter corresponding to the target resonant mode. This weight reflects the relative dominance of the target mode in the current mode system and can be directly used as an input parameter in subsequent discrete control processing to determine the intensity of electrothermal control or the adjustment range of the coupling coefficient.

[0046] In one specific implementation, if a microring resonator has multiple adjacent modes in its current operating state, and the mode corresponding to the target frequency is not at its maximum in the original light intensity, but its surrounding modes are sparsely distributed, then after the above-mentioned competition suppression calculation, the effective gain value of this mode may be increased, thereby obtaining a higher control priority in the weighting mapping process. This approach can avoid the bias caused by relying solely on the maximum light intensity for judgment, making the control process more stable.

[0047] Step S30: Perform discrete control processing on the micro-ring resonator based on the control weight parameters to adjust the center frequency and light intensity value corresponding to the target resonance mode.

[0048] Specifically, based on the control weight parameters, the electrothermal control unit in the micro-ring resonator is subjected to parameter mapping processing to determine the corresponding control current; the control current is applied to the electrothermal control unit to perform offset adjustment processing on the center frequency corresponding to the target resonance mode; based on the control weight parameters, the coupling structure of the micro-ring resonator is subjected to parameter mapping processing to determine the corresponding coupling coefficient adjustment amount; based on the coupling coefficient adjustment amount, the coupling structure is adjusted to perform adjustment processing on the light intensity value corresponding to the target resonance mode; the offset adjustment result of the center frequency and the adjustment result of the light intensity value are output as discrete control processing results.

[0049] In this embodiment of the invention, the weighting parameter is adjusted. As a key intermediate quantity obtained from previous calculations, it directly participates in the physical control process of the microring resonator. This parameter itself does not directly act on the device, but is transformed into a control quantity for the electrothermal control unit and the coupling structure through parameter mapping, thereby achieving discrete adjustment of the target resonant mode. The approach here is to convert the mode-level weights into executable quantities at the device level, ensuring that the control path is continuous and implementable.

[0050] For center frequency adjustment, the electrothermal control unit is typically distributed near the microring resonator in the form of heating electrodes. Its mechanism stems from the characteristic that the material's refractive index changes with temperature. In the actual mapping process, the control current can be constructed based on the control weight parameters. The correspondence between weights can be expressed, for example, using a linear mapping:

[0051] in, To preset the reference current, For adjustment coefficients, These are the control weighting parameters corresponding to the target resonant mode. Applying this current to the corresponding electrothermal control unit will cause a local temperature change. This leads to a change in the effective refractive index. Under a small-range approximation, the shift in center frequency can be expressed as:

[0052] in, The original center frequency, The effective refractive index is used. Through the above process, a controllable shift in the center frequency of the target resonant mode can be achieved. In engineering implementation, the relationship between current and temperature can be obtained through calibration curves, thereby avoiding direct reliance on theoretical models and improving stability.

[0053] In terms of light intensity adjustment, this is mainly achieved by adjusting the coupling structure of the microring resonator. The coupling structure can be adjusted equivalently to the waveguide spacing or the length of the coupling region, essentially changing the external coupling coefficient. Based on the control weight parameters, the coupling coefficient adjustment amount can be constructed. The mapping relationship between weights, for example:

[0054] in, The initial coupling coefficients are... This adjustment is for the scaling factor. By applying this adjustment to the coupling structure, the coupling state of the target resonant mode can be changed, adjusting it between undercoupling, critical coupling, or overcoupling, thereby regulating the output light intensity. Generally, when the coupling state approaches critical coupling, the output light intensity can reach a higher level; this process can be driven by weighting parameters.

[0055] In actual control, the electrothermal control unit and the coupling structure are adjusted in parallel. They correspond to the adjustment paths of the center frequency and light intensity value, respectively, without conflict but working synergistically in the result. After control is completed, by re-acquiring the output spectral data, the updated center frequency and light intensity values ​​can be obtained, i.e.:

[0056] in, The adjusted center frequency, This is the adjusted light intensity value. This result is output as the result of discrete control processing and is directly used as input data for the next round of iteration calculation.

[0057] Step S40: Take the output spectral data after discrete control processing, and update the mode energy distribution vector and the mode competition matrix based on the output spectral data, and perform iterative control until the preset termination condition is met.

[0058] Specifically, the process involves acquiring the output spectral data after discrete modulation processing, and re-extracting the center frequency and light intensity values ​​of each resonant mode based on the output spectral data to update the mode energy distribution vector; recalculating the frequency relationship between each resonant mode based on the updated center frequencies of each resonant mode to update the mode competition matrix; recalculating the effective gain value of each resonant mode based on the updated mode energy distribution vector and the mode competition matrix, and determining the updated modulation weight parameters; performing discrete modulation processing again based on the updated modulation weight parameters to generate a new discrete modulation processing result; comparing the new discrete modulation processing result with the preset termination condition, and if the preset termination condition is not met, using the output spectral data corresponding to the new discrete modulation processing result as the input data for the next iteration to continue the modulation processing.

[0059] Furthermore, the preset termination condition is as follows: The gain change is calculated based on the difference between the effective gain value of the target resonant mode obtained in the current iteration and the effective gain value corresponding to the previous iteration; the first termination condition is satisfied when the gain change is less than a preset gain change threshold; the center frequency of the target resonant mode is extracted based on the output spectral data obtained in the current iteration, and the frequency deviation between the center frequency and the preset target frequency is calculated; the second termination condition is satisfied when the frequency deviation is less than a preset frequency deviation threshold; the light intensity value of the target resonant mode is extracted based on the output spectral data obtained in the current iteration, and the difference between the light intensity value and a preset light intensity threshold is calculated; the third termination condition is satisfied when the light intensity value is greater than the preset light intensity threshold; the preset termination condition is satisfied when the first termination condition, the second termination condition, and the third termination condition are all satisfied simultaneously.

[0060] In this embodiment of the invention, the discrete control processing is not completed all at once, but rather a closed-loop update mechanism is formed using the output spectrum as feedback. After the control is completed, new output spectral data is acquired through the spectral acquisition module. This data serves as a true representation of the current state and is input into the subsequent update process. The data processing path here remains consistent with the initial processing described above to ensure the consistency and comparability of the variables throughout the iteration process.

[0061] Based on the output spectral data, the peak extraction and frequency calibration processes are re-executed to obtain the updated center frequencies of each resonant mode. and corresponding light intensity value Similarly, the light intensity values ​​are normalized:

[0062] Thus, the updated mode energy distribution vector is obtained. Based on this, the frequency differences between each mode are recalculated using the updated center frequency set:

[0063] The normalized frequency interval parameter is obtained according to the established normalization rule. Furthermore, the competing coupling coefficient is updated through a preset functional relationship:

[0064] This generates an updated pattern competition matrix. The matrix and The index remains consistent to ensure the continuity of subsequent calculations.

[0065] By combining the updated mode energy distribution vector and mode competition matrix, the effective gain value of each resonant mode is recalculated. For the The resonant modes, with their competing weighting parameters and effective gain values, are as follows:

[0066] Based on this, by matching the preset target frequency Perform matching to determine the target resonant mode index. Based on this, updated control weight parameters are generated. This weighting parameter will again be used as input to drive the next round of discrete control processing.

[0067] During the iteration process, it is necessary to determine whether to continue the adjustment. This implementation sets up multi-dimensional termination conditions to avoid instability caused by a single criterion. For gain convergence, the effective gain change between the current iteration and the previous iteration is calculated:

[0068] when When the gain change tends to stabilize, the frequency alignment is determined. The deviation between the center frequency of the target resonant mode and the preset target frequency is calculated.

[0069] when When the frequency meets the set requirements, it is determined that the frequency is sufficient. For light intensity constraints, the current light intensity value is directly compared with the preset light intensity threshold. ,when When this occurs, it indicates that the target mode has reached the expected energy level.

[0070] In engineering implementation, the three criteria can be judged jointly. Only when all three conditions are met simultaneously is the preset termination condition considered met, and the iterative control process ends. If any condition is not met, the current output spectral data is used as the input for the next round, and the update calculation and discrete control processing continue.

[0071] In another possible implementation, during each round of acquiring output spectral data, not only are the mode energy distribution vector and mode competition matrix extracted at the current moment, but historical data from multiple consecutive iterations are also cached to form a mode evolution sequence. Based on this sequence, a fitting process is performed on the effective gain variation trend of each resonant mode, for example, using linear prediction or exponential smoothing, to obtain the predicted effective gain value of the target resonant mode in the next iteration period. Based on this, the control weight parameters are fed forward to ensure that the adjustment of the control current and coupling coefficient takes into account the trend of the next step in the current iteration, thereby reducing the number of iterations. In practical applications, this method can be used to suppress the control delay caused by thermal response hysteresis or slow device drift, and is especially suitable for stable output scenarios of quantum light sources in continuous operation.

[0072] like Figure 2 As shown, this invention provides a discrete control system for micro-ring resonator peaks. The system includes: a data acquisition unit, used to acquire the output spectral data of a micro-ring resonator, and determine the center frequency and light intensity value of each resonant mode based on the output spectral data to construct a mode energy distribution vector, and generate a mode competition matrix based on the frequency relationship between each resonant mode; a weight parameter generation unit, used to calculate the effective gain value of each resonant mode based on the mode energy distribution vector and the mode competition matrix, and determine the target resonant mode according to a preset target frequency to generate corresponding control weight parameters; a control unit, used to perform discrete control processing on the micro-ring resonator based on the control weight parameters to adjust the center frequency and light intensity value corresponding to the target resonant mode; and an iteration unit, used to acquire the output spectral data after discrete control processing, and update the mode energy distribution vector and the mode competition matrix based on the output spectral data, and perform iterative control until a preset termination condition is met.

[0073] The present invention also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described microring resonance peak discrete control method.

[0074] This invention also provides an electronic device, including: one or more processors; and a storage device storing one or more programs thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the microring resonance peak discrete control method as described above.

[0075] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 3 As shown, the computer device includes a processor A01, a network interface A02, a memory (not shown), and a database (not shown) connected via a system bus. The processor A01 provides computing and control capabilities. The memory includes internal memory A03 and a non-volatile storage medium A04. The non-volatile storage medium A04 stores an operating system B01, a computer program B02, and a database (not shown). The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 stored in the non-volatile storage medium A04. The network interface A02 is used for communication with external terminals via a network connection. When the processor A01 executes the computer program B02, it implements a discrete modulation method for microring resonance peaks.

[0076] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0077] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details described above. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe the various possible combinations.

[0078] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the embodiments of the present invention, they should also be regarded as the content disclosed by the embodiments of the present invention.

Claims

1. A method for discrete tuning of a micro-ring resonant peak, characterized in that, The method includes: The output spectral data of the microring resonator is acquired, and the center frequency and light intensity value of each resonant mode are determined based on the output spectral data to construct the mode energy distribution vector, and a mode competition matrix is ​​generated based on the frequency relationship between each resonant mode. The effective gain value of each resonant mode is calculated based on the mode energy distribution vector and the mode competition matrix, and the target resonant mode is determined according to the preset target frequency to generate the corresponding control weight parameters. Based on the aforementioned control weight parameters, discrete control processing is performed on the micro-ring resonator to adjust the center frequency and light intensity value corresponding to the target resonance mode; The output spectral data after discrete control processing is obtained, and the mode energy distribution vector and the mode competition matrix are updated based on the output spectral data. Iterative control is performed until a preset termination condition is met.

2. The method of claim 1, wherein the micro-ring resonant peak is a transmission peak. Based on the output spectral data, the center frequency and intensity value of each resonant mode are determined to construct a mode energy distribution vector, including: Perform spectral peak detection processing on the output spectral data to obtain the spectral peak position and peak amplitude corresponding to each resonant mode; The frequency coordinates of each resonant mode are calibrated based on the spectral peak positions corresponding to each resonant mode to obtain the center frequency of each resonant mode. The light intensity value of each resonance mode is normalized based on the peak amplitude corresponding to each resonance mode to obtain the light intensity value of each resonance mode. Based on the sorting results of the center frequencies of each resonant mode, the corresponding light intensity values ​​are sequentially arranged to generate the mode energy distribution vector.

3. The method of claim 1, wherein the micro-ring resonant peak is a transmission peak. A mode competition matrix is ​​generated based on the frequency relationships between each resonant mode, including: Based on the pairwise combination of the center frequencies of each resonant mode, the frequency difference between any two resonant modes is calculated to generate a set of frequency differences. Based on the set of frequency differences, the frequency interval between each resonant mode is normalized to obtain the corresponding normalized frequency interval parameter. Based on the normalized frequency interval parameter, the competing coupling coefficient between any two resonant modes is calculated according to a preset functional relationship to generate a set of competing coupling coefficients. The set of competing coupling coefficients is arranged in a matrix according to the order of the resonant modes to generate the mode competition matrix.

4. The method for discrete modulation of microring resonance peaks according to claim 1, characterized in that, The effective gain value of each resonant mode is calculated based on the mode energy distribution vector and the mode competition matrix, and the target resonant mode is determined according to the preset target frequency to generate corresponding control weight parameters, including: Based on the mode energy distribution vector, the light intensity value corresponding to each resonant mode is obtained, and the competitive coupling coefficient corresponding to each resonant mode is extracted by combining the mode competition matrix to generate the competitive weighting parameter corresponding to each resonant mode. Based on the light intensity value corresponding to each resonance mode and the competition weighting parameter, a competition suppression calculation is performed on each resonance mode to obtain the effective gain value of each resonance mode. The center frequency of each resonance mode is calculated to be the frequency deviation from the preset target frequency. Based on the frequency deviation, the resonance mode with the smallest frequency deviation is selected from the resonance modes and determined as the target resonance mode. Based on the relationship between the effective gain value of the target resonant mode and the effective gain values ​​of each resonant mode, a weight mapping process is performed on the target resonant mode to generate the control weight parameters.

5. The method for discrete modulation of microring resonance peaks according to claim 1, characterized in that, Based on the aforementioned control weight parameters, discrete control processing is performed on the micro-ring resonator to adjust the center frequency and light intensity value corresponding to the target resonance mode, including: Based on the aforementioned control weight parameters, the electrothermal control unit in the micro-ring resonator is subjected to parameter mapping processing to determine the corresponding control current. The regulating current is applied to the electrothermal regulating unit to perform offset adjustment processing on the center frequency corresponding to the target resonant mode; Based on the aforementioned control weight parameters, the coupling structure of the micro-ring resonator is subjected to parameter mapping processing to determine the corresponding coupling coefficient adjustment amount; The coupling structure is adjusted based on the coupling coefficient adjustment amount to adjust the light intensity value corresponding to the target resonant mode. The results of the center frequency offset adjustment and the light intensity adjustment are output as discrete control processing results.

6. The method for discrete modulation of microring resonance peaks according to claim 5, characterized in that, Acquire the output spectral data after discrete modulation processing, and update the mode energy distribution vector and the mode competition matrix based on the output spectral data, performing iterative modulation until a preset termination condition is met, including: The output spectral data after discrete modulation processing is obtained, and the center frequency and light intensity value of each resonant mode are re-extracted based on the output spectral data to update the mode energy distribution vector; Based on the updated center frequencies of each resonant mode, the frequency relationships between each resonant mode are recalculated to update the mode competition matrix; Based on the updated mode energy distribution vector and the mode competition matrix, the effective gain value of each resonant mode is recalculated, and the updated control weight parameters are determined. Based on the updated control weight parameters, perform discrete control processing again to generate new discrete control processing results; The new discrete control processing result is compared with the preset termination condition. If the preset termination condition is not met, the output spectral data corresponding to the new discrete control processing result is used as the input data for the next iteration to continue the control processing.

7. The method of claim 6, wherein the micro-ring resonant peak is a transmission peak. The preset termination condition is: The gain change is calculated based on the difference between the effective gain value of the target resonant mode obtained in the current iteration and the effective gain value corresponding to the previous iteration, and the first termination condition is determined to be met when the gain change is less than the preset gain change threshold. The center frequency of the target resonant mode is extracted based on the output spectral data obtained from the current iteration, and the frequency deviation between the center frequency and the preset target frequency is calculated. When the frequency deviation is less than the preset frequency deviation threshold, it is determined that the second termination condition is met. The light intensity value of the target resonant mode is extracted based on the output spectral data obtained from the current iteration, and the difference between the light intensity value and the preset light intensity threshold is calculated. When the light intensity value is greater than the preset light intensity threshold, it is determined that the third termination condition is met. When the first termination condition, the second termination condition, and the third termination condition are all satisfied simultaneously, it is determined that the preset termination condition is satisfied.

8. A discrete control system for micro-ring resonant peaks, characterized in that, The system includes: The data acquisition unit is used to acquire the output spectral data of the micro-ring resonator, and determine the center frequency and light intensity value of each resonant mode based on the output spectral data to construct the mode energy distribution vector, and generate the mode competition matrix based on the frequency relationship between each resonant mode. The weight parameter generation unit is used to calculate the effective gain value of each resonant mode based on the mode energy distribution vector and the mode competition matrix, and to determine the target resonant mode according to the preset target frequency, so as to generate the corresponding control weight parameters. The control unit is used to perform discrete control processing on the micro-ring resonator based on the control weight parameters, so as to adjust the center frequency and light intensity value corresponding to the target resonance mode; An iterative unit is used to acquire the output spectral data after discrete modulation processing, and update the mode energy distribution vector and the mode competition matrix based on the output spectral data, and perform iterative modulation until a preset termination condition is met.

9. An electronic device, characterized in that, include: One or more processors; A storage device having stored one or more programs thereon, which, when executed by one or more processors, cause the one or more processors to implement the discrete control method for microring resonance peaks as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the discrete control method for the microring resonance peak as described in any one of claims 1-7.

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