Design method and system for high-performance silicon-based heat insulation micro-ring

Abstract

The invention relates to a high-performance silicon-based heat insulation micro-ring design method and system, and belongs to the technical field of photoelectrons. Comprising the following steps: drawing a half outer contour curve of a to-be-designed micro-ring by utilizing double Euler bending according to a free spectral range of the to-be-designed micro-ring; using the N-order Bezier curve and optimizing control point coordinates of the N-order Bezier curve according to a transmission loss minimum principle, and drawing a half inner contour curve of the to-be-designed micro-ring; wherein N is a positive integer greater than 1; the transmission loss is half micro-ring transverse electric field 0-order mode transmission loss; obtaining a half optimized micro-ring according to the half outer contour curve and the half inner contour curve; and splicing the two half optimized micro-rings into a complete micro-ring. According to the invention, serious mode loss occurring when a wider multi-mode waveguide is used and serious bending loss occurring when a small bending radius design is adopted are avoided, and the problem that the doping space of the micro-ring is narrow due to the limited waveguide width is solved. And meanwhile, the free spectral range of the micro-ring is enlarged.

Description

Technical Field

[0001] The invention relates to the field of optoelectronic technology, and in particular to a high-performance silicon-based adiabatic microring design method and system. Background Art

[0002] Since Marcatili first proposed the concept of microring resonators in 1969, after decades of technological evolution, this field has become a hot topic in silicon photonics research. Although microring resonators have made many advances in theory and experiment, they still face a series of challenges in practical applications. First, the performance of existing microrings is sensitive to manufacturing errors, which limits their potential for application in mass production. Slight dimensional changes or manufacturing deviations can lead to significant shifts in the resonant wavelength, thus affecting the stability and reliability of the device.

[0003] In order to solve this problem, adiabatic microring (AM) was developed as a specially designed microring resonator. Adiabatic microring uses the adiabatic principle to reduce the energy loss in the waveguide mode conversion process, thereby improving the manufacturing tolerance of the device and reducing the resonant wavelength deviation caused by manufacturing errors. This feature makes it have broad application prospects in optical communications, optical information processing, photonic integrated circuits and other fields.

[0004] However, adiabatic microrings also face some problems in practical applications. For example, when using wider multimode waveguides, adiabatic microrings may experience severe mode losses, or require an ultra-large bending radius to avoid losses, which limits its application scenarios and occupies a large amount of on-chip resources. In addition, since the waveguide width is still very narrow, the space for microring doping is small, which is not conducive to actual manufacturing and the improvement of microring performance. At the same time, a small bending radius may also cause severe bending losses, which cannot further improve the device performance. On the other hand, although adiabatic microrings have made certain progress in design and implementation, their free spectrum range (FSR) is still small and cannot meet the needs of multi-scenario applications. This limits the applicability of adiabatic microrings in more complex and wider application scenarios. Summary of the invention

[0005] To this end, the technical problem to be solved by the present invention is to overcome the serious mode loss when using a wider multimode waveguide in the prior art, the serious bending loss that may occur when using a smaller bending radius, the small micro-ring doping space due to the narrow waveguide width, and the smaller free spectrum range.

[0006] In the first aspect, in order to solve the above technical problems, the present invention provides a high-performance silicon-based adiabatic microring design method, comprising:

[0007] S101, according to the free spectrum range of the microring to be designed, using double Euler bending to draw a half outer contour curve of the microring to be designed; using an N-order Bezier curve and optimizing the control point coordinates of the N-order Bezier curve according to the principle of minimum transmission loss, to draw a half inner contour curve of the microring to be designed; wherein N is a positive integer greater than 1; the transmission loss is the transmission loss of the 0th order mode of the transverse electric field of half the microring;

[0008] S102, obtaining a half optimized micro-ring according to the half outer contour curve and the half inner contour curve;

[0009] S103, splicing the two half optimized microrings into a complete microring.

[0010] In one embodiment of the present invention, optimizing the control point coordinates of the N-order Bezier curve according to the principle of minimum transmission loss includes an ant colony algorithm, and the ant colony algorithm is:

[0011] S201, each ant randomly initializes the coordinates of the Bezier control point;

[0012] S202, importing the coordinates of the ant corresponding curve into the software, and calculating the transmission loss value of the 0th order mode of the transverse electric field of half a microring;

[0013] S203, calculating the transfer probability according to the transmission loss value and determining the search mode;

[0014] S204, returning to S202 until the specified number of iterations is reached, and obtaining the coordinates of the control points of the Bezier curve of the ant with the largest pheromone.

[0015] In one embodiment of the present invention, the step S101 includes determining parameters of the dual Euler bending and initializing the coordinates of the control points.

[0016] In one embodiment of the present invention, S101 also includes drawing the dual Euler curve according to the Euler equation to obtain the coordinates of each point on the dual Euler curve; substituting the control point coordinates into the Bezier control equation to obtain the coordinates of each point on the N-order Bezier curve.

[0017] In one embodiment of the present invention, the Euler equation is:

[0018]

[0019] Among them, x(s) is the coordinate of the curve on the X axis, y(s) is the coordinate of the curve on the Y axis, s is the normalized length, R 0 is a freely chosen radius and t is the sampling sequence.

[0020] In one embodiment of the present invention, when the N-order Bezier curve is a 5-order Bezier curve, the expression of the control point coordinates is:

[0021]

[0022] Among them, P 1 ,P 2 ,P 3 ,P 4 P 5 ,P 6 are different control point coordinates, w 1 and w 2 are the waveguide widths of the different half-microring start and end points, b i is the i-th scale parameter, i∈{1,2,3,4}, r 1 and r 2 They are different inner contour dimensions in the x and y directions respectively.

[0023] In one embodiment of the present invention, the microring to be designed includes upper and lower bus waveguides and a microring cavity.

[0024] In the second aspect, in order to solve the above technical problems, the present invention provides a high-performance silicon-based adiabatic microring design system, comprising:

[0025] A micro-ring inner and outer contour drawing module is used to draw a half outer contour curve of the micro-ring to be designed by using double Euler bending according to the free spectrum range of the micro-ring to be designed, and to draw a half inner contour curve of the micro-ring to be designed by using an N-order Bezier curve and optimizing the control point coordinates of the N-order Bezier curve according to the principle of minimum transmission loss; wherein N is a positive integer greater than 1; and the transmission loss is the transmission loss of the 0th order mode of the transverse electric field of half the micro-ring;

[0026] The micro-ring splicing module is used to obtain a half optimized micro-ring according to the half outer contour curve and the half inner contour curve, and splice the two half optimized micro-rings into a complete micro-ring.

[0027] In a third aspect, in order to solve the above-mentioned technical problems, the present invention provides a chip, including the above-mentioned high-performance silicon-based adiabatic microring design system.

[0028] In a fourth aspect, in order to solve the above technical problem, the present invention provides a spectrum analyzer, including the above chip.

[0029] The above technical solution of the present invention has the following beneficial effects compared with the prior art:

[0030] The present invention discloses a high-performance silicon-based adiabatic microring design method and system, which uses double Euler bending to draw half of the outer contour curve of the microring to be designed, and uses an N-order Bezier curve and optimizes the control point coordinates of the N-order Bezier curve according to the principle of minimum transmission loss to draw half of the inner contour curve. The outer contour and inner contour of the microring waveguide designed by this method significantly improve the overall performance of the microring. The optimized microring can maintain extremely low single-mode loss even under conditions of large waveguide width or small bending radius. This design not only fully utilizes the advantages of wide waveguides, such as reducing process error sensitivity, facilitating the integration of heaters and doping to improve heating and doping efficiency, but also reduces the performance degradation caused by rough waveguide sidewalls and process errors. At the same time, the advantages of a small bending radius are brought into play, such as increasing the free spectrum range of the microring to meet diverse application needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below according to specific embodiments of the present invention in conjunction with the accompanying drawings, wherein

[0032] Figure 1 This is a flow chart of a method for designing a high-performance silicon-based thermal insulation microring in a preferred embodiment of the present invention;

[0033] Figure 2 A structural diagram of a micro-ring to be designed in a preferred embodiment of the present invention;

[0034] Figure 3 It is a cross-sectional view of an existing elliptical heat-insulating micro-ring in a preferred embodiment of the present invention;

[0035] Figure 4 This is a flow chart of the algorithm for designing the inner and outer contours of the micro-ring cavity in the preferred embodiment of the present invention;

[0036] Figure 5 Schematic diagram of the synthesis of two identical half microrings into a complete microring in a preferred embodiment of the present invention;

[0037] Figure 6 It is a schematic diagram of the simulation structure in the preferred embodiment of the present invention.

[0038] Explanation of the reference numerals in the specification: 100, micro-ring to be designed; 101, outer contour; 102, inner contour; 103, upper bus waveguide; 104, lower bus waveguide. DETAILED DESCRIPTION

[0039] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0040] Embodiment 1

[0041] Reference Figure 1 As shown, the present invention provides a high-performance silicon-based adiabatic microring design method, comprising:

[0042] S101, according to the free spectrum range of the microring 100 to be designed, using double Euler bending to draw a half outer contour curve of the microring 100 to be designed; using an N-order Bezier curve and optimizing the control point coordinates of the N-order Bezier curve according to the principle of minimum transmission loss, draw a half inner contour curve of the microring 100 to be designed; wherein N is a positive integer greater than 1; the transmission loss is the transmission loss of the 0th order mode of the transverse electric field of half of the microring (the 0th order mode of the transverse electric field can be referred to as TE0 mode);

[0043] S102, obtaining a half optimized micro-ring according to the half outer contour curve and the half inner contour curve;

[0044] S103, splicing the two half optimized microrings into a complete microring.

[0045] A high-performance silicon-based adiabatic microring design method provided by an embodiment of the present invention uses double Euler bending to draw half of the outer contour curve of the microring 100 to be designed, uses an N-order Bezier curve and optimizes the control point coordinates of the N-order Bezier curve according to the principle of minimum transmission loss to draw half of the inner contour curve. The outer contour 101 and inner contour 102 of the microring waveguide designed by this method significantly improve the overall performance of the microring. The optimized microring can maintain extremely low single-mode loss even under the conditions of large waveguide width or small bending radius. This design makes full use of the benefits of wide waveguides, such as reducing the impact of process errors, facilitating the integration of heaters and doping to improve heating and doping efficiency, and at the same time plays the advantages of a small bending radius, such as increasing the free spectrum range (FSR) of the microring to meet diverse application requirements. These improvements have enabled the adiabatic microring to achieve a qualitative leap in performance, providing more efficient and reliable solutions for fields such as optical communications and optical information processing.

[0046] Specifically, the overall structure of the micro-ring 100 to be designed in the embodiment of the present invention is as follows: Figure 2 The overall structure includes two upper and lower bus waveguides and a microring cavity. The upper bus waveguide 103 is responsible for effectively coupling the input optical signal into the microring, and the optical signal that meets the microring resonance condition will be further coupled to the lower bus waveguide 104 and finally output from the output port.

[0047] Furthermore, in the microring cavity design, the existing silicon-based adiabatic microring design adopts an elliptical waveguide structure. Figure 3, a three-dimensional model of an elliptical adiabatic coupler and its cross-sectional view along the Z axis, wherein the waveguide constituting the microring, both at its outer edge and inner edge, follows the standard mathematical equation of an ellipse. However, the existing design process has not yet specifically optimized the inner and outer contours of the adiabatic microring waveguide, and only stays at the use of basic geometric forms. This limitation will significantly aggravate the mode loss problem when pursuing higher performance (for example, a curved waveguide that needs to be widened to accommodate a wider range of process errors, or a curved radius that needs to be reduced to obtain a larger free spectral range). The current design optimization focus of silicon-based microrings is mainly on improving their free spectral range, enhancing the extinction ratio, and improving the thermal tuning mechanism, while the optimization of the waveguide profile has become a key challenge that needs to be solved urgently. In view of this, the embodiment of the present invention innovatively adopts a double Euler bend to design the outer contour 101 of the microring, and uses a high-order Bezier curve to design the inner contour 102 of the microring, so as to design an adiabatic microring that supports multi-mode transmission.

[0048] In addition, reverse design has greatly promoted the large-scale integration of silicon photonic devices because it can realize the design automation of silicon photonic components, thus gaining increasingly wide applications in the field of silicon photonic design. As the opposite of the concept of forward design, reverse design usually starts with the product prototype or existing product generated by forward design, and iterates more ideal results by directly modifying, testing and analyzing the problematic model, and finally uses the corrected model or sample to derive the final design model through scanning, modeling and other processes. This method has opened up a new path for the innovative design of silicon-based optoelectronic devices, making new micro-nano devices with ultra-small size, excellent performance and multi-function possible. In China, many outstanding teams are actively engaged in the field of reverse design and automated design of silicon photonics. For example, the team of Shanghai Jiaotong University has made remarkable achievements in the design of ring-core OAM fiber and the optimization of weak coupling of few-mode fiber by using particle swarm algorithm, search algorithm combined with neural network and other means. Despite this, the current application focus of reverse design in the field of silicon photonics is still mainly on key components such as couplers, power beam splitters, mode multiplexers / demultiplexers and silicon substrate anti-reflection coating systems. However, the embodiment of the present invention innovatively uses the inverse design method to optimize the Bezier curve control equation, and the method can also be used to implement the inverse design process of the outer contour curve.

[0049] Specifically, the embodiment of the present invention proposes an algorithm for designing the outer contour 101 of the microring using double Euler bending, and designing the inner contour 102 of the microring using an N-order Bessel curve. The shape of the N-order Bessel curve is determined by the coordinates of the control points in the high-order Bessel equation. The control parameters of the N-order Bessel equation are designed by an optimization algorithm to change the shape of the designed microring inner contour 102, so that the optical power of the TE0 mode of the output port is maximized, which corresponds to the minimum mode loss. Figure 4The specific steps of the algorithm are:

[0050] Step 1: In the initial stage, that is, before step S101, a series of parameters are initialized and set according to the selected optimization strategy, which includes determining the relevant parameters of the double Euler bending and initializing the coordinates of the Bessel control points.

[0051] Step 2: Enter the curve drawing phase, that is, in step S101, draw the double Euler curve according to the Euler equation and the double Euler curve parameters set during initialization, so as to obtain the precise coordinates of each point on the double Euler curve. At the same time, using the corresponding Bezier control points in the current iteration, substitute the control point coordinates into the Bezier control equation to obtain the coordinates of each point on the N-order Bezier curve.

[0052] Step 3: Simulate and analyze the structure. In the simulation software, combine the point coordinates obtained from the curve drawing in step 2 into a half micro-ring structure, and simulate it to calculate the single-mode loss of the structure under the current algorithm cycle, and feed this result back to the algorithm.

[0053] Step 4: In the Bessel parameter modification phase, the Bessel parameters are modified according to the preset rules for the next iteration. When the entire algorithm cycle is completed, an optimized half micro-ring structure is finally obtained.

[0054] The embodiment of the present invention focuses on the optimization of the half microring structure. Through simulation analysis, it can be ensured that the designed half microring exhibits excellent single-mode loss characteristics. Among them, the simulation analysis allows the precise control of the size, shape and other parameters of the microring to achieve the best single-mode loss characteristics. Based on the principle of symmetry, two identical, designed 180-degree bending structures are spliced ​​to construct a complete microring, which can be referred to Figure 5 ,in Figure 5 The input and output are both single-mode waveguides. This approach achieves design simplicity and consistent performance.

[0055] In order to better illustrate and understand the embodiments of the present invention, a specific example is provided below for detailed description.

[0056] Example: On a standard silicon-on-insulator (SOI) platform, the structural features of the adiabatic microring to be designed include: a 220-nanometer-thick top silicon layer, a 2-micron-thick buried oxide layer, and a top silicon dioxide cladding layer. The microring is designed to operate at a wavelength close to 1310 nanometers, with a waveguide width that tapers from 0.4 microns at its narrowest point to 2.5 microns at its widest point, and has a free spectral range of about 10 nanometers. The specific design steps are as follows:

[0057] Step 1: Determine the parameters related to the dual Euler bending and initialize the coordinates of the Bessel control points.

[0058] Step 2: According to the specific value of the free spectrum range, the double Euler bending method is used to draw the outer contour curve of the adiabatic microring, where the construction of the double Euler bending follows the Euler equation, which is expressed as:

[0059]

[0060] Among them, x(s) is the coordinate of the curve on the X axis, y(s) is the coordinate of the curve on the Y axis, s is the normalized length, R 0 is a freely chosen radius and t is the sampling sequence.

[0061] Select the 5th order Bezier curve (that is, when N is 5) to draw the half inner contour curve of the adiabatic microring. In the 5th order Bezier curve, there are a total of six control points, and the expression of the control point coordinates is:

[0062]

[0063] Among them, P 1 ,P 2 ,P 3 ,P 4 P 5 ,P 6 are different control point coordinates, w 1 and w 2 are the waveguide widths of the different half-microring start and end points, b i is the i-th scale parameter, which is used for the subsequent optimization of the coordinates of different control points, i∈{1,2,3,4}, r 1 and r 2 They are different inner contour dimensions in the x and y directions respectively.

[0064] Step 3: Based on the principle of minimum transmission loss of the 0th-order mode of the transverse electric field of half a microring, the ant colony algorithm is used to optimize the coordinates of the control points of the 5th-order Bezier curve. The ant colony algorithm is:

[0065] S201, each ant randomly initializes the coordinates of the Bezier control point;

[0066] S202, importing the coordinates of the ant corresponding curve into the software, and calculating the transmission loss value of the 0th order mode of the transverse electric field of half of the microring;

[0067] S203, calculating the transfer probability according to the transmission loss value to determine the search mode;

[0068] S204, returning to step S202, until the specified number of iterations is reached, and obtaining the coordinates of the control points of the Bezier curve of the ant with the largest pheromone.

[0069] In step S201, the initialization includes initializing the ant colony algorithm. In step S202, the selected software is simulation software, and the simulation structure established in the software can refer to Figure 6 When selecting such software, the modeling accuracy and efficiency, the accuracy of simulation calculations, and the comprehensiveness of the post-processing functions of the results should be considered comprehensively. Optional simulation software include Matlab, HFSS, and CST Microwave Studio. It should be noted that different simulation platforms may differ in data import format, model building process, and parameter setting details. Therefore, in the actual operation process, users need to flexibly adjust the specific work steps according to the characteristics of the selected software.

[0070] In step S203, the transition probability is used to determine the direction of movement of the ant during the search process, and is an important basis for choosing local search or global search. When the transition probability is greater than a preset transition probability constant (usually an empirical value or a threshold set according to the specific problem), it indicates that the current ant may be close to the area where the optimal solution is located, so the algorithm will tend to let this ant perform a local search. Local search usually means a small-scale fine search near the current solution in order to find a better solution. When the transition probability is less than the transition probability constant, it means that the current ant may be far away from the optimal solution and needs to expand the search range to explore more potential solution spaces. At this time, the algorithm will tend to let this ant perform a global search. Global search usually means an extensive search in the entire solution space in order to find a new and better solution area. The determination of the search method includes:

[0071] Initialization phase: In the initialization phase of the ant colony algorithm, a series of parameters will be set, including the number of ants, pheromone volatility coefficient, transition probability constant, etc. The setting of these parameters will directly affect the balance between local search and global search in the subsequent search process.

[0072] Calculation of transition probability: In each iteration, the transition probability of each ant to move to an adjacent position is calculated based on the pheromone concentration at the current ant's location and other heuristic information (such as distance, direction, etc.). This probability is usually proportional to the pheromone concentration and inversely proportional to the heuristic information (such as distance).

[0073] Selection of search method: By comparing the calculated transition probability with the preset transition probability constant, the current ant is determined whether to conduct local search or global search. This decision-making process is carried out dynamically in each iteration, so the search strategy can be flexibly adjusted according to the progress of the search process.

[0074] Pheromone update: After each iteration, the pheromone concentration on the path is updated according to the quality of the solution found by the ants (such as the objective function value). The pheromone concentration on the path corresponding to the higher quality solution will increase, thereby attracting more ants to visit these paths in future iterations.

[0075] Step 4: Splice the half insulating microrings optimized from the first to third steps into a complete insulating microring.

[0076] Embodiment 2

[0077] Based on the same inventive concept, this embodiment provides a high-performance silicon-based insulating microring design system, and its principle of solving the problem is similar to the high-performance silicon-based insulating microring design method provided in Example 1, and the repeated parts will not be repeated.

[0078] This embodiment provides a high-performance silicon-based adiabatic microring design system, comprising:

[0079] The micro-ring inner and outer contour drawing module is used to draw a half outer contour curve of the micro-ring 100 to be designed by using double Euler bending according to the free spectrum range of the micro-ring 100 to be designed, and to draw a half inner contour curve of the micro-ring 100 to be designed by using an N-order Bezier curve and optimizing the control point coordinates of the N-order Bezier curve according to the principle of minimum transmission loss; wherein N is a positive integer greater than 1; and the transmission loss is the transmission loss of the 0th order mode of the transverse electric field of half the micro-ring;

[0080] The micro-ring splicing module is used to obtain a half optimized micro-ring according to a half outer contour curve and a half inner contour curve, and splice the two half optimized micro-rings into a complete micro-ring.

[0081] Embodiment 3

[0082] This embodiment provides a chip, including a high-performance silicon-based adiabatic micro-ring design system provided in the second embodiment.

[0083] Embodiment 4

[0084] This embodiment provides a spectrum analyzer, including a chip provided in the third embodiment.

[0085] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0086] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0087] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0089] Obviously, the above embodiments are merely examples for clear explanation and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from these are still within the protection scope of the invention.

Claims

1. A method for designing a high-performance silicon-based thermal insulation microring, characterized in that: include: S101, drawing a half outer contour curve of the microring to be designed by using double Euler bending according to the free spectrum range of the microring to be designed; Using an N-order Bezier curve and optimizing the coordinates of the control points of the N-order Bezier curve according to the principle of minimum transmission loss, a half inner contour curve of the microring to be designed is drawn; wherein N is a positive integer greater than 1; and the transmission loss is the transmission loss of the 0th order mode of the transverse electric field of half the microring; S102, obtaining a half optimized micro-ring according to the half outer contour curve and the half inner contour curve; S103, splicing the two half optimized microrings into a complete microring.

2. A high-performance silicon-based thermal insulation microring design method according to claim 1, characterized in that: Optimizing the coordinates of the control points of the N-order Bezier curve according to the principle of minimum transmission loss includes an ant colony algorithm, which is: S201, each ant randomly initializes the coordinates of the Bezier control point; S202, importing the coordinates of the ant corresponding curve into the software, and calculating the transmission loss value of the 0th order mode of the transverse electric field of half a microring; S203, calculating the transfer probability according to the transmission loss value and determining the search mode; S204, returning to S202 until the specified number of iterations is reached, and obtaining the coordinates of the control points of the Bezier curve of the ant with the largest pheromone.

3. A high performance silicon-based thermal insulation microring design method according to claim 1, characterized in that: The process before S101 includes determining the parameters of the dual Euler bending and initializing the coordinates of the control points.

4. A high performance silicon-based thermal insulation microring design method according to claim 1, characterized in that: The S101 also includes drawing the dual Euler curve according to the Euler equation to obtain the coordinates of each point on the dual Euler curve; substituting the coordinates of the control point into the Bezier control equation to obtain the coordinates of each point on the N-order Bezier curve.

5. A high performance silicon-based thermal insulation microring design method according to claim 4, characterized in that: The Euler equation is: Among them, x(s) is the coordinate of the curve on the X axis, y(s) is the coordinate of the curve on the Y axis, s is the normalized length, R0 is the freely selected radius, and t is the sampling sequence.

6. A high performance silicon-based thermal insulation microring design method according to claim 1, characterized in that: When the N-order Bezier curve is a 5-order Bezier curve, the expression of the control point coordinates is: Among them, P1, P2, P3, P4P5, and P6 are different control point coordinates, w1 and w2 are different half-microring start and end point waveguide widths, b i is the i-th scale parameter, i∈{1,2,3,4}, r1 and r2 are the different inner contour dimensions in the x and y directions, respectively.

7. A high performance silicon-based thermal insulation microring design method according to claim 1, characterized in that: The microring to be designed includes upper and lower bus waveguides and a microring cavity.

8. A high-performance silicon-based adiabatic microring design system, characterized in that: include: A micro-ring inner and outer contour drawing module is used to draw a half outer contour curve of the micro-ring to be designed by using double Euler bending according to the free spectrum range of the micro-ring to be designed, and to draw a half inner contour curve of the micro-ring to be designed by using an N-order Bezier curve and optimizing the control point coordinates of the N-order Bezier curve according to the principle of minimum transmission loss; wherein N is a positive integer greater than 1; and the transmission loss is the transmission loss of the 0th order mode of the transverse electric field of half the micro-ring; The micro-ring splicing module is used to obtain a half optimized micro-ring according to the half outer contour curve and the half inner contour curve, and splice the two half optimized micro-rings into a complete micro-ring.

9. A chip, characterized in that: A high-performance silicon-based insulating microring design system is included as described in claim 8.

10. A spectrum analyzer, characterized in that: A chip comprising the chip described in claim 9.

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