Laser frequency stabilization method, device, electronic equipment and storage medium

Abstract

The present application provides a method, device, electronic device and storage medium for laser frequency stabilization. The method includes: obtaining temperature data of a target laser; obtaining a predicted frequency difference based on the temperature data through a frequency difference prediction model obtained through training; the predicted frequency difference is the predicted difference between the first laser frequency of the target laser and the second laser frequency of an ultra-stable light source; obtaining the initial frequency difference between the first laser frequency and the second laser frequency; using the difference between the predicted frequency difference and the initial frequency difference as an adjustment frequency difference; in response to determining that the adjustment frequency difference is within the adjustment range of an acousto-optic frequency shifter, adjusting the laser frequency of the target laser according to the adjustment frequency difference. The method of the present application is combined with machine learning technology to propose a laser frequency stabilization method with a simple multiplexing structure, low cost and strong flexibility.

Description

Technical Field

[0001] The present application relates to the field of laser technology, and in particular to a laser frequency stabilization method, device, electronic device and storage medium. Background Art

[0002] With the widespread application of laser technology in the fields of communication, interferometry, lidar, gravitational wave detection, etc., laser frequency stabilization technology has also emerged. Laser frequency stabilization technology is the product of a high degree of integration of laser physics, spectroscopy and electronics, and aims to provide a more stable frequency source. In related technologies, frequency stabilization is mainly performed by using the spectrum as a reference, or by using the wavelength as a reference. The most commonly used frequency stabilization method is to use PDH (Pound-Drever-Hall) technology for frequency stabilization. However, this method still has the disadvantages of complex multiplexing structure, large amount of hardware, high business costs, and lack of flexibility. Summary of the invention

[0003] In view of this, the purpose of the present application is to provide a laser frequency stabilization method, device, electronic device and storage medium.

[0004] Based on the above purpose, the present application provides a laser frequency stabilization method, comprising:

[0005] Acquire temperature data of target laser;

[0006] According to the temperature data, a frequency difference prediction model obtained through training is used to obtain a predicted frequency difference; the predicted frequency difference is a predicted difference between a first laser frequency of the target laser and a second laser frequency of the ultra-stable light source;

[0007] Acquiring an initial frequency difference between the first laser frequency and the second laser frequency;

[0008] Using the difference between the predicted frequency difference and the initial frequency difference as the adjusted frequency difference;

[0009] In response to determining that the adjustment frequency difference is within the adjustment range of the acousto-optic frequency shifter, the laser frequency of the target laser is adjusted according to the adjustment frequency difference.

[0010] Optionally, in response to determining that the adjustment frequency difference is within the adjustment range of the acousto-optic frequency shifter, adjusting the laser frequency of the target laser according to the adjustment frequency difference includes:

[0011] In response to determining that the adjustment frequency difference is within the adjustment range, determining whether the adjustment frequency difference is greater than zero;

[0012] In response to determining that the adjustment frequency difference is greater than zero, the adjustment frequency difference is used as a down-shift frequency shift amount of the acousto-optic frequency shifter, and the first laser frequency is adjusted to the difference between the frequency of the target laser and the down-shift frequency shift amount by the acousto-optic frequency shifter.

[0013] Optionally, the method further includes:

[0014] In response to determining that the adjustment frequency difference is less than zero, the adjustment frequency difference is used as an up-shift frequency shift amount of the acousto-optic frequency shifter, and the first laser frequency is adjusted to the sum of the frequency of the target laser and the down-shift frequency shift amount by the acousto-optic frequency shifter.

[0015] Optionally, the method further includes:

[0016] In response to determining that the predicted frequency difference is not within the adjustment range, adjusting the laser frequency of the target laser is terminated.

[0017] Optionally, obtaining an initial frequency difference between the first laser frequency and the second laser frequency includes:

[0018] Acquire an initial first laser frequency of the target laser and an initial second laser frequency of the ultra-stable light source;

[0019] The initial first laser frequency and the initial second laser frequency are used as an initial frequency difference between the first laser frequency and the second laser frequency.

[0020] Optionally, the training process of the frequency difference prediction model includes:

[0021] Acquire the first laser frequency, temperature data corresponding to the first laser frequency, and the second laser frequency;

[0022] Taking the difference between any of the first laser frequency and the second laser frequency as the frequency difference corresponding to the first laser frequency;

[0023] Determining a plurality of data sets based on the temperature data;

[0024] Constructing a training set according to the data set and the frequency difference;

[0025] According to the training set, a predicted frequency difference result is obtained through a frequency difference prediction model.

[0026] Optionally, the training process of the frequency difference prediction model further includes:

[0027] In response to determining that a difference between the predicted frequency difference result and the frequency difference is less than or equal to a predetermined threshold or converges, determining that the training of the frequency difference prediction model is completed;

[0028] In response to determining that the difference between the predicted frequency difference result and the frequency difference is greater than a predetermined threshold or does not converge, the frequency difference prediction model is retrained.

[0029] Based on the same inventive concept, the present application also provides a laser frequency stabilization device, comprising:

[0030] A first acquisition module is configured to acquire temperature data of a target laser;

[0031] A prediction module is configured to obtain a predicted frequency difference according to the temperature data by using a frequency difference prediction model obtained through training; the predicted frequency difference is a predicted difference between a first laser frequency of the target laser and a second laser frequency of the ultra-stable light source;

[0032] A second acquisition module is configured to acquire an initial frequency difference between the first laser frequency and the second laser frequency;

[0033] A frequency difference calculation module is configured to use the difference between the predicted frequency difference and the initial frequency difference as an adjusted frequency difference;

[0034] The adjustment module is configured to adjust the laser frequency of the target laser according to the adjustment frequency difference in response to determining that the adjustment frequency difference is within the adjustment range of the acousto-optic frequency shifter.

[0035] Based on the same inventive concept, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a laser frequency stabilization method as described in any one of the above items is implemented.

[0036] Based on the same inventive concept, the present application also provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute any of the above-mentioned laser frequency stabilization methods.

[0037] From the above, it can be seen that the laser frequency stabilization method provided by the present application uses machine learning technology to find the relationship between temperature and frequency change that has the greatest impact on the laser frequency, and to obtain a predicted frequency difference based on the temperature. Then, according to the predicted frequency difference, the laser frequency is adjusted by an acousto-optic frequency modulator. The above method provides a simple and effective solution for laser frequency stabilization, which has the advantages of simple multiplexing structure, low cost and strong flexibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the present application or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0039] Figure 1 A schematic diagram of a process flow of a laser frequency stabilization method according to one or more embodiments of the present application;

[0040] Figure 2 A schematic diagram of the structure of a training system for a frequency difference prediction model according to one or more embodiments of the present application;

[0041] Figure 3 This is the experimental diagram of the correlation between the wavelength and temperature of the laser transmitter;

[0042] Figure 4 A schematic diagram of the structure of a laser frequency stabilization device according to one or more embodiments of the present application;

[0043] Figure 5 A schematic diagram of the structure of a laser frequency stabilization system according to one or more embodiments of the present application;

[0044] Figure 6 A schematic diagram of the hardware structure of an electronic device according to one or more embodiments of the present application. DETAILED DESCRIPTION

[0045] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0046] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present application should be the usual meanings understood by people with ordinary skills in the field to which the present application belongs. The "first", "second" and similar words used in the embodiments of the present application do not represent any order, quantity or importance, but are only used to distinguish different components. "Including" or "comprising" and similar words mean that the elements or objects appearing in front of the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0047] As described in the background technology, with the widespread application of laser technology in the fields of communication, interferometry, laser radar, gravitational wave detection, etc., people's demand for lasers with stable frequencies is increasing day by day, and laser frequency stabilization technology has also emerged. The laser frequency stabilization methods in the related technology mainly include: frequency stabilization based on the spectrum, such as saturation absorption frequency stabilization method, laser frequency stabilization method based on spectrum hole burning effect, etc.; frequency stabilization based on wavelength, such as frequency stabilization method for fiber lasers, frequency stabilization method based on microcavity filters, FP resonant cavity (Fabry-Pérot cavity, Fabry-Perot resonant cavity) frequency stabilization method, etc. Among them, using PDH technology for laser frequency stabilization is currently a more commonly used method. The main principle of PDH technology is: generate an error signal, and use the generated error signal to achieve control of the laser frequency. The main content of PDH technology is: first, the target laser output frequency ω passes through the electro-optic modulator to perform radio frequency electro-optical phase modulation on the laser light field. Then the modulated laser signal enters the optical cavity through the polarization beam splitter prism and the quarter-wave plate, resonates with the optical cavity, and reflects the signal to the photodetector. The role of the polarization beam splitter prism and the quarter-wave plate is to allow the cavity reflected light to enter the detector. The phase of the cavity reflected light signal is then demodulated to obtain the frequency detuning information in the reflected light, generate an error signal, and after being processed by a low-pass filter and a proportional integral circuit, it is fed back to the laser's piezoelectric ceramics or other response devices such as an acousto-optic modulator for frequency compensation. Ultimately, ordinary lasers are locked to an ultra-stable optical cavity. However, frequency stabilization using PDH technology still has disadvantages such as complex multiplexing structure, large hardware quantity, high business costs, and lack of flexibility.

[0048] Therefore, the present application proposes a method for laser frequency stabilization. In the process of implementing the present application, the applicant found that the main factor affecting the laser frequency fluctuation is the temperature change of the environment in which the laser is located. Therefore, the applicant combines machine learning technology and grasps the relationship between the frequency change value and the temperature through a neural network model, that is, predicts the frequency change of the laser according to the temperature of the laser and adjusts the frequency accordingly. The above method can simply and effectively achieve laser frequency stabilization, and the method also has the advantages of simple multiplexing structure, low cost, and high flexibility.

[0049] The technical solutions of one or more embodiments of the present application are described in detail below through specific examples.

[0050] refer to Figure 1 The laser frequency stabilization method of one or more embodiments of the present application comprises the following steps:

[0051] Step S101: Acquire temperature data of a target laser.

[0052] In this step, the temperature data of the target laser is first obtained. In some embodiments, the temperature data can be collected by a high-precision temperature collection module. In some embodiments, the temperature of the environment in which the target laser is located can be collected. The temperature data will be mainly used to predict the frequency difference at the same time when the temperature data is collected.

[0053] Step S102: obtaining a predicted frequency difference according to the temperature data through a frequency difference prediction model obtained through training; the predicted frequency difference is the predicted difference between the first laser frequency of the target laser and the second laser frequency of the ultra-stable light source.

[0054] In this step, the predicted frequency difference is obtained according to the temperature data through the frequency difference prediction model obtained by the above training. In the process of implementing this application, the inventor found that the laser frequency change of the laser is mainly related to the temperature. Therefore, the inventor determines the relationship between the laser frequency and the temperature through neural network model training, obtains the predicted frequency difference according to the temperature data, and then adjusts the frequency through the acousto-optic frequency shifter according to the prediction. In some embodiments, the frequency difference prediction model can be obtained by training the transformer neural network. The advantage of the parallel training speed of the transformer neural network is fast, and the problem of long-distance dependence is solved. At the same time, the data preprocessing part of the transformer neural network, such as PositionalEncoding, adds relative position information to make the prediction time-series; the self-attention mechanism is introduced, which can more easily learn global information. Through the above frequency difference prediction model, a large number of target lasers can be stabilized at the same time. Therefore, by combining machine learning technology, the present application can solve the problem that the reference source is always needed during the frequency stabilization process of the traditional method, and a reference source can only be connected to a limited number of target lasers at the same time. At the same time, because the above frequency difference prediction model can be used for different lasers to train different frequency difference prediction models using the same ultra-stable light source, and the model can be stored for later use. In summary, the method proposed in this application has the advantages of strong flexibility, less hardware equipment, low cost, and scalability.

[0055] In some embodiments, the frequency difference prediction model is trained by the following method. First, according to the laser wavelength of the target laser, an ultra-stable light source with the same wavelength and stabilized by PDH technology is selected. Since the laser frequency emitted by the ultra-stable light source stabilized by PDH technology is relatively stable, the laser wavelength of the ultra-stable light source can be used as a reference frequency. Then, the laser frequency of the target laser at multiple moments and the laser frequency and temperature of the ultra-stable light source collected at the same moment are collected. In some embodiments, the laser frequencies of the target laser and the ultra-stable light source can be collected by a frequency counter, and the temperature can be collected by a high-precision temperature acquisition module arranged outside the target laser. Finally, the frequency difference data of the difference between the laser frequency of the target laser and the laser frequency of the ultra-stable light source is used as a data set, and the corresponding temperature data is used as a result set to form a training set to train the neural network model. The training purpose is to input the temperature data into the frequency difference prediction model obtained by training, and then obtain the output predicted frequency difference.

[0056] like Figure 2 As shown, in some embodiments, the training system of the frequency difference prediction model includes: a target laser, an ultra-stable light source, a fiber coupler, a photodetector, a frequency counter, a high-precision temperature acquisition module and a computing center. During the training process, the signals emitted by the target laser and the ultra-stable light source are first attenuated to the same power through an optical attenuator and then input into the photodetector through a fiber coupler with a splitting ratio of 50:50. The frequency signal obtained by the photodetector is the frequency difference signal between the signals of the target laser and the ultra-stable light source. Then, while the photodetector inputs the frequency difference signal into the frequency counter through the radio frequency line for frequency detection, the temperature is collected by a high-precision temperature acquisition module arranged outside the target laser. Both the frequency counter and the high-precision temperature acquisition module are connected to the computing center. The computing center can associate the frequency difference data with the temperature data as a data pair through an embedded program, and input a data set composed of several of the data pairs into the transformer model for training. In response to determining that the difference between the predicted frequency difference output by the transformer model and the actual frequency difference is less than a predetermined threshold or converged, it is determined that the transformer model is successfully trained and can be used as a frequency difference prediction model.

[0057] Figure 3 This is an experiment on the correlation between the wavelength and temperature of the laser emitter. In the experiment, the wavelength and temperature variation trends of the target laser are measured and calculated. First, the temperature of the target laser is used as the independent variable. The temperature data of the target laser is obtained using a high-precision temperature acquisition module, and the temperature variation range of the target laser is determined to be -10 degrees Celsius to 50 degrees Celsius. Then, the wavelength meter is used to measure the emission wavelength of the target laser at different temperatures. Figure 3 It can be seen that the temperature variation curve is very close to the emission wavelength variation curve, from which it can be seen that the wavelength of the emitted laser is highly positively correlated with the temperature.

[0058] During operation, the predicted frequency difference can be obtained based on the obtained temperature data through the frequency difference prediction model obtained through the above training. In some embodiments, the temperature data can be collected by the above high-precision temperature acquisition module and the predicted frequency difference value can be calculated by the above frequency difference prediction model. Then, the above predicted frequency difference is used as the adjustment frequency difference to adjust the laser frequency of the above target laser through the acousto-optic frequency shifter.

[0059] Step S103: obtaining an initial frequency difference between the first laser frequency and the second laser frequency.

[0060] Since the target laser and the ultra-stable light source have some initial frequency difference in most cases, and in actual situations, it is necessary to lock this initial frequency difference, that is, the adjustment target of the target laser is to maintain this initial frequency difference between the target laser and the laser emitted by the ultra-stable light source through the above-mentioned frequency difference prediction model and the acousto-optic frequency shifter. Therefore, in these embodiments, the frequency difference between the target laser and the ultra-stable light source is first measured. Step S104: The difference between the predicted frequency difference and the initial frequency difference is used as the adjustment frequency difference.

[0061] The temperature data can be collected by the high-precision temperature acquisition module and the predicted frequency difference value can be calculated by the frequency difference prediction model. According to the initial frequency difference calculated in step S103, the difference between the predicted frequency difference and the initial frequency difference is used as the adjustment frequency difference, and the laser frequency of the target laser is adjusted by the acousto-optic frequency shifter.

[0062] Step S105: In response to determining that the adjustment frequency difference is within the adjustment range of the acousto-optic frequency shifter, adjusting the laser frequency of the target laser according to the adjustment frequency difference.

[0063] In this step, since the frequency shift amount of the acousto-optic frequency modulator is only within a certain range, it is first necessary to determine whether the adjustment frequency difference obtained in step S104 is within the frequency adjustment range of the acousto-optic frequency shifter. In response to determining that the adjustment frequency difference is not within the adjustment range, the frequency adjustment is ended. In some embodiments, in response to determining that the adjustment frequency difference is within the adjustment range, it is determined whether the adjustment frequency difference is greater than zero. In response to determining that the adjustment frequency difference is greater than zero, the adjustment frequency difference is used as the down-shift frequency shift amount of the acousto-optic frequency shifter, and the first laser frequency is adjusted to the difference between the frequency of the target laser and the down-shift frequency shift amount through the acousto-optic frequency shifter. In response to determining that the adjustment frequency difference is less than zero, the adjustment frequency difference is used as the up-shift frequency shift amount of the acousto-optic frequency shifter, and the first laser frequency is adjusted to the sum of the frequency of the target laser and the down-shift frequency shift amount through the acousto-optic frequency shifter.

[0064] It should be noted that the method of the embodiment of the present application can be performed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present application, and the multiple devices will interact with each other to complete the described method.

[0065] It should be noted that the above describes some embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0066] Based on the same inventive concept, the present application also provides a laser frequency stabilization device. Figure 4 , the above-mentioned laser frequency stabilization device comprises:

[0067] A first acquisition module 11 is configured to acquire temperature data of a target laser;

[0068] The prediction module 12 is configured to obtain a predicted frequency difference according to the temperature data by using a frequency difference prediction model obtained through training; the predicted frequency difference is a predicted difference between the first laser frequency of the target laser and the second laser frequency of the ultra-stable light source;

[0069] A second acquisition module 13 is configured to acquire an initial frequency difference between the first laser frequency and the second laser frequency;

[0070] The frequency difference calculation module 14 is configured to use the difference between the predicted frequency difference and the initial frequency difference as the adjusted frequency difference;

[0071] The adjustment module 15 is configured to adjust the laser frequency of the target laser according to the adjustment frequency difference in response to determining that the adjustment frequency difference is within the adjustment range of the acousto-optic frequency shifter.

[0072] In some embodiments, the above laser frequency stabilization method can be applied to Figure 5 In the laser frequency stabilization system shown, the system includes: a target laser, an acousto-optic frequency shifter, a wavelength meter, a high-precision temperature acquisition module and a computing center. First, the signals emitted by the target laser and the ultra-stable light source are respectively attenuated to the same power through an optical attenuator and then input into the photodetector through a fiber coupler with a splitting ratio of 50:50. The signal of the frequency signal obtained by the photodetector is the frequency difference signal of the signal of the target laser and the ultra-stable light source. The initial frequency difference between the target laser and the ultra-stable light source can be determined by a frequency counter according to the frequency difference signal. Through the above steps, on the one hand, a preliminary judgment can be made on the frequency difference range, and on the other hand, some embodiments can lock the frequency difference according to the initial frequency difference, and the frequency stability of the target laser can be maintained above the initial frequency difference. In some embodiments, the ultra-stable light source can be used only when the initial frequency difference is measured. Then, the real-time temperature is obtained by a high-precision temperature acquisition module arranged outside the target laser, and the temperature data is input into the program of the computing center as an input value. The program calculates the predicted frequency difference at the current moment through the frequency difference prediction model. In some embodiments, the predicted frequency difference can be used as the adjustment frequency difference; in other embodiments, the difference between the predicted frequency difference and the initial frequency difference can be used as the adjustment frequency difference. Finally, the frequency adjustment is performed by the acousto-optic frequency shifter. During the adjustment process, it is determined whether the adjustment frequency difference is within the frequency adjustment range of the acousto-optic frequency shifter. In response to determining that the adjustment frequency difference is not within the adjustment range, the frequency adjustment is ended. In some embodiments, in response to determining that the adjustment frequency difference is within the adjustment range, it is determined whether the adjustment frequency difference is greater than zero. In response to determining that the adjustment frequency difference is greater than zero, the adjustment frequency difference is used as the down-shift frequency shift amount of the acousto-optic frequency shifter, and the first laser frequency is adjusted to the difference between the frequency of the target laser and the down-shift frequency shift amount through the acousto-optic frequency shifter. In response to determining that the adjustment frequency difference is less than zero, the adjustment frequency difference is used as the up-shift frequency shift amount of the acousto-optic frequency shifter, and the first laser frequency is adjusted to the sum of the frequency of the target laser and the down-shift frequency shift amount through the acousto-optic frequency shifter.

[0073] For the convenience of description, the above device is described in terms of functions divided into various modules. Of course, when implementing the present application, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0074] The device of the above embodiment is used to implement the corresponding laser frequency stabilization method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0075] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the laser frequency stabilization method described in any of the above embodiments is implemented.

[0076] Figure 6 A more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other through the bus 1050 in the device.

[0077] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0078] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0079] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0080] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0081] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0082] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiments of the present specification, and does not necessarily include all the components shown in the figure.

[0083] The electronic device of the above embodiment is used to implement the corresponding laser frequency stabilization method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0084] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the laser frequency stabilization method described in any of the above embodiments.

[0085] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0086] The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the laser frequency stabilization method described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0087] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present application (including the claims) is limited to these examples. In line with the concept of the present application, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of simplicity.

[0088] In addition, to simplify the description and discussion, and in order not to make the embodiments of the present application difficult to understand, the known power supply / ground connection with the integrated circuit (IC) chip and other components may or may not be shown in the provided drawings. In addition, the device can be shown in the form of a block diagram to avoid making the embodiments of the present application difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform to be implemented in the embodiments of the present application (that is, these details should be fully within the scope of understanding of those skilled in the art). In the case of elaborating specific details (e.g., circuits) to describe exemplary embodiments of the present application, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details or when these specific details are changed. Therefore, these descriptions should be considered to be illustrative rather than restrictive.

[0089] Although the present application has been described in conjunction with specific embodiments of the present application, many replacements, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0090] The embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present application should be included in the scope of protection of the present application.

Claims

1. A laser frequency stabilization method, characterized in that: include: Acquire temperature data of the target laser; According to the temperature data, a frequency difference prediction model obtained through training is used to obtain a predicted frequency difference; the predicted frequency difference is a predicted difference between a first laser frequency of the target laser and a second laser frequency of the ultra-stable light source; Acquiring an initial frequency difference between the first laser frequency and the second laser frequency; Using the difference between the predicted frequency difference and the initial frequency difference as the adjusted frequency difference; In response to determining that the adjustment frequency difference is within the adjustment range of the acousto-optic frequency shifter, the laser frequency of the target laser is adjusted according to the adjustment frequency difference.

2. The laser frequency stabilization method according to claim 1, characterized in that: In response to determining that the adjustment frequency difference is within the adjustment range of the acousto-optic frequency shifter, adjusting the laser frequency of the target laser according to the adjustment frequency difference includes: In response to determining that the adjustment frequency difference is within the adjustment range, determining whether the adjustment frequency difference is greater than zero; In response to determining that the adjustment frequency difference is greater than zero, the adjustment frequency difference is used as a down-shift frequency shift amount of the acousto-optic frequency shifter, and the first laser frequency is adjusted to the difference between the frequency of the target laser and the down-shift frequency shift amount by the acousto-optic frequency shifter.

3. The laser frequency stabilization method according to claim 2, characterized in that: The method further comprises: In response to determining that the adjustment frequency difference is less than zero, the adjustment frequency difference is used as an up-shift frequency shift amount of the acousto-optic frequency shifter, and the first laser frequency is adjusted to the sum of the frequency of the target laser and the down-shift frequency shift amount by the acousto-optic frequency shifter.

4. The laser frequency stabilization method according to claim 1, characterized in that: The method further comprises: In response to determining that the predicted frequency difference is not within the adjustment range, adjusting the laser frequency of the target laser is terminated.

5. The laser frequency stabilization method according to claim 1, characterized in that: The obtaining of an initial frequency difference between the first laser frequency and the second laser frequency includes: Acquire an initial first laser frequency of the target laser and an initial second laser frequency of the ultra-stable light source; The initial first laser frequency and the initial second laser frequency are used as an initial frequency difference between the first laser frequency and the second laser frequency.

6. The laser frequency stabilization method according to claim 1, characterized in that: The training process of the frequency difference prediction model includes: Acquire the first laser frequency, temperature data corresponding to the first laser frequency, and the second laser frequency; Taking the difference between any of the first laser frequency and the second laser frequency as the frequency difference corresponding to the first laser frequency; Determining a plurality of data sets based on the temperature data; Constructing a training set according to the data set and the frequency difference; According to the training set, a predicted frequency difference result is obtained through a frequency difference prediction model.

7. The laser frequency stabilization method according to claim 6, characterized in that: The training process of the frequency difference prediction model also includes: In response to determining that a difference between the predicted frequency difference result and the frequency difference is less than or equal to a predetermined threshold or converges, determining that the training of the frequency difference prediction model is completed; In response to determining that the difference between the predicted frequency difference result and the frequency difference is greater than a predetermined threshold or does not converge, the frequency difference prediction model is retrained.

8. A laser frequency stabilization device, characterized in that: include: A first acquisition module is configured to acquire temperature data of a target laser; A prediction module is configured to obtain a predicted frequency difference according to the temperature data by using a frequency difference prediction model obtained through training; the predicted frequency difference is a predicted difference between a first laser frequency of the target laser and a second laser frequency of the ultra-stable light source; A second acquisition module is configured to acquire an initial frequency difference between the first laser frequency and the second laser frequency; A frequency difference calculation module is configured to use the difference between the predicted frequency difference and the initial frequency difference as an adjusted frequency difference; The adjustment module is configured to adjust the laser frequency of the target laser according to the adjustment frequency difference in response to determining that the adjustment frequency difference is within the adjustment range of the acousto-optic frequency shifter.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 7.

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