Measurement and control experiment result data processing method and device and quantum computer

Abstract

The invention discloses a processing method and device for measurement and control experiment result data and a quantum computer, and the method comprises the steps: dividing the experiment result data into data sets with different sampling frequencies, carrying out the fitting processing of each data set, and analyzing whether the period meets the requirements or not. After the data set meeting the requirement is obtained, only the data of the data set needs to be analyzed, analysis of all experimental result data is not needed, by means of the scheme, the data size needing sampling analysis can be effectively reduced, the analysis efficiency of the experimental data is effectively improved, and the analysis efficiency of the experimental data is improved. And the execution efficiency of the quantum computer is improved to a certain extent.

Description

Technical Field

[0001] The present invention relates to the technical field of quantum computing, and in particular, to a method and device for processing measurement and control experiment result data, and a quantum computer. Background Art

[0002] Quantum computing and quantum information is an interdisciplinary subject that realizes computing and information processing tasks based on the principles of quantum mechanics, and has very close connections with disciplines such as quantum physics, computer science, and informatics. It has developed rapidly in the past two decades. Quantum algorithms based on quantum computers in scenarios such as factorization and unstructured search have shown performances far exceeding those of existing algorithms based on classical computers, and this direction is also expected to exceed the existing computing capabilities. Due to the great potential of quantum computing in solving specific problems far beyond the performance of classical computers, in order to implement a quantum computer, a quantum chip containing a sufficient number and sufficient quality of qubits needs to be obtained, and extremely high-fidelity quantum logic gate operations and readings of qubits can be performed.

[0003] The quantum chip is to the quantum computer what the CPU is to the traditional computer. The quantum chip is the core component of the quantum computer. With the continuous research and advancement of quantum computing related technologies, the number of qubits on the quantum chip has been increasing year by year. It can be foreseen that larger-scale quantum chips will appear in the future. At that time, the number of qubits in the quantum chip will be more, and larger-scale quantum chips will also be installed in quantum computers. When we test or actually apply the quantum chip, corresponding measurement and control experiments need to be performed on the quantum chip, such as Ramsey experiment, Rabi experiment, etc. In the prior art, every time a measurement and control experiment is carried out, researchers need to participate in the processing of the experimental result data of the measurement and control experiment, resulting in low efficiency.

[0004] Therefore, a solution that can improve the execution efficiency of the quantum computer needs to be proposed.

[0005] It should be noted that the information disclosed in the background art data set of the present application is only intended to deepen the understanding of the general background art of the present application, and should not be regarded as an admission or any form of suggestion that this information constitutes the prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of the present invention is to provide a method and device for processing measurement and control experiment result data, and a quantum computer, which are used to solve the problem of low processing efficiency of the experimental result data of the measurement and control experiment in the prior art.

[0007] To solve the above technical problems, the present invention proposes a method for processing measurement and control experiment result data, including:

[0008] The experimental result data of the measurement and control experiment are divided into several data sets according to time sequence. Among them, the sampling frequencies of the data in different data sets are different, and the sampling frequencies of the data within the same data set are the same;

[0009] According to the time sequence of each data set, the data of each data set are sequentially subjected to fitting processing, and the period sizes corresponding to the data of each data set are sequentially obtained based on the fitting processing results;

[0010] When the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, the experimental results of the measurement and control experiment are analyzed based on the data of the first data set, where the first data set is one of the several data sets.

[0011] Optionally, when the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, the method further includes:

[0012] Obtain the error magnitude of the data of the first data set. When the error of the first data set exceeds the preset range, delete the data of the first data set from the experimental results of the measurement and control experiment, and return to execute the step of sequentially performing fitting processing on the data of each data set according to the time sequence of each data set, and sequentially obtaining the period sizes corresponding to the data within each data set based on the fitting processing results.

[0013] Optionally, the error magnitude of the data of the first data set is obtained by the goodness of fit or the least squares method.

[0014] Optionally, the method further includes:

[0015] When the period obtained by performing fitting processing on the first data set is greater than the total sampling time of the first data set, delete the data of the first data set from the experimental results of the measurement and control experiment, and return to execute the step of sequentially performing fitting processing on the data of each data set according to the time sequence of each data set, and sequentially obtaining the period sizes corresponding to the data within each data set based on the fitting processing results.

[0016] Optionally, the sampling frequencies of the data in each data set are sorted in descending order according to time sequence.

[0017] Optionally, the experimental result data of the measurement and control experiment are divided into three data sets according to time sequence, where the sampling frequencies of the data in the three data sets are sorted in descending order according to time sequence.

[0018] Based on the same inventive concept, the present invention further provides a processing device for experimental result data of a measurement and control experiment, including:

[0019] A data set partitioning module, configured to divide the experimental result data of the measurement and control experiment into several data sets according to time sequence, wherein the sampling frequencies of the data in different data sets are different, and the sampling frequencies of the data within the same data set are the same;

[0020] A fitting and period obtaining module, configured to sequentially perform fitting processing on the data of each data set according to the time sequence of each data set, and sequentially obtain the period sizes corresponding to the data of each data set based on the fitting processing results;

[0021] A data analysis module, configured to analyze the experimental results of the measurement and control experiment based on the data of the first data set when the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, and the first data set is one of the several data sets.

[0022] Based on the same inventive concept, the present invention also provides a quantum computing measurement and control system, which uses the processing method of the measurement and control experiment result data described in any one of the above feature descriptions, or includes the processing device of the measurement and control experiment result data described in the above feature descriptions.

[0023] Based on the same inventive concept, the present invention also provides a quantum computer, including the quantum computing measurement and control system described in the above feature descriptions.

[0024] Based on the same inventive concept, the present invention also provides a readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it can implement the processing method of the measurement and control experiment result data described in any one of the above feature descriptions.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The present invention provides a method for processing measurement and control experiment result data, which divides the experiment result data of the measurement and control experiment into several data sets according to time sequence. According to the time sequence of each data set, the data of each data set is sequentially subjected to fitting processing, and the period size corresponding to the data of each data set is sequentially obtained based on the fitting processing result. When the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, the experiment result of the measurement and control experiment is analyzed based on the data of the first data set, and the first data set is one of the several data sets. By using the solution of the present application, the experiment result data is divided into data sets with different sampling frequencies. By performing fitting processing on each data set and analyzing whether its period meets the requirements, after obtaining a data set that meets the requirements, only the data of this data set needs to be analyzed, without analyzing all the experiment result data. Using the solution of the present application can effectively reduce the amount of data that needs to be sampled and analyzed, effectively improve the analysis efficiency of experimental data, and thus improve the execution efficiency of the quantum computer to a certain extent.

[0027] The processing device for measurement and control experiment result data, the quantum computing measurement and control system, the quantum computer, and the readable storage medium proposed by the present invention belong to the same inventive concept as the method for processing measurement and control experiment result data, and thus have the same beneficial effects, which will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic flowchart of the method for processing measurement and control experiment result data proposed in an embodiment of the present invention;

[0029] Figure 2 It is a schematic diagram after performing fitting processing on the measurement and control experiment result data using the solution of the present application Figure 1 ;

[0030] Figure 3 It is a schematic diagram after performing fitting processing on the measurement and control experiment result data using the solution of the present application Figure 2 ;

[0031] Figure 4 It is a schematic structural diagram of the processing device for measurement and control experiment result data proposed in another embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The following will describe the specific embodiments of the present invention in more detail with reference to the schematic diagrams. According to the following description and the claims, the advantages and features of the present invention will be clearer. It should be noted that the drawings are all in a very simplified form and use non-precise scales, only for the purpose of facilitating and clearly assisting in explaining the objectives of the embodiments of the present invention.

[0033] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present invention.

[0034] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0035] Please refer to Figure 1 , an embodiment of the present invention provides a method for processing measurement and control experiment result data, including:

[0036] S100: Divide the experiment result data of the measurement and control experiment into several data sets according to time sequence, where the sampling frequencies of the data in different data sets are different, and the sampling frequencies of the data within the same data set are the same;

[0037] S200: Sequentially perform fitting processing on the data of each data set according to the time sequence of each data set, and sequentially obtain the period sizes corresponding to the data of each data set based on the fitting processing results;

[0038] S300: When the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, analyze the experiment result of the measurement and control experiment based on the data of the first data set, where the first data set is one of the several data sets.

[0039] Different from the prior art, an embodiment of the present invention provides a method for processing measurement and control experiment result data, which divides the experiment result data of the measurement and control experiment into several data sets according to time sequence. According to the time sequence of each data set, the data of each data set is sequentially subjected to fitting processing, and the period size corresponding to the data of each data set is sequentially obtained based on the fitting processing result. When the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, the experiment result of the measurement and control experiment is analyzed based on the data of the first data set, and the first data set is one of the several data sets. By using the solution of the present application, the experiment result data is divided into data sets with different sampling frequencies, and by performing fitting processing on each data set and analyzing whether its period meets the requirements, after obtaining a data set that meets the requirements, only the data of this data set needs to be analyzed, without analyzing all the experiment result data. Using the solution of the present application can effectively reduce the amount of data that needs to be sampled and analyzed, effectively improve the analysis efficiency of the experiment data, and thus improve the execution efficiency of the quantum computer to a certain extent.

[0040] Those skilled in the art can understand that, in this embodiment, the measurement and control experiment refers to an experiment that uses corresponding control signals (including quantum state control signals, qubit frequency control signals, etc.) applied to qubits to complete corresponding operations. When counting the experiment results of these measurement and control experiments, it is found that the experiment results of many measurement and control experiments show periodic patterns. For example: Ramsey experiment, Rabi_amp experiment for calibrating the amplitude of the π pulse, Rabi_width experiment for determining whether the π pulse can drive the qubit, Rabi_scan_amp experiment for roughly measuring the amplitude of the driving waveform, Qubit_freq_cal experiment for calibrating the qubit frequency using the Ramsey experiment, etc., which will not be elaborated one by one here. When analyzing the experiment result data of such measurement and control experiments, if simply analyzing all the data, it will inevitably lead to very low analysis and processing efficiency. Therefore, by using the solution of the present application, the experiment result data is divided into data sets with different sampling frequencies, and by performing fitting processing on each data set and analyzing whether its period meets the requirements, after obtaining a data set that meets the requirements, only the data of this data set needs to be analyzed, without analyzing all the experiment result data.

[0041] It should be noted that, in this embodiment, the number of data in each data set is not limited and can be selected according to actual needs.

[0042] Specifically, in this embodiment, when the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, the method further includes:

[0043] Obtain the error magnitude of the data in the first data set. When the error in the first data set exceeds a preset range, delete the data in the first data set from the experimental results of the measurement and control experiment, and return to perform the fitting process on the data in each data set in sequence according to the time sequence of each data set, and sequentially obtain the period magnitudes corresponding to the data in each data set based on the fitting result.

[0044] In practical applications, it may occur that although the fitted period is less than or equal to the total sampling time of the first data set, the data in this data set is indeed distorted. For example, Figure 2 For the data set in the dotted circle in [Figure], to solve this problem, this embodiment proposes that when it is determined that the obtained period is less than or equal to the total sampling time of the first data set, it is necessary to perform an error judgment on this part of the data. When it is determined that the error is too large, this part of the data is excluded from the experimental results of the measurement and control experiment. After Figure 2 excluding the data set in the dotted circle in [Figure], then perform a fitting process on the subsequent data sets. The fitting result can be referred to Figure 3 .

[0045] Furthermore, to effectively identify which data has an error, this embodiment proposes to obtain the error magnitude of the data in the first data set through the goodness of fit or the least squares method.

[0046] Those skilled in the art can understand that both the goodness of fit and the least squares method are mathematical optimization techniques. The goodness of fit refers to the degree of fitting of the regression line to the observed values. It mainly uses the coefficient of determination and the regression standard deviation to test the degree of fitting of the model to the sample observed values. When the explanatory variables are multiple, the adjusted goodness of fit needs to be used to solve the influence of the increase in variable elements on the goodness of fit. Assume that a population can be divided into r categories. Now a sample is obtained from this population - this is a batch of categorical data, and we need to start from these categorical data to judge whether the probabilities of the various categories in the population appear are consistent with the known probabilities. For example, to test whether a dice is uniform, then the dice can be tossed several times, record the number of times each side appears, and start from these data to test whether the probabilities of each side appearing are all 1 / 6. The goodness of fit test is used to test whether the distribution of the population from which a batch of categorical data comes is consistent with a certain theoretical distribution. The least squares method is to find the best function match for the data by minimizing the sum of the squares of the errors. Using the least squares method, the unknown data can be simply obtained, and the sum of the squares of the errors between the obtained data and the actual data is minimized. Only a brief introduction is made here and will not be elaborated in detail one by one.

[0047] Specifically, in this embodiment, the method further includes:

[0048] When the period obtained by fitting the first data set is greater than the total sampling time of the first data set, delete the data of the first data set from the experimental results of the measurement and control experiment, and return to execute the step of sequentially fitting the data of each data set according to the time sequence of each data set, and sequentially obtaining the period sizes corresponding to the data in each data set based on the fitting result.

[0049] When the period obtained by fitting a certain data set is greater than the total sampling time of the data set, it means that this part of the data is incomplete, that is, it is not the data of a complete period. Then there are two processing schemes at this time. The first is to retain this part of the data and merge it into the subsequent data set, and then perform fitting processing together. The second is to delete this part of the data and directly perform fitting processing on the next data set. In order to process as little data as possible to improve the efficiency of fitting processing, the embodiment of the present application adopts the second scheme, directly deleting this part of the data, which can be selected according to needs in actual application.

[0050] Specifically, in this embodiment, the sampling frequencies of the data in each data set are sorted in descending order in time sequence.

[0051] Take Figure 2 and Figure 3 as an example. In this embodiment, the experimental result data of the measurement and control experiment is divided into three data sets. According to the time sequence, the sampling interval of the data in the first data set is 2.5 ns, and its sampling frequency is the reciprocal of the sampling interval. The sampling interval of the data in the second data set is 25 ns, and the sampling interval of the data in the third data set is 2500 ns. It should be noted that the sampling frequencies proposed in this embodiment are only examples and do not constitute any restrictive interpretation of the present application. In other embodiments, the sampling frequencies of each data set can also be set to other values, which are not limited here.

[0052] Specifically, in this embodiment, the experimental result data of the measurement and control experiment is divided into three data sets according to the time sequence, and the sampling frequencies of the data in the three data sets are sorted in descending order in time sequence.

[0053] Based on the same inventive concept, please refer to Figure 4 . The present invention also proposes a processing device for the experimental result data of a measurement and control experiment, including:

[0054] A data set division module 100, configured to divide the experimental result data of the measurement and control experiment into several data sets according to the time sequence, where the sampling frequencies of the data in different data sets are different, and the sampling frequencies of the data in the same data set are the same;

[0055] The fitting and period obtaining module 200 is configured to perform fitting processing on the data of each data set in sequence according to the time sequence of each data set, and sequentially obtain the period sizes corresponding to the data of each data set based on the fitting processing results;

[0056] The data analysis module 300 is configured to analyze the experimental results of the measurement and control experiment based on the data of the first data set when the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, and the first data set is one of the several data sets.

[0057] It can be understood that the data set division module 100, the fitting and period obtaining module 200, and the data analysis module 300 can be implemented in one device, or any one of the modules can be split into multiple sub-modules, or at least part of the functions of one or more of the data set division module 100, the fitting and period obtaining module 200, and the data analysis module 300 can be combined with at least part of the functions of other modules and implemented in one functional module. According to an embodiment of the present invention, at least one of the data set division module 100, the fitting and period obtaining module 200, and the data analysis module 300 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on chip, a system on substrate, a system on package, an application specific integrated circuit (ASIC), or can be implemented in any other reasonable way of integrating or packaging circuits and other hardware or firmware, or implemented by an appropriate combination of software, hardware, and firmware. Alternatively, at least one of the data set division module 100, the fitting and period obtaining module 200, and the data analysis module 300 can be at least partially implemented as a computer program module, and when the program is run on a computer, it can execute the functions of the corresponding module.

[0058] Based on the same inventive concept, the present invention also provides a quantum computing measurement and control system, which uses the processing method of the measurement and control experiment result data described in any one of the above feature descriptions, or includes the processing device of the measurement and control experiment result data described in the above feature descriptions.

[0059] Based on the same inventive concept, the present invention also provides a quantum computer, which includes the quantum computing measurement and control system described in the above feature descriptions.

[0060] Based on the same inventive concept, the present invention also provides a readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it can implement the processing method of the measurement and control experiment result data described in any one of the above feature descriptions.

[0061] The readable storage medium can be a tangible device that can hold and store instructions used by the instruction execution device. For example, it can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disc (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punched card or raised structures in grooves storing instructions thereon, and any suitable combination of the above. The computer programs described herein can be downloaded from the readable storage medium to various computing / processing devices, or downloaded to an external computer or external storage device through a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter or network interface in each computing / processing device receives the computer program from the network and forwards the computer program for storage in the readable storage medium in each computing / processing device. The computer program for performing the operations of the present invention can be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages - such as Smalltalk, C++, etc., and conventional procedural programming languages - such as the "C" language or similar programming languages. The computer program can be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., by using an Internet service provider to connect through the Internet). In some embodiments, by using the status information of the computer program to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit can execute computer-readable program instructions to implement various aspects of the present invention.

[0062] Aspects of the present invention are described herein with reference to the flowcharts and / or block diagrams of methods, systems, and computer program products according to embodiments of the present invention. It should be understood that each block of the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts and / or block diagrams, can be implemented by computer programs. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine, such that the programs, when executed by the processor of the computer or other programmable data processing apparatus, generate an apparatus for implementing the functions / actions specified in one or more blocks of the flowcharts and / or block diagrams. These computer programs can also be stored in a readable storage medium, which causes a computer, a programmable data processing apparatus, and / or other devices to operate in a specific manner, so that the readable storage medium storing the computer programs includes a manufacture, which includes instructions for implementing various aspects of the functions / actions specified in one or more blocks of the flowcharts and / or block diagrams.

[0063] The computer programs can also be loaded onto a computer, other programmable data processing apparatus, or other devices, such that a series of operation steps are executed on the computer, other programmable data processing apparatus, or other devices to produce a computer-implemented process, so that the computer programs executed on the computer, other programmable data processing apparatus, or other devices implement the functions / actions specified in one or more blocks of the flowcharts and / or block diagrams.

[0064] In the description of this specification, descriptions with reference to terms such as "one embodiment", "some embodiments", "example", or "specific example" etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification.

[0065] The above are only the preferred embodiments of the present invention and do not impose any limiting effect on the present invention. Any person skilled in the art within the technical field of the present invention, without departing from the scope of the technical solution of the present invention, makes any form of equivalent replacement or modification and other changes to the technical solution and technical content disclosed by the present invention, all of which fall within the content of the technical solution of the present invention and still belong to the protection scope of the present invention.

Claims

1. A method for processing measurement and control experiment result data, characterized in that Including: Dividing the experimental result data of the measurement and control experiment into several data sets according to time series, wherein the sampling frequencies of the data in different data sets are different, and the sampling frequencies of the data within the same data set are the same; Performing fitting processing on the data of each data set in sequence according to the time series of each data set, and sequentially obtaining the period sizes corresponding to the data of each data set based on the fitting processing results; When the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, analyzing the experimental results of the measurement and control experiment based on the data of the first data set, where the first data set is one of the several data sets.

2. The method according to claim 1, characterized in that, When the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, the method further includes: Obtaining the error magnitude of the data of the first data set, and when the error of the first data set exceeds the preset range, deleting the data of the first data set from the experimental results of the measurement and control experiment, and returning to execute performing fitting processing on the data of each data set in sequence according to the time series of each data set, and sequentially obtaining the period sizes corresponding to the data within each data set based on the fitting processing results.

3. The method according to claim 2, characterized in that, Obtaining the error magnitude of the data of the first data set through the goodness of fit or the least squares method.

4. The method according to claim 1, characterized in that, The method further includes: When the period obtained by performing fitting processing on the first data set is greater than the total sampling time of the first data set, deleting the data of the first data set from the experimental results of the measurement and control experiment, and returning to execute performing fitting processing on the data of each data set in sequence according to the time series of each data set, and sequentially obtaining the period sizes corresponding to the data within each data set based on the fitting processing results.

5. The method according to claim 1, wherein The sampling frequencies of the data of each data set are sorted in descending order in time series.

6. The method according to claim 1, wherein Dividing the experimental result data of the measurement and control experiment into three data sets according to time series, wherein the sampling frequencies of the data of the three data sets are sorted in descending order in time series.

7. A processing device for measurement and control experiment result data, characterized in that Including: A data set division module, configured to divide the experimental result data of the measurement and control experiment into several data sets according to time series, wherein the sampling frequencies of the data in different data sets are different, and the sampling frequencies of the data within the same data set are the same; A fitting and period obtaining module, configured to perform fitting processing on the data of each data set in sequence according to the time series of each data set, and sequentially obtain the period sizes corresponding to the data of each data set based on the fitting processing results; A data analysis module, configured to analyze the experimental results of the measurement and control experiment based on the data of the first data set when the period obtained by performing fitting processing on the first data set is less than or equal to the total sampling time of the first data set, where the first data set is one of the several data sets.

8. A quantum computing measurement and control system, characterized in that, Using the processing method of the measurement and control experiment result data as described in any one of claims 1-6, or including the processing device of the measurement and control experiment result data as described in claim 7.

9. A quantum computer, characterized in that, Including the quantum computing measurement and control system as described in claim 8.

10. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it can implement the method for processing measurement and control experiment result data as described in any one of claims 1-6.

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