CN115409188B - Quantum cloud platform quantum device monitoring method and related equipment - Google Patents
Quantum cloud platform quantum device monitoring method and related equipment Download PDFInfo
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Abstract
本申请实施例属于量子云计算领域，涉及一种量子云平台量子设备监控方法，包括获取量子云平台中量子设备的运行参数、设备参数及服务类型；当服务类型为共享服务类型时，获取量子平台中量子设备的负载状态；或，当服务类型为专享服务类型时，通过预测模型预测量子设备中负载状态为预设状态的实验时刻后，当到达实验时刻时，获取量子设备的负载状态；当量子设备的负载状态为预设状态时，根据设备参数确定目标监测实验，并根据运行参数和目标监测实验对量子设备进行监测分析，得到监测分析结果。本申请还提供一种量子云平台量子设备监控的相关设备。本申请有效提升监测效率及监测准确性，使运维人员可准确、及时了解量子设备的状态。
The embodiments of the present application belong to the field of quantum cloud computing, and relate to a method for monitoring quantum devices on a quantum cloud platform, including obtaining the operating parameters, device parameters, and service type of quantum devices in the quantum cloud platform; when the service type is a shared service type, obtaining the load state of the quantum devices in the quantum platform; or, when the service type is an exclusive service type, after predicting the experimental time when the load state in the quantum device is a preset state through a prediction model, when the experimental time is reached, obtaining the load state of the quantum device; when the load state of the quantum device is a preset state, determining the target monitoring experiment according to the device parameters, and monitoring and analyzing the quantum device according to the operating parameters and the target monitoring experiment to obtain the monitoring and analysis results. The present application also provides related equipment for monitoring quantum devices on a quantum cloud platform. The present application effectively improves monitoring efficiency and monitoring accuracy, so that operation and maintenance personnel can accurately and timely understand the status of quantum devices.
Description
Technical Field
The application relates to the technical field of quantum cloud computing, in particular to a quantum cloud platform quantum equipment monitoring method and related equipment thereof.
Background
Quantum devices encode information into qubits, process multiple information in parallel using the superposition properties of the qubits, quantum computing has proven to be significantly accelerated over classical computing in some issues, such as large-scale prime factorization, unordered database searching, etc.
The quantum cloud platform is a platform for providing cloud computing service by utilizing quantum devices, a plurality of quantum devices are connected in the quantum cloud platform, the working state of each quantum device can be changed in the long-time operation process, such as faults, anomalies and the like, the existing processing mode is to monitor each quantum device manually, the monitoring efficiency is low, the monitoring effect is poor, the time of occupying the quantum device by the manual monitoring mode is long, and the task of a user is influenced by the quantum device.
Disclosure of Invention
The embodiment of the application provides a quantum cloud platform quantum equipment monitoring method and related equipment thereof, which are used for solving the problems of low monitoring efficiency and poor monitoring effect in the prior art.
In order to solve the technical problems, the embodiment of the application provides a quantum cloud platform quantum equipment monitoring method, which adopts the following technical scheme:
acquiring operation parameters, equipment parameters and service types of the quantum equipment in the quantum cloud platform;
When the service type is a shared service type, acquiring the load state of the quantum equipment in the quantum platform, or when the service type is a special service type, acquiring the load state of the quantum equipment after the experimental moment when the load state in the quantum equipment is predicted to be a preset state by a prediction model reaches the experimental moment;
And when the load state of the quantum equipment is a preset state, determining a target monitoring experiment according to the equipment parameter, and carrying out monitoring analysis on the quantum equipment according to the operation parameter and the target monitoring experiment to obtain a monitoring analysis result.
Further, the step of determining the target monitoring experiment according to the equipment parameter includes:
extracting the equipment identification and the equipment characteristic information of the quantum equipment from the equipment parameters;
if the equipment identifier is an index identifier, judging whether the operation parameter meets a preset threshold value, and if the operation parameter meets the preset threshold value, determining a target monitoring experiment according to the equipment characteristic information;
And if the equipment identifier is a non-index identifier, determining a target monitoring experiment according to the equipment characteristic information.
Further, when the index mark is a nuclear magnetic mark, judging whether the field locking voltage in the operation parameter meets a preset threshold value, and if the field locking voltage in the operation parameter meets the preset threshold value, determining a target monitoring experiment as a random reference test according to the equipment characteristic information;
And when the non-index mark is a superconducting mark, determining that the target monitoring experiment is a Ramsey experiment and a Ramsey experiment according to the equipment characteristic information.
Further, the step of monitoring and analyzing the quantum device according to the operation parameter and the target monitoring experiment to obtain a monitoring and analyzing result includes:
Determining a first state of the quantum device according to the operating parameter;
If the first state of the quantum equipment does not meet the first set state, determining an abnormal grade according to the first state;
If the first state of the quantum equipment meets the first set state, acquiring a task operation result in a target operation time period, and determining a second state of the quantum equipment according to the task operation result;
If the second state of the quantum equipment does not meet the second set state, determining an abnormal grade according to the second state;
if the second state of the quantum equipment meets a second set state, determining the running state of the quantum equipment according to the experimental result of the target monitoring experiment, and determining an abnormal grade according to the running state of the quantum equipment;
and taking the abnormal grade as the monitoring analysis result.
Further, the step of determining the abnormality level according to the operation state of the quantum device includes:
if the running state of the quantum equipment is an unavailable state, determining that the abnormal grade is a serious grade;
and if the running state of the quantum equipment is an available state, extracting the current fidelity from the task running result, and determining an abnormal grade according to the comparison result of the current fidelity and the preset fidelity.
Further, after the step of obtaining the monitoring analysis result, the method further includes:
and determining an early warning mode according to the abnormal grade, and outputting the abnormal grade and the monitoring analysis result according to the early warning mode.
Further, the step of outputting the abnormality level and the monitoring analysis result according to the early warning mode includes:
When the abnormal grade meets a preset grade, determining a target output time period of early warning according to the load state of the quantum equipment, and outputting the abnormal grade and the monitoring analysis result in the target output time period of early warning.
Further, the step of outputting the abnormality level and the monitoring analysis result according to the early warning mode includes:
and determining early warning response time according to the abnormal grade, and outputting the abnormal grade, the monitoring analysis result and the early warning response time according to the early warning mode.
In order to solve the technical problems, the embodiment of the application also provides a quantum cloud platform quantum equipment monitoring device, which adopts the following technical scheme:
the system comprises a control module, a monitoring module, a data analysis module and an early warning module, wherein the monitoring module, the data analysis module and the early warning module are all connected with the control module;
The monitoring module is used for acquiring the operation parameters, the equipment parameters and the service types of the quantum equipment in the quantum cloud platform;
The data analysis module is used for acquiring the load state of the quantum equipment in the quantum platform when the service type is a shared service type, or acquiring the load state of the quantum equipment when the experimental moment is reached after the load state in the quantum equipment is predicted to be in a preset state by a prediction model when the service type is a special service type;
And the early warning module is used for sending the abnormal grade of the quantum equipment and monitoring and analyzing results to an operation and maintenance personnel end.
In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical schemes:
the quantum cloud platform quantum device monitoring method comprises a memory and a processor, wherein a computer program is stored in the memory, and the processor realizes the steps of the quantum cloud platform quantum device monitoring method when executing the computer program.
In order to solve the above technical problems, an embodiment of the present application further provides a computer readable storage medium, which adopts the following technical schemes:
The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the quantum cloud platform quantum device monitoring method as described above.
Compared with the prior art, the method and the device have the advantages that through obtaining the operation parameters, the equipment parameters and the service types of the quantum equipment in the quantum cloud platform, when the service types are sharing service types, the load states of the quantum equipment in the quantum cloud platform are obtained, or when the service types are exclusive service types, the load states of the quantum equipment are obtained when the experimental time when the load states of the quantum equipment are predicted to be preset states through a prediction model is reached, when the load states of the quantum equipment are the preset states, a target monitoring experiment is determined according to the equipment parameters, and monitoring analysis is carried out on the quantum equipment according to the operation parameters and the target monitoring experiment, so that a monitoring analysis result is obtained. According to the method, different determined quantum equipment load states are adopted for different service types, and an abnormal analysis experiment is carried out when the load states are preset, so that the monitoring analysis efficiency and accuracy are improved, the occupation of quantum bits is reduced, after the monitoring analysis result is obtained, operation and maintenance personnel can know the current state of each quantum equipment on the quantum cloud platform according to the monitoring analysis result, and if the quantum equipment fails and is damaged, the operation and maintenance personnel can also respond in time to carry out maintenance, and damage to the quantum equipment is reduced.
Drawings
In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for the description of the embodiments of the present application, it being apparent that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without the exercise of inventive effort for a person of ordinary skill in the art.
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a block diagram of the server of FIG. 1;
FIG. 3 is a flow chart of one embodiment of a quantum cloud platform quantum device monitoring method according to the present application;
FIG. 4 is a schematic structural diagram of one embodiment of a quantum cloud platform quantum device monitoring apparatus according to the present application;
FIG. 5 is a schematic structural diagram of one embodiment of a computer device in accordance with the present application.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs, the terms used in the description herein are used for the purpose of describing particular embodiments only and are not intended to limit the application, and the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the above description of the drawings are intended to cover non-exclusive inclusions. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In order to make the person skilled in the art better understand the solution of the present application, the technical solution of the embodiment of the present application will be clearly and completely described below with reference to the accompanying drawings.
As shown in fig. 1 and 2, the system architecture 100 may include a quantum cloud platform 101 and a server 102, where the server 102 may be a server providing various services, and the server 102 may include at least one quantum device.
It should be noted that, the quantum cloud platform quantum device monitoring method provided by the embodiment of the application is generally executed by a server, and correspondingly, the quantum cloud platform quantum device monitoring device is generally arranged in the server.
With continued reference to fig. 3, a flow chart of one embodiment of a method of quantum cloud platform quantum device monitoring according to the present application is shown. The quantum cloud platform quantum equipment monitoring method comprises the following steps:
Step S201, acquiring operation parameters, device parameters and service types of the quantum devices in the quantum cloud platform.
In this embodiment, the electronic device (for example, the server shown in fig. 1) on which the quantum cloud platform quantum device monitoring method operates may receive the operation parameters, the device parameters, and the load state of the quantum device from the quantum cloud platform through a wired connection manner or a wireless connection manner. It should be noted that the wireless connection may include, but is not limited to, 3G/4G connection, wiFi connection, bluetooth connection, wiMAX connection, zigbee connection, UWB (ultra wideband) connection, and other now known or later developed wireless connection.
The operation parameters comprise environment parameters and internal parameters, wherein the environment parameters are parameters in an operation environment where the quantum equipment in the quantum cloud platform is located, such as machine room temperature, dilution refrigerator temperature, cooling materials such as liquid nitrogen and liquid helium level and the like, the internal parameters are parameters (such as field locking voltage in nuclear magnetic quantum equipment) in the quantum cloud platform when the quantum equipment in the quantum cloud platform is operated, and the equipment parameters are specifications of the quantum equipment, such as technical routes (nuclear magnetic quantum equipment, superconducting quantum equipment or the like), quantum bit numbers and the like.
And step S202, when the service type is a shared service type, acquiring the load state of the quantum equipment in the quantum platform, or when the service type is a special service type, after the experimental moment that the load state in the quantum equipment is a preset state is predicted by a prediction model, acquiring the load state of the quantum equipment when the experimental moment is reached.
In the shared service type, the quantum devices on the quantum cloud platform are in a shared state, and can be accessed by any user, generally, the quantum devices are multiple to meet the use requirement of the user, the quantum devices form a quantum device set, and in the shared service type, the quantum devices on the quantum cloud platform can only be accessed by a target user, and all user tasks sent by the target user are processed by the quantum devices.
The prediction model is a combination of an Arima model (differential integration moving average autoregressive model) and a neural network, and when the service type is a private service type, the prediction model predicts the experimental moment that the load state of the quantum device is a preset state (see below).
The experimental time is characterized by the starting time of an abnormality analysis experiment for the quantum equipment according to the target monitoring experiment.
And step 203, when the load state of the quantum device is a preset state, determining a target monitoring experiment according to the device parameter, and performing monitoring analysis on the quantum device according to the operation parameter and the target monitoring experiment to obtain a monitoring analysis result.
In this embodiment, the preset state may be an idle state, and since the quantum bits are occupied when the monitoring analysis is performed, if the monitoring analysis is performed when the preset state is the idle state, the occupation of the quantum bits by the anomaly analysis experiment can be effectively reduced, and the influence on the processing efficiency of the user task is reduced.
In practical application, if the preset state is an idle state, when the service type is a shared service type, the quantum cloud platform determines quantum devices capable of monitoring and analyzing in each quantum device according to the load state of each quantum device, for example, three quantum devices are shared in the quantum cloud platform, wherein the load state of two quantum devices is a general state, the load state of the rest one quantum device is the idle state, then the quantum devices with the load state being the idle state are selected for monitoring and analyzing, and based on the monitoring and analyzing, in the shared service type, the distribution freedom degree of an abnormal analysis experiment is large.
When the service type is the exclusive service type, the quantum device is exclusive to the target user, so that the experimental moment that the load state of the quantum device is in the idle state is predicted through the prediction model, when the experimental moment is reached, the load state of the quantum device is obtained, and if the load state is the idle state, the quantum device is monitored and analyzed.
According to the application, different quantitative sub-equipment load states are determined according to different service types, and an abnormal analysis experiment is carried out when the load state is a preset state, so that the monitoring analysis efficiency and the accuracy are improved, the occupation of quantum bits is reduced, after the monitoring analysis result is obtained, a user can know the current state of each quantum equipment on the quantum cloud platform according to the monitoring analysis result, and if the quantum equipment fails and is damaged, the system can also timely respond to carry out maintenance, and the damage to the quantum equipment is reduced.
In some alternative implementations, before the step S202, the step of determining the target monitoring experiment according to the device parameter includes:
extracting the equipment identification and the equipment characteristic information of the quantum equipment from the equipment parameters;
if the equipment identifier is an index identifier, judging whether the operation parameter meets a preset threshold value, and if the operation parameter meets the preset threshold value, determining a target monitoring experiment according to the equipment characteristic information;
And if the equipment identifier is a non-index identifier, determining a target monitoring experiment according to the equipment characteristic information.
In this embodiment, the above-mentioned device characteristic information may be a device model. The device identifier is an index identifier/non-index identifier, the index identifier and the non-index identifier refer to types of quantum devices, the device identifier is distinguished in the initial stage, and the index identifier and the non-index identifier are obtained, wherein the index identifier/non-index identifier corresponds to one type of quantum device, the index identifier is a nuclear magnetic identifier, the corresponding quantum device is a nuclear magnetic quantum device, the non-index identifier is a superconducting identifier, and the corresponding quantum device is a superconducting quantum device.
Further, when the device identifier is an index identifier, a preset threshold value is determined according to the index identifier, whether the quantum device is abnormal or not is judged according to a comparison result of the operation parameter and the preset threshold value, then a target monitoring experiment is determined through device characteristic information, if the index identifier is a nuclear magnetic identifier, the corresponding quantum device is a nuclear magnetic quantum device, a field locking voltage (namely an internal parameter in the operation parameter) is required to be applied to the nuclear magnetic quantum device, when the field locking voltage meets the preset threshold value (such as being greater than or equal to the preset index threshold value), the nuclear magnetic quantum device is judged to need monitoring analysis so as to determine factors causing the abnormality of the nuclear magnetic quantum device, when the field locking voltage of the nuclear magnetic quantum device meets the preset threshold value, the RB can be further tested to judge the device performance level through the target monitoring experiment as a random reference, and if necessary, the quantum bit frequency is recalibrated.
When the equipment identifier is a non-index identifier, the method is characterized in that the method cannot perform initial abnormality judgment through a simple index (such as judging whether a threshold value is met or not), and a target monitoring experiment is directly determined through equipment characteristic information, if the non-index identifier is a superconducting identifier, the corresponding quantum equipment is superconducting quantum equipment, and in the experiment, in order to reduce the occupied time of quantum bits in an abnormality analysis experiment, a Rabi oscillation experiment and a Ramsey experiment can be selected as the target monitoring experiment.
Therefore, different abnormality judgment steps are adopted according to different equipment identifiers, so that the abnormality judgment efficiency and correctness are effectively improved, and the occupation of quantum bits is reduced.
In some optional implementations, in step S203, the step of performing monitoring analysis on the quantum device according to the operating parameter and the target monitoring experiment to obtain a monitoring analysis result includes:
Determining a first state of the quantum device according to the operating parameter;
If the first state of the quantum equipment does not meet the first set state, determining an abnormal grade according to the first state;
If the first state of the quantum equipment meets the first set state, acquiring a task operation result in a target operation time period, and determining a second state of the quantum equipment according to the task operation result;
If the second state of the quantum equipment does not meet the second set state, determining an abnormal grade according to the second state;
if the second state of the quantum equipment meets a second set state, determining the running state of the quantum equipment according to the experimental result of the target monitoring experiment, and determining an abnormal grade according to the running state of the quantum equipment;
and taking the abnormal grade as the monitoring analysis result.
In the embodiment, the target operation time period is a target user task execution time period, the task operation result is a user task execution result and comprises processing efficiency, processing accuracy and the like, the abnormality class is divided into three classes, wherein the first class abnormality class is characterized in that quantum equipment in a machine room is abnormal in a large area, the second class abnormality class is that the quantum equipment in the middle part of the machine room cannot work, and the third class abnormality class is that the quantum equipment in the machine room deviates from a preset state.
In practical application, first states of the quantum device are analyzed according to operation parameters (including environment parameters and internal parameters), such as analyzing a machine room temperature in the environment parameters, if the machine room temperature is greater than a set value, namely, the first states of the quantum device do not meet the first set state, the machine room temperature is in an abnormal state, and an abnormal grade is determined, otherwise, if the machine room temperature is smaller than the set value, second states of the quantum device are analyzed according to task operation results in a target operation time period to further confirm states of the quantum device, and in the second states of the quantum device are confirmed, such as after the task results of the quantum device processing user tasks in the target time are analyzed, fidelity is extracted from the task results, if the fidelity is lower than the set fidelity, the second states of the quantum device are determined not to meet the second set state, the abnormal state is determined, and the abnormal grade is determined, otherwise, if the fidelity is greater than or equal to the set fidelity, the second states of the quantum device are determined to meet the second set state, and a target monitoring experiment is adopted to further determine the states of the quantum device.
The running state of the quantum equipment is analyzed through a plurality of dimensions (task running results, running parameters and experimental results), so that the accuracy of the state judgment of the quantum equipment can be effectively ensured, the operation and maintenance personnel can be timely notified when the quantum equipment is abnormal, and the influence on the quantum equipment when the user task is processed is reduced.
In some optional implementations, the step of determining the anomaly level from the operational state of the quantum device includes:
if the running state of the quantum equipment is an unavailable state, determining that the abnormal grade is a serious grade;
and if the running state of the quantum equipment is an available state, extracting the current fidelity from the task running result, and determining an abnormal grade according to the comparison result of the current fidelity and the preset fidelity.
In this embodiment, the manner of calculating the current fidelity may be quantum state chromatography (QST), quantum process chromatography (QPT), etc., which is not particularly limited herein.
Taking a single-bit gate as an example, the fidelity of the single-bit gate is generally 99.9%, in practical application, the preset fidelity (such as 95%) can be set according to practical requirements, that is, in practical application, when the fidelity of the single-bit gate is smaller than or equal to the preset fidelity, the quantum equipment is judged to need to be maintained.
In some optional implementations, step S203, after the step of obtaining the monitoring analysis result, further includes:
and determining an early warning mode according to the abnormal grade, and outputting the monitoring analysis result according to the early warning mode.
In the embodiment, the early warning modes comprise mail notification, short message notification, telephone notification and the like, and in practical application, the early warning mode corresponding to the abnormal grade can be determined according to the response speed of different notifications, for example, telephone notification is carried out when the abnormal grade is first grade, short message notification is carried out when the abnormal grade is second grade, and mail notification is carried out when the abnormal grade is third grade.
In some optional implementations, the step of outputting the anomaly level and the monitoring analysis result according to the early warning mode includes:
When the abnormal grade meets a preset grade, determining a target output time period of early warning according to the load state of the quantum equipment, and outputting the abnormal grade and the monitoring analysis result in the target output time period of early warning.
In this embodiment, by setting the target output time period of the early warning, the abnormal level and the monitoring analysis result can be timely sent to the operation and maintenance personnel, so as to avoid causing larger deviation between the actual state and the target state (such as the optimal state) of the quantum device, and reduce the influence on the quantum device when processing the user task.
In some optional implementations, the step of outputting the anomaly level and the monitoring analysis result according to the early warning mode includes:
and determining early warning response time according to the abnormal grade, and outputting the abnormal grade, the monitoring analysis result and the early warning response time according to the early warning mode.
In practical application, the early warning response time can be corresponding to different early warning response times according to different abnormal grades, for example, the early warning response time is shortest when the first-level abnormal grade is compared with the second-level abnormal grade, and the early warning response time is longest when the third-level abnormal grade is compared with the first-level abnormal grade.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored in a computer-readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
With further reference to fig. 4, as an implementation of the method shown in fig. 3, the present application provides an embodiment of a quantum cloud platform quantum device monitoring apparatus, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 3, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 4, the quantum cloud platform quantum device monitoring apparatus 300 according to the present embodiment includes a control module 301, a monitoring module 302, a data analysis module 303, and an early warning module 304, where the monitoring module 302, the data analysis module 303, and the early warning module 304 are all connected with the control module;
The control module 301 is configured to receive and store the operation parameters of the quantum device and the target monitoring experiment acquired by the monitoring module 302, send a data analysis instruction to the data analysis module, send an experiment instruction to the monitoring module, and send an early warning instruction to the early warning module;
the monitoring module 302 is configured to obtain an operation parameter, an equipment parameter and a service type of the quantum equipment in the quantum cloud platform, and receive an experiment instruction sent by the control module 301, so as to perform a target monitoring experiment;
The data analysis module 303 is configured to receive a data analysis instruction sent by the control module 301, analyze an operation parameter, an equipment parameter and a service type of the quantum equipment, obtain a load state of the quantum equipment in the quantum platform when the service type is a shared service type, or obtain the load state of the quantum equipment when an experimental moment when the load state of the quantum equipment is a preset state is reached after the service type is a special service type and the load state of the quantum equipment is predicted to be the preset state by a prediction model, and determine a target monitoring experiment according to the operation parameter and the target monitoring experiment to monitor and analyze the quantum equipment according to the equipment parameter when the load state of the quantum equipment is the preset state, so as to obtain a monitoring analysis result.
The early warning module 304 is configured to receive the early warning instruction sent by the control module 301, determine an early warning mode according to the abnormal grade, and output the abnormal grade and the monitoring analysis result according to the early warning mode.
According to the application, different quantitative sub-equipment load states are determined according to different service types, and an abnormal analysis experiment is carried out when the load state is a preset state, so that the monitoring analysis efficiency and the accuracy are improved, the occupation of quantum bits is reduced, after the monitoring analysis result is obtained, a user can know the current state of each quantum equipment on the quantum cloud platform according to the monitoring analysis result, and if the quantum equipment fails and is damaged, the system can also timely respond to carry out maintenance, and the damage to the quantum equipment is reduced.
In some alternative implementations, the data analysis module 303 is further configured to perform the following steps:
extracting the equipment identification and the equipment characteristic information of the quantum equipment from the equipment parameters;
if the equipment identifier is an index identifier, judging whether the operation parameter meets a preset threshold value, and if the operation parameter meets the preset threshold value, determining a target monitoring experiment according to the equipment characteristic information;
And if the equipment identifier is a non-index identifier, determining a target monitoring experiment according to the equipment characteristic information.
In some alternative implementations, the data analysis module 303 is further configured to perform the following steps:
And when the index mark is a nuclear magnetic mark, judging whether the field locking voltage in the operation parameter meets a preset threshold value, and if the field locking voltage in the operation parameter meets the preset threshold value, determining a target monitoring experiment as a random reference test according to the equipment characteristic information.
And when the non-index mark is a superconducting mark, determining that the target monitoring experiment is a Ramsey experiment and a Ramsey experiment according to the equipment characteristic information.
In some alternative implementations, the data analysis module 303 is further configured to perform the following steps:
Determining a first state of the quantum device according to the operating parameter;
If the first state of the quantum equipment does not meet the first set state, determining an abnormal grade according to the first state;
If the first state of the quantum equipment meets the first set state, acquiring a task operation result in a target operation time period, and determining a second state of the quantum equipment according to the task operation result;
If the second state of the quantum equipment does not meet the second set state, determining an abnormal grade according to the second state;
if the second state of the quantum equipment meets a second set state, determining the running state of the quantum equipment according to the experimental result of the target monitoring experiment, and determining an abnormal grade according to the running state of the quantum equipment;
and taking the abnormal grade as the monitoring analysis result.
In some alternative implementations, the data analysis module 303 is further configured to perform the following steps:
if the running state of the quantum equipment is an unavailable state, determining that the abnormal grade is a serious grade;
and if the running state of the quantum equipment is an available state, extracting the current fidelity from the task running result, and determining an abnormal grade according to the comparison result of the current fidelity and the preset fidelity.
In some alternative implementations, the pre-warning module 304 is further configured to perform the following steps:
When the abnormal grade meets a preset grade, determining a target output time period of early warning according to the load state of the quantum equipment, and outputting the abnormal grade and the monitoring analysis result in the target output time period of early warning.
In some alternative implementations, the pre-warning module 304 is further configured to perform the following steps:
and determining early warning response time according to the abnormal grade, and outputting the abnormal grade, the monitoring analysis result and the early warning response time according to the early warning mode.
In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 5, fig. 5 is a basic structural block diagram of a computer device according to the present embodiment.
The computer device 4 comprises a memory 41, a processor 42, a network interface 43 communicatively connected to each other via a system bus. It should be noted that only computer device 4 having components 41-43 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and its hardware includes, but is not limited to, a microprocessor, an Application SPECIFIC INTEGRATED Circuit (ASIC), a Programmable gate array (Field-Programmable GATE ARRAY, FPGA), a digital Processor (DIGITAL SIGNAL Processor, DSP), an embedded device, and the like.
The computer equipment can be desktop computers, notebooks, palm computers, quantum cloud platforms and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 41 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD) or the like, which are provided on the computer device 4. Of course, the memory 41 may also comprise both an internal memory unit of the computer device 4 and an external memory device. In this embodiment, the memory 41 is generally used to store an operating system and various application software installed on the computer device 4, such as a program code of a quantum cloud platform quantum device monitoring method. Further, the memory 41 may be used to temporarily store various types of data that have been output or are to be output.
The processor 42 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to execute a program code stored in the memory 41 or process data, for example, a program code for executing the quantum cloud platform quantum device monitoring method.
The network interface 43 may comprise a wireless network interface or a wired network interface, which network interface 43 is typically used for establishing a communication connection between the computer device 4 and other electronic devices.
According to the application, different quantitative sub-equipment load states are determined according to different service types, and an abnormal analysis experiment is carried out when the load state is a preset state, so that the monitoring analysis efficiency and the accuracy are improved, the occupation of quantum bits is reduced, after the monitoring analysis result is obtained, a user can know the current state of each quantum equipment on the quantum cloud platform according to the monitoring analysis result, and if the quantum equipment fails and is damaged, the system can also timely respond to carry out maintenance, and the damage to the quantum equipment is reduced.
The present application also provides another embodiment, namely, a computer readable storage medium, where a quantum cloud platform quantum device monitoring program is stored, where the quantum cloud platform quantum device monitoring program can be executed by at least one processor, so that the at least one processor performs the steps of the quantum cloud platform quantum device monitoring method described above.
According to the application, different quantitative sub-equipment load states are determined according to different service types, and an abnormal analysis experiment is carried out when the load state is a preset state, so that the monitoring analysis efficiency and the accuracy are improved, the occupation of quantum bits is reduced, after the monitoring analysis result is obtained, a user can know the current state of each quantum equipment on the quantum cloud platform according to the monitoring analysis result, and if the quantum equipment fails and is damaged, the system can also timely respond to carry out maintenance, and the damage to the quantum equipment is reduced.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.
Claims (12)
1. The quantum cloud platform quantum equipment monitoring method is characterized by comprising the following steps of:
acquiring operation parameters, equipment parameters and service types of the quantum equipment in the quantum cloud platform;
When the service type is a shared service type, acquiring the load state of the quantum equipment in the quantum cloud platform, or when the service type is a special service type, acquiring the load state of the quantum equipment after the experimental moment when the load state in the quantum equipment is predicted to be a preset state by a prediction model reaches the experimental moment;
And when the load state of the quantum equipment is a preset state, determining a target monitoring experiment according to the equipment parameter, and carrying out monitoring analysis on the quantum equipment according to the operation parameter and the target monitoring experiment to obtain a monitoring analysis result.
2. The quantum cloud platform quantum device monitoring method of claim 1, wherein the step of determining a target monitoring experiment according to the device parameter comprises:
extracting the equipment identification and the equipment characteristic information of the quantum equipment from the equipment parameters;
If the equipment identifier is an index identifier, judging whether the operation parameter meets a preset threshold value, and if the operation parameter meets the preset threshold value, determining a target monitoring experiment according to the equipment characteristic information;
and if the equipment identifier is a non-index identifier, determining a target monitoring experiment according to the equipment characteristic information.
3. The quantum cloud platform quantum device monitoring method of claim 2, wherein,
When the index mark is a nuclear magnetic mark, judging whether the field locking voltage in the operation parameter meets a preset threshold value, and if the field locking voltage in the operation parameter meets the preset threshold value, determining a target monitoring experiment as a random reference test according to the equipment characteristic information;
And when the non-index mark is a superconducting mark, determining that a target monitoring experiment is a Rabi (Rabi) oscillation experiment and a Ramsey experiment according to the equipment characteristic information.
4. A quantum cloud platform quantum device monitoring method according to any one of claims 1 to 3, wherein the step of monitoring and analyzing the quantum device according to the operation parameter and the target monitoring experiment to obtain a monitoring and analyzing result comprises:
Determining a first state of the quantum device according to the operating parameter;
If the first state of the quantum equipment does not meet the first set state, determining an abnormal grade according to the first state;
If the first state of the quantum equipment meets the first set state, acquiring a task operation result in a target operation time period, and determining a second state of the quantum equipment according to the task operation result;
If the second state of the quantum equipment does not meet the second set state, determining an abnormal grade according to the second state;
if the second state of the quantum equipment meets a second set state, determining the running state of the quantum equipment according to the experimental result of the target monitoring experiment, and determining an abnormal grade according to the running state of the quantum equipment;
and taking the abnormal grade as the monitoring analysis result.
5. The quantum cloud platform quantum device monitoring method of claim 4, wherein the step of determining an anomaly level from an operational state of the quantum device comprises:
if the running state of the quantum equipment is an unavailable state, determining that the abnormal grade is a serious grade;
and if the running state of the quantum equipment is an available state, extracting the current fidelity from the task running result, and determining an abnormal grade according to the comparison result of the current fidelity and the preset fidelity.
6. The quantum cloud platform quantum device monitoring method of claim 4, further comprising, after the step of obtaining the monitoring analysis result:
and determining an early warning mode according to the abnormal grade, and outputting the abnormal grade and the monitoring analysis result according to the early warning mode.
7. The quantum cloud platform quantum device monitoring method according to claim 6, wherein the step of outputting the anomaly level and the monitoring analysis result according to the early warning mode comprises:
When the abnormal grade meets a preset grade, determining a target output time period of early warning according to the load state of the quantum equipment, and outputting the abnormal grade and the monitoring analysis result in the target output time period of early warning;
And/or determining early warning response time according to the abnormal grade, and outputting the abnormal grade, the monitoring analysis result and the early warning response time according to the early warning mode.
8. The quantum cloud platform quantum device monitoring method of claim 1, wherein the preset state is an idle state.
9. The quantum cloud platform quantum equipment monitoring device is characterized by comprising a control module, a monitoring module, a data analysis module and an early warning module, wherein the monitoring module, the data analysis module and the early warning module are all connected with the control module;
The monitoring module is used for acquiring the operation parameters, the equipment parameters and the service types of the quantum equipment in the quantum cloud platform;
The data analysis module is used for acquiring the load state of the quantum equipment in the quantum cloud platform when the service type is a shared service type, or acquiring the load state of the quantum equipment when the experimental moment is reached after the load state in the quantum equipment is predicted to be in a preset state by a prediction model when the service type is a special service type;
And the early warning module is used for sending the abnormal grade of the quantum equipment and monitoring and analyzing results to an operation and maintenance personnel end.
10. The quantum cloud platform quantum device monitoring apparatus of claim 9, wherein the preset state is an idle state.
11. Computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor, when executing the computer program, implementing the steps of the quantum cloud platform quantum device monitoring method of any of claims 1 to 8.
12. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the quantum cloud platform quantum device monitoring method according to any of claims 1 to 8.
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| CN108241864A (en) * | 2016-12-26 | 2018-07-03 | 摩根士丹利服务集团有限公司 | Server performance Forecasting Methodology based on multivariable grouping |
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