CN115409188A - Quantum cloud platform quantum device monitoring method and related device thereof - Google Patents
Quantum cloud platform quantum device monitoring method and related device thereof Download PDFInfo
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Abstract
The embodiment of the application belongs to the field of quantum cloud computing, and relates to a quantum device monitoring method for a quantum cloud platform, which comprises the steps of obtaining operation parameters, device parameters and service types of quantum devices in the quantum cloud platform; when the service type is the sharing service type, acquiring the load state of quantum equipment in the quantum platform; or when the service type is the exclusive service type, after the experimental time that the load state in the quantum equipment is in the preset state is predicted through the prediction model, when the experimental time is reached, the load state of the quantum equipment is obtained; and when the load state of the quantum equipment is a preset state, determining a target monitoring experiment according to the equipment parameters, and carrying out monitoring analysis on the quantum equipment according to the operation parameters and the target monitoring experiment to obtain a monitoring analysis result. The application also provides related equipment for quantum cloud platform quantum equipment monitoring. The monitoring efficiency and the monitoring accuracy are effectively improved, and operation and maintenance personnel can accurately and timely know the state of the quantum equipment.
Description
Technical Field
The application relates to the technical field of quantum cloud computing, in particular to a quantum device monitoring method of a quantum cloud platform and related devices thereof.
Background
Quantum devices encode information into qubits, process multiple information in parallel using the superposition properties of the qubits, and quantum computing has proven to be significantly accelerated over classical computing in some problems, such as large-prime factorization, chaotic database searches, and the like.
The quantum cloud platform is a platform for providing cloud computing service by using quantum equipment; the quantum cloud platform is connected with a plurality of quantum devices, the working state of each quantum device can be changed in the long-time running process, such as failure, abnormity and the like, the existing processing mode is that each quantum device is monitored manually, the monitoring efficiency is low, the monitoring effect is poor, the manual monitoring mode occupies the quantum device for a long time, and the quantum device processing user task is influenced.
Disclosure of Invention
The embodiment of the application provides a quantum device monitoring method of a quantum cloud platform and related devices 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 above technical problem, an embodiment of the present application provides a quantum device monitoring method for a quantum cloud platform, which adopts the following technical scheme:
obtaining 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 dedicated service type, after an experimental time that the load state in the quantum device is a preset state is predicted through a prediction model, when the experimental time is reached, the load state of the quantum device is obtained;
and when the load state of the quantum equipment is a preset state, determining a target monitoring experiment according to the equipment parameters, and monitoring and analyzing the quantum equipment according to the operation parameters and the target monitoring experiment to obtain a monitoring and analyzing result.
Further, the step of determining a target monitoring experiment according to the device parameters includes:
extracting the device identification and the device characteristic information of the quantum device from the device 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 identifier is a nuclear magnetic identifier, judging whether the lock field voltage in the operation parameter meets a preset threshold value, and if the lock field voltage in the operation parameter meets the preset threshold value, determining that a target monitoring experiment is a random benchmark 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 or a Larabi oscillation experiment according to the equipment characteristic information.
Further, the step of performing monitoring analysis on the quantum device according to the operating parameters 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 device meets the first set state, acquiring a task operation result in a target operation time period, and determining a second state of the quantum device 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 operation state of the quantum equipment according to the experimental result of the target monitoring experiment, and determining an abnormal grade according to the operation state of the quantum equipment;
and taking the abnormity grade as the monitoring analysis result.
Further, the step of determining an abnormality level according to the operation state of the quantum device includes:
if the running state of the quantum equipment is the unavailable state, determining that the abnormal grade is a serious grade;
and if the running state of the quantum equipment is the available state, extracting the current fidelity from the task running result, and determining the 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 manner includes:
and when the abnormal grade meets a preset grade, determining a pre-warning target output time period according to the load state of the quantum equipment, and outputting the abnormal grade and the monitoring analysis result in the pre-warning target output time period.
Further, the step of outputting the abnormal grade and the monitoring and analyzing 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 above technical problem, an embodiment of the present application further provides a quantum cloud platform quantum device monitoring apparatus, 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, when the service type is a dedicated service type, after an experimental time that the load state in the quantum device is a preset state is predicted through a prediction model, when the experimental time is reached, the load state of the quantum device is obtained; when the load state of the quantum equipment is a preset state, determining a target monitoring experiment according to the equipment parameters; monitoring and analyzing the quantum equipment according to the operation parameters and the target monitoring experiment to obtain a monitoring and analyzing result;
and the early warning module is used for sending the abnormal grade of the quantum equipment and a monitoring analysis result to an operation and maintenance personnel end.
In order to solve the above technical problem, an embodiment of the present application further provides a computer device, which adopts the following technical solutions:
the monitoring method comprises a storage and a processor, wherein the storage stores a computer program, and the processor executes the computer program to realize the steps of the monitoring method for the quantum device of the quantum cloud platform.
In order to solve the above technical problem, an embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solutions:
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 embodiment of the application mainly has the following beneficial effects: obtaining 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 the exclusive service type, after the experimental time that the load state in the quantum equipment is in the preset state is predicted through a prediction model, when the experimental time is reached, the load state of the quantum equipment is obtained; and when the load state of the quantum equipment is a preset state, determining a target monitoring experiment according to the equipment parameters, and monitoring and analyzing the quantum equipment according to the operation parameters and the target monitoring experiment to obtain a monitoring and analyzing result. Different modes of confirming quantum equipment load state are adopted to different service types in this application, and carry out the abnormal analysis experiment when load state is for predetermineeing the state, in order to promote monitoring analysis efficiency and rate of accuracy like this, reduce the occupation of qubit, after obtaining the monitoring analysis result, fortune dimension personnel can know the current state of each quantum equipment on the quantum cloud platform according to the monitoring analysis result, if quantum equipment breaks down, when damaging, also can in time react and maintain, reduce the harm that causes quantum equipment.
Drawings
In order to more clearly illustrate the solution of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the description below are some embodiments of the present application, and that other drawings may be obtained by those skilled in the art without inventive effort.
FIG. 1 is an exemplary system architecture diagram to which the present application may be applied;
FIG. 2 is an architecture diagram of the server of FIG. 1;
FIG. 3 is a flow diagram 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 an embodiment of a quantum cloud platform quantum device monitoring apparatus according to the present application;
FIG. 5 is a block diagram of one embodiment of a computer device according to 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 terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase 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. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
As shown in fig. 1 and 2, system architecture 100 may include a quantum cloud platform 101 and a server 102; 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 in the embodiment of the present application is generally executed by a server, and accordingly, the quantum cloud platform quantum device monitoring apparatus is generally disposed in the server.
With continuing reference to fig. 3, a flow diagram of one embodiment of a method of quantum cloud platform quantum device monitoring in accordance with the present application is shown. The quantum cloud platform quantum device monitoring method comprises the following steps:
step S201, obtaining operation parameters, device parameters, and service types of the quantum device in the quantum cloud platform.
In this embodiment, an electronic device (for example, a server shown in fig. 1) on which the quantum cloud platform quantum device monitoring method operates may receive operation parameters, device parameters, and a load state of a quantum device from the quantum cloud platform in a wired connection manner or a wireless connection manner. It is noted that the wireless connection may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a UWB (ultra wideband) connection, and other wireless connection now known or developed in the future.
The operation parameters comprise environmental parameters and internal parameters, wherein the environmental parameters are parameters in the operation environment of the quantum equipment in the quantum cloud platform, such as the temperature of a machine room, the temperature of a dilution refrigerator, the level of a cooling material such as liquid nitrogen and liquid helium, and the like; the internal parameters are internal parameters (such as field locking voltage in nuclear magnetic quantum equipment) when the quantum equipment in the quantum cloud platform operates; the device parameters are the specifications of quantum devices, such as technical lines (nuclear magnetic quantum devices, superconducting quantum devices or other), quantum bit numbers and the like.
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 dedicated service type, predicting an experimental time at which the load state in the quantum device is in a preset state by a prediction model, and then obtaining the load state of the quantum device when the experimental time is reached.
In this embodiment, the service types include a shared service type and an exclusive service type; in the sharing service type, quantum devices on a quantum cloud platform are in a sharing state, and any user can access the quantum devices, generally speaking, in order to meet the use requirements of the user, the number of the quantum devices is multiple, and the multiple quantum devices form a quantum device set; in the exclusive service type, quantum devices on a quantum cloud platform can only be accessed by target users, and all user tasks sent by the target users are processed by the quantum devices.
The prediction model is the combination of an Arima model (difference integration moving average autoregressive model) and a neural network; when the service type is the exclusive service type, predicting the experimental time when the load state of the quantum device is the preset state by using the prediction model (see the following text for details).
The experiment time is characterized by the starting time of performing an anomaly analysis experiment on the quantum equipment according to the target monitoring experiment.
Step S203, when the load state of the quantum device is a preset state, determining a target monitoring experiment according to the device parameters, and performing monitoring analysis on the quantum device according to the operation parameters and the target monitoring experiment to obtain a monitoring analysis result.
In this embodiment, the preset state may be an idle state, and the qubit needs to be occupied during the monitoring analysis, so that if the monitoring analysis is performed when the preset state is the idle state, the occupation of the qubit by the abnormal 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 equipment capable of performing monitoring analysis in each quantum equipment according to the load state of each quantum equipment; if three quantum devices are arranged in the quantum cloud platform, wherein the load states of the two quantum devices are in a common state, and the load state of the remaining quantum device is in an idle state, the quantum device with the load state in the idle state is selected for monitoring and analyzing; based on this, in the shared service type, the degree of freedom of allocation of the anomaly analysis experiment is large.
The preset state is an idle state, when the service type is a dedicated service type, the quantum device is monopolized by a target user in the dedicated service type, so that the experimental time that the load state of the quantum device is in the idle state needs to be predicted through a prediction model, when the experimental time is reached, the load state of the quantum device is obtained, and if the experimental time is in the idle state, the quantum device is monitored and analyzed.
Different modes of confirming quantum equipment load state are adopted to different service types in this application, and carry out the abnormal analysis experiment when load state is for predetermineeing the state, in order to promote monitoring analysis efficiency and rate of accuracy like this, the occupation of the qubit of reduction, after obtaining the monitoring analysis result, the user can know the current state of each quantum equipment on the quantum cloud platform according to the monitoring analysis result, if quantum equipment breaks down, when damaging, also can in time react and maintain, reduce the harm that causes quantum equipment.
In some optional implementations, before the step S202, the step of determining the target monitoring experiment according to the device parameter includes:
extracting the device identification and the device characteristic information of the quantum device from the device 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 device feature information may be a device model. The equipment identification is index identification/non-index identification, the index identification and the non-index identification refer to the type of quantum equipment, and the equipment identification is initially distinguished to obtain index identification and non-index identification, wherein the index identification/non-index identification corresponds to one type of the quantum equipment, if the index identification is nuclear magnetic identification, the corresponding quantum equipment is nuclear magnetic quantum equipment; if the non-index mark is a superconducting mark, the corresponding quantum device is a superconducting quantum device.
Further, when the equipment identifier is an index identifier, a preset threshold value is determined according to the index identifier, whether the quantum equipment is abnormal or not is judged according to a comparison result of the operation parameter and the preset threshold value, and then a target monitoring experiment is determined through equipment characteristic information; if the index mark is a nuclear magnetic mark, the corresponding quantum device is a nuclear magnetic quantum device, a lock field voltage (i.e., an internal parameter in the operation parameter) needs to be applied to the nuclear magnetic quantum device, and when the lock field voltage meets a preset threshold (e.g., is greater than or equal to the preset index threshold), it is determined that the nuclear magnetic quantum device needs to be monitored and analyzed to determine a factor causing the abnormality of the nuclear magnetic quantum device; when the lock field voltage of the nuclear magnetic quantum equipment meets the preset threshold value, the performance level of the equipment can be further judged for the random benchmark test RB through a target monitoring experiment, and the quantum bit frequency is calibrated again if necessary.
When the equipment identifier is a non-index identifier, the device identifier is characterized in that the primary judgment of abnormity can not be carried out through simple indexes (if the judgment is carried out to meet the threshold value), and a target monitoring experiment is determined directly through equipment characteristic information; if the non-index mark is a superconducting mark and the corresponding quantum device is a superconducting quantum device, in an experiment, in order to reduce the occupied time of a quantum bit in an anomaly analysis experiment, a Rabi oscillation experiment and a Ramsey experiment can be selected as a target monitoring experiment.
Therefore, different abnormity judgment steps are adopted according to different equipment identifications, abnormity judgment efficiency and correctness are effectively improved, and occupation of quantum bits is reduced.
In some optional implementation manners, in step S203, the monitoring and analyzing the quantum device according to the operation parameter and the target monitoring experiment, and obtaining 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 device meets the first set state, acquiring a task operation result in a target operation time period, and determining a second state of the quantum device 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 operation state of the quantum equipment according to the experimental result of the target monitoring experiment, and determining an abnormal grade according to the operation state of the quantum equipment;
and taking the abnormal grade as the monitoring analysis result.
In this embodiment, the target running time period is a target time period for executing a user task; the task operation result is a result after the user task is executed, and comprises processing efficiency, processing accuracy and the like; the abnormal grades are divided into three grades, wherein the first grade abnormal grade represents that the quantum equipment in the machine room has large-area abnormality, the second grade abnormal grade represents that part of the quantum equipment in the machine room can not work, and the third grade abnormal grade represents that part of the quantum equipment in the machine room deviates from a preset state.
In practical application, a first state of the quantum device is analyzed according to operation parameters (including environment parameters and internal parameters), for example, the temperature of a machine room in the environment parameters is analyzed, if the temperature of the machine room is greater than a set value, that is, the first state of the quantum device does not meet the first set state and is in an abnormal state, an abnormal level is determined, otherwise, if the temperature of the machine room is less than the set value, the state of the quantum device is further determined by obtaining a task operation result in a target operation time period and analyzing a second state of the quantum device according to the task operation result; and in the second state of the quantum device, if the fidelity is lower than the set fidelity, determining that the second state of the quantum device does not meet the second set state and is in an abnormal state, and determining the abnormal level, otherwise, if the fidelity is greater than or equal to the set fidelity, determining that the second state of the quantum device meets the second set state, and performing an experiment on the quantum device by using a target monitoring experiment to further determine the state of the quantum device.
The operation state of the quantum equipment is analyzed through multiple dimensions (task operation results, operation parameters and experiment results), so that the accuracy of quantum equipment state judgment can be effectively guaranteed, operation and maintenance personnel are timely informed when the quantum equipment is abnormal, and the influence on the quantum equipment in the process of processing user tasks is reduced.
In some optional implementations, the determining an abnormality level according to the operation state of the quantum device includes:
if the running state of the quantum equipment is the unavailable state, determining that the abnormal grade is a serious grade;
and if the running state of the quantum equipment is the available state, extracting the current fidelity from the task running result, and determining the abnormal grade according to the comparison result of the current fidelity and the preset fidelity.
In the present embodiment, the manner of calculating the current fidelity may be Quantum State Tomography (QST), quantum Process Tomography (QPT), etc., and is not limited in particular.
Taking a single-bit gate as an example, the fidelity of the single-bit gate is generally 99.9%; in practical application, a preset fidelity (e.g., 95%) can be set according to practical requirements, that is, in practical application, when the fidelity of the single-bit gate is less than or equal to the preset fidelity, it is determined that the quantum device needs 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 this embodiment, the early warning manner includes a mail notification, a short message notification, a telephone notification, and the like; in practical application, the early warning mode corresponding to the abnormal grade can be determined according to the response speed of different notifications, and if the abnormal grade is the first grade, the notification is carried out by a telephone; if the abnormal grade is the second grade, the information is notified by a short message; if the three-level abnormity level is three levels, the notice is carried out by a mail.
In some optional implementations, the step of outputting the abnormality level and the monitoring analysis result according to the early warning manner includes:
and when the abnormal grade meets a preset grade, determining a pre-warning target output time period according to the load state of the quantum equipment, and outputting the abnormal grade and the monitoring analysis result in the pre-warning target output time period.
In this embodiment, by setting a target output time period for early warning, the abnormal level and the monitoring and analyzing result can be timely sent to operation and maintenance personnel, so that the situation that the actual state and the target state (such as the optimal state) of the quantum device deviate greatly is avoided, and the influence on the quantum device in processing the user task is reduced.
In some optional implementations, the step of outputting the abnormality level and the monitoring analysis result according to the early warning manner 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 this embodiment, the early warning response time is characterized in that the personnel needing operation and maintenance respond within a set time; in practical application, different early warning response times can be corresponded according to different abnormal grades, for example, compared with a second-level abnormal grade, the early warning response time is shortest in the first-level abnormal grade, and the early warning response time is longest in the third-level abnormal grade.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a 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, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
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 this embodiment includes: the system comprises a control module 301, a monitoring module 302, a data analysis module 303 and an early warning module 304, wherein 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 acquire operation parameters, device parameters, and service types of the quantum devices in the quantum cloud platform, and is configured to receive an experiment instruction sent by the control module 301 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, and analyze an operation parameter, an equipment parameter, and a service type of the quantum equipment; 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 dedicated service type, after an experimental time that the load state in the quantum device is a preset state is predicted through a prediction model, when the experimental time is reached, the load state of the quantum device is obtained; and when the load state of the quantum equipment is a preset state, determining a target monitoring experiment according to the equipment parameters, and monitoring and analyzing the quantum equipment according to the operation parameters and the target monitoring experiment to obtain a monitoring and analyzing result.
And the early warning module 304 is configured to receive an early warning instruction sent by the control module 301, determine an early warning mode according to the abnormal level, and output the abnormal level and the monitoring analysis result according to the early warning mode.
Different modes of confirming quantum equipment load state are adopted to different service types in this application, and carry out the abnormal analysis experiment when load state is for predetermineeing the state, in order to promote monitoring analysis efficiency and rate of accuracy like this, the occupation of the qubit of reduction, after obtaining the monitoring analysis result, the user can know the current state of each quantum equipment on the quantum cloud platform according to the monitoring analysis result, if quantum equipment breaks down, when damaging, also can in time react and maintain, reduce the harm that causes quantum equipment.
In some optional implementations, the data analysis module 303 is further configured to perform the following steps:
extracting the device identification and the device characteristic information of the quantum device from the device 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 optional implementations, the data analysis module 303 is further configured to perform the following steps:
and when the index identification is a nuclear magnetic identification, judging whether the lock field voltage in the operation parameter meets a preset threshold value, and if the lock field voltage in the operation parameter meets the preset threshold value, determining that the target monitoring experiment is a random benchmark 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 or a Ramsey experiment according to the equipment characteristic information.
In some optional 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 device meets the first set state, acquiring a task operation result in a target operation time period, and determining a second state of the quantum device 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 operation state of the quantum equipment according to the experimental result of the target monitoring experiment, and determining an abnormal grade according to the operation state of the quantum equipment;
and taking the abnormal grade as the monitoring analysis result.
In some optional implementations, the data analysis module 303 is further configured to perform the following steps:
if the running state of the quantum equipment is the unavailable state, determining that the abnormal grade is a serious grade;
and if the running state of the quantum equipment is the available state, extracting the current fidelity from the task running result, and determining the abnormal grade according to the comparison result of the current fidelity and the preset fidelity.
In some optional implementations, the aforementioned early warning module 304 is further configured to perform the following steps:
and 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 within the target output time period of early warning.
In some optional implementations, the early 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 problem, the embodiment of the application further provides computer equipment. Referring to fig. 5, fig. 5 is a block diagram of a basic structure 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 is noted that only computer device 4 having components 41-43 is shown, but it is understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead. As will be understood by those skilled in the art, the computer device is a device capable of automatically performing numerical calculation and/or information processing according to instructions set or stored in advance, and the hardware thereof includes but is not limited to a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a 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 carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.
The memory 41 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 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 Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the computer device 4. Of course, the memory 41 may also include both internal and external storage devices of the computer device 4. In this embodiment, the memory 41 is generally used to store an operating system installed in the computer device 4 and various types of application software, for example, program codes of a quantum device monitoring method of a quantum cloud platform, and the like. Further, the memory 41 may also 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 (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 the program code stored in the memory 41 or process data, for example, execute the program code of the quantum device monitoring method of the quantum cloud platform.
The network interface 43 may comprise a wireless network interface or a wired network interface, and the network interface 43 is generally used for establishing a communication connection between the computer device 4 and other electronic devices.
Different modes of confirming quantum equipment load state are adopted to different service types in this application, and carry out the abnormal analysis experiment when load state is for predetermineeing the state, in order to promote monitoring analysis efficiency and rate of accuracy like this, the occupation of the qubit of reduction, after obtaining the monitoring analysis result, the user can know the current state of each quantum equipment on the quantum cloud platform according to the monitoring analysis result, if quantum equipment breaks down, when damaging, also can in time react and maintain, reduce the harm that causes quantum equipment.
The present application further provides another embodiment, that is, a computer-readable storage medium is provided, where the computer-readable storage medium stores a quantum cloud platform quantum device monitoring program, and the quantum cloud platform quantum device monitoring program is executable by at least one processor, so that the at least one processor executes the steps of the quantum cloud platform quantum device monitoring method as described above.
Different modes of confirming quantum equipment load state are adopted to different service types in this application, and carry out the abnormal analysis experiment when the load state is for predetermineeing the state, in order to promote monitoring analysis efficiency and rate of accuracy like this, the occupation of the quantum bit that reduces, after obtaining monitoring analysis result, the user can know the current state of each quantum equipment on the quantum cloud platform according to monitoring analysis result, if quantum equipment breaks down, when damaging, also can in time react and maintain, reduce the harm that causes quantum equipment.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (such as a ROM/RAM, a magnetic disk, and an optical disk), and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
It should be understood that the above-described embodiments are merely exemplary of some, and not all, embodiments of the present application, and that the drawings illustrate preferred embodiments of the present application without limiting the scope of the claims appended hereto. This application is capable of embodiments in many different forms and the embodiments are provided so that this disclosure will be thorough and complete. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.
Claims (10)
1. The quantum cloud platform quantum device monitoring method is characterized by comprising the following steps:
obtaining 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 the exclusive service type, after the experimental time that the load state in the quantum equipment is in the preset state is predicted through a prediction model, when the experimental time is reached, the load state of the quantum equipment is obtained;
and when the load state of the quantum equipment is a preset state, determining a target monitoring experiment according to the equipment parameters, and monitoring and analyzing the quantum equipment according to the operation parameters and the target monitoring experiment to obtain a monitoring and analyzing 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 parameters comprises:
extracting the device identification and the device characteristic information of the quantum device from the device 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,
when the index identifier is a nuclear magnetic identifier, judging whether the lock field voltage in the operation parameter meets a preset threshold value, and if the lock field voltage in the operation parameter meets the preset threshold value, determining that a target monitoring experiment is a random benchmark 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 ratio (Rabi) oscillation experiment and a Ramsey experiment according to the equipment characteristic information.
4. The quantum cloud platform quantum device monitoring method of any one of claims 1 to 3, wherein the step of performing monitoring analysis on the quantum device according to the operating parameters and the target monitoring experiment to obtain monitoring analysis results 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 device meets the first set state, acquiring a task operation result in a target operation time period, and determining a second state of the quantum device 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 operation state of the quantum equipment according to the experimental result of the target monitoring experiment, and determining an abnormal grade according to the operation state of the quantum equipment;
and taking the abnormity 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 according to the operating state of the quantum device comprises:
if the running state of the quantum equipment is the unavailable state, determining that the abnormal grade is a serious grade;
and if the running state of the quantum equipment is the available state, extracting the current fidelity from the task running result, and determining the 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 monitoring analysis results:
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 of claim 6, wherein the step of outputting the anomaly level and the monitoring analysis result according to the early warning manner comprises:
when the abnormal grade meets a preset grade, determining a pre-warning target output time period according to the load state of the quantum equipment, and outputting the abnormal grade and the monitoring analysis result in the pre-warning target output time period;
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 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 platform when the service type is a shared service type; or, when the service type is a dedicated service type, after an experimental time that the load state in the quantum device is a preset state is predicted through a prediction model, when the experimental time is reached, the load state of the quantum device is obtained; when the load state of the quantum equipment is a preset state, determining a target monitoring experiment according to the equipment parameters, and carrying out monitoring analysis on the quantum equipment according to the operation parameters and the target monitoring experiment to obtain a monitoring analysis result;
and the early warning module is used for sending the abnormal grade of the quantum equipment and a monitoring analysis result to an operation and maintenance personnel end.
9. Computer device comprising a memory in which a computer program is stored and a processor which, when executing the computer program, carries out the steps of the quantum cloud platform quantum device monitoring method of any one of claims 1 to 7.
10. Computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when being executed by a processor, realizes the steps of the quantum cloud platform quantum device monitoring method according to any one of claims 1 to 7.
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