WO2022236993A1 - Distributed monitoring and scheduling method for quantum computer cluster - Google Patents

Distributed monitoring and scheduling method for quantum computer cluster Download PDF

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WO2022236993A1
WO2022236993A1 PCT/CN2021/112477 CN2021112477W WO2022236993A1 WO 2022236993 A1 WO2022236993 A1 WO 2022236993A1 CN 2021112477 W CN2021112477 W CN 2021112477W WO 2022236993 A1 WO2022236993 A1 WO 2022236993A1
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task
execution node
experimental
quantum
scheduling
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李彦祯
刘幼航
刘强
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山东浪潮科学研究院有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication
    • G06F9/546—Message passing systems or structures, e.g. queues
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication
    • G06F9/547—Remote procedure calls [RPC]; Web services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning

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  • the invention relates to the technical field of quantum computing, in particular to a distributed monitoring and dispatching method for a quantum computer cluster.
  • quantum computing can achieve parallel computing, and the computing speed will be greatly improved.
  • speed of quantum computing will increase exponentially with the increase in the number of experimentally manipulated entangled bits. Therefore, future quantum computers can be applied to difficult scientific problems that require large-scale calculations. Distributed cluster computing for quantum computers is also imperative.
  • quantum computing tasks are mainly single-threaded running tasks on a single machine.
  • the processing of a single machine may be relatively heavy.
  • the present invention provides a method for realizing distributed task scheduling through the XMLRPC protocol, realizing real-time monitoring of quantum computer states, and improving the execution efficiency of quantum experimental tasks.
  • a distributed monitoring and dispatching method for a quantum computer cluster comprising:
  • a) Deploy a task execution node on the upper computer of each quantum computer, the task execution node runs an XMLRPC server, and establishes a server rpcserver based on the XMLRPC mechanism;
  • monitor and dispatch module is set, and several client rpcclients based on XMLRPC mechanism are set in the monitor and dispatch module, and each client rpcclient of the monitor and dispatch module establishes a connection with the corresponding server rpcserver;
  • Each task execution node provides the running status of the node, the operation of the experimental task, and the query service interface of the experimental task result;
  • the scheduling server monitors the experimental task data table to be run in the database through the monitoring scheduling module. If there is a new task to be run, the distributed manager module sends the task information to the idle task execution node through the XMLRPC mechanism;
  • the task execution node After the task execution node accepts the task information to be run, it executes the local measurement and control interface to run the experimental task, caches the running results in the local database, and modifies the status of the task execution node to be idle;
  • the monitoring and scheduling module regularly polls the running result information of the task execution node. When the running result information is obtained, it saves the running result in the experimental task data table in the database according to the task ID, and the scheduling server continues to monitor the running results in the database. Data updates for the experimental mission data table.
  • each task execution node is connected to the execution node server, and the execution node server implements cluster deployment for each execution node.
  • a monitoring and scheduling module is set on a computer, and the computer accesses each server rpcserver through the local client rpcclient.
  • step d) the user saves the quantum experiment information to be executed into the task data table of the database through the cloud platform or client software, and the task data table includes the experimental task ID, experimental task content information, and queue status information.
  • the beneficial effect of the present invention is: the user saves the quantum experiment information to be executed in the task data table of the back-end database through the cloud platform or the client software, and the task table includes the experimental task ID, the specific content of the experimental task, and the queuing status.
  • the main function of the queue management server is to regularly query the new tasks in the quantum experiment task table, and send the new tasks to the idle quantum computer nodes through the XMLRPC protocol according to the submission time and priority.
  • the task execution nodes are deployed on the upper computers of multiple quantum computers, and the distributed monitoring and scheduling management is realized through the communication mode of the XMLRPC protocol. Through the XMLRPC transmission mechanism based on the http protocol, the commands and data are transmitted in the form of xml text.
  • the distributed monitoring and scheduling method of quantum computer clusters mainly stores quantum experiment information persistently through relational databases, realizes distributed task scheduling through XMLRPC protocol, realizes real-time monitoring of quantum computer status, and greatly improves the execution of quantum experiment tasks efficiency.
  • Fig. 1 is a flowchart of the distributed monitoring and dispatching of quantum computer clusters in the present invention.
  • a distributed monitoring and dispatching method for a quantum computer cluster comprising:
  • a) Deploy a task execution node on the upper computer of each quantum computer, and the task execution node runs an XMLRPC server, and establishes a server rpcserver based on the XMLRPC mechanism.
  • rpcclient finds the rpcserver according to the URL -> constructs a command package, calls a certain method of a service on the rpcserver -> receives the return from the rpcserver, parses the response package, and takes out the returned result of the call.
  • the working principle of the server-side rpcserver start a webserver-> register each service that can be provided, and each service corresponds to a Handler class-> enter the service monitoring state.
  • Each task execution node provides the service interface for the running status of the node, the running of the experimental task, and the query of the experimental task result.
  • the scheduling server monitors the experimental task data table to be run in the database through the monitoring scheduling module. If there is a new task to be run, the distributed manager module sends the task information to the idle task execution node through the XMLRPC mechanism.
  • the task execution node After the task execution node receives the task information to be run, it executes the local measurement and control interface to run the experimental task, caches the running results in the local database, and modifies the status of the task execution node to be idle.
  • the monitoring and scheduling module regularly polls the running result information of the task execution node. When the running result information is obtained, it saves the running result in the experimental task data table in the database according to the task ID, and the scheduling server continues to monitor the running results in the database. Data updates for the experimental mission data table.
  • the user saves the quantum experiment information to be executed in the task data table of the back-end database through the cloud platform or client software.
  • the task table includes the experimental task ID, the specific content of the experimental task, and the queue status.
  • the main function of the queue management server is to regularly query the new tasks in the quantum experiment task table, and send the new tasks to the idle quantum computer nodes through the XMLRPC protocol according to the submission time and priority.
  • the task execution nodes are deployed on the upper computers of multiple quantum computers, and the distributed monitoring and scheduling management is realized through the communication mode of the XMLRPC protocol. Through the XMLRPC transmission mechanism based on the http protocol, the commands and data are transmitted in the form of xml text.
  • the distributed monitoring and scheduling method of quantum computer clusters mainly stores quantum experiment information persistently through relational databases, realizes distributed task scheduling through XMLRPC protocol, realizes real-time monitoring of quantum computer status, and greatly improves the execution of quantum experiment tasks efficiency.
  • each task execution node is connected to the execution node server, and the execution node server performs cluster deployment for each execution node.
  • step b) the monitoring and dispatching module is set on a computer, and the computer accesses each server rpcserver through the local client rpcclient.
  • step d) the user saves the quantum experiment information to be executed in the task data table of the database through the cloud platform or client software, and the task data table includes the experimental task ID, experimental task content information, and queuing status information.

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Abstract

A distributed monitoring and scheduling method for a quantum computer cluster: a task execution node is deployed on an upper computer of multiple quantum computers, and implements distributed monitoring and scheduling management by means of a communication mode of an XMLRPC protocol. By means of an http protocol-based XMLRPC transmission mechanism, xml text is used to transfer commands and data. In the distributed monitoring and scheduling method for a quantum computer cluster, quantum experiment information is persistently stored by means of a relational database, distributed task scheduling is achieved by means of the XMLRPC protocol, the states of quantum computers are monitored in real time, and the execution efficiency of quantum experiment tasks is increased to a great extent.

Description

一种量子计算机集群分布式监控调度方法A Distributed Monitoring and Scheduling Method for Quantum Computer Clusters 技术领域technical field
本发明涉及量子计算技术领域，具体涉及一种量子计算机集群分布式监控调度方法。The invention relates to the technical field of quantum computing, in particular to a distributed monitoring and dispatching method for a quantum computer cluster.
背景技术Background technique
量子计算对数据的处理可以实现运算的并行，运算速度会大大提高，同时，量子计算的速度会随着实验可操纵的纠缠比特数的增加而呈指数级提升。因此，未来量子计算机可应用于需要大规模计算的科学难题。针对量子计算机的分布式集群计算也是势在必行。The processing of data by quantum computing can achieve parallel computing, and the computing speed will be greatly improved. At the same time, the speed of quantum computing will increase exponentially with the increase in the number of experimentally manipulated entangled bits. Therefore, future quantum computers can be applied to difficult scientific problems that require large-scale calculations. Distributed cluster computing for quantum computers is also imperative.
目前量子计算任务主要是单台机器上的单线程运行任务，对于大量的实验任务处理，单台机器的处理可能比较繁重。At present, quantum computing tasks are mainly single-threaded running tasks on a single machine. For the processing of a large number of experimental tasks, the processing of a single machine may be relatively heavy.
发明内容Contents of the invention
本发明为了克服以上技术的不足，提供了一种通过XMLRPC协议实现分布式的任务调度，实现量子计算机状态的实时监控，提高了量子实验任务的执行效率的方法。In order to overcome the shortcomings of the above technologies, the present invention provides a method for realizing distributed task scheduling through the XMLRPC protocol, realizing real-time monitoring of quantum computer states, and improving the execution efficiency of quantum experimental tasks.
本发明克服其技术问题所采用的技术方案是：The technical scheme that the present invention overcomes its technical problem adopts is:
一种量子计算机集群分布式监控调度方法，包括：A distributed monitoring and dispatching method for a quantum computer cluster, comprising:
a)在每一个量子计算机的上位机上均部署一个任务执行节点，任务执行节点运行一个XMLRPC server，建立基于XMLRPC机制的服务端rpcserver；a) Deploy a task execution node on the upper computer of each quantum computer, the task execution node runs an XMLRPC server, and establishes a server rpcserver based on the XMLRPC mechanism;
b)设置监控调度模块，在监控调度模块里面设置若干基于XMLRPC机制的客户端rpcclient，监控调度模块的每个客户端rpcclient与对应的服务端rpcserver建立连接；b) monitor and dispatch module is set, and several client rpcclients based on XMLRPC mechanism are set in the monitor and dispatch module, and each client rpcclient of the monitor and dispatch module establishes a connection with the corresponding server rpcserver;
c)每个任务执行节点分别提供本节点运行状态、实验任务运行、实验任务结果查询服务接口；c) Each task execution node provides the running status of the node, the operation of the experimental task, and the query service interface of the experimental task result;
d)调度服务器通过监控调度模块监控数据库中的待运行实验任务数据表，如果有新的待运行任务，则分布式管理器模块通过XMLRPC机制将任务信息发送到空闲的任务执行节点上；d) the scheduling server monitors the experimental task data table to be run in the database through the monitoring scheduling module. If there is a new task to be run, the distributed manager module sends the task information to the idle task execution node through the XMLRPC mechanism;
e)任务执行节点接受待运行的任务信息后，执行本地测控接口运行实验任务，将运行结果缓存到本机数据库中，修改本任务执行节点状态为空闲状态；e) After the task execution node accepts the task information to be run, it executes the local measurement and control interface to run the experimental task, caches the running results in the local database, and modifies the status of the task execution node to be idle;
f)监控调度模块定时轮询任务执行节点的运行结果信息，当获取到运行结果信息后，根据任务ID将运行结果保存到数据库中的实验任务数据表中，调度服务器继续监控数据库中的待运行实验任务数据表的数据更新。f) The monitoring and scheduling module regularly polls the running result information of the task execution node. When the running result information is obtained, it saves the running result in the experimental task data table in the database according to the task ID, and the scheduling server continues to monitor the running results in the database. Data updates for the experimental mission data table.
进一步的，步骤a)中各个任务执行节点通过连接于执行节点服务器，执行节点服务器对各个执行节点进行集群部署。Further, in step a), each task execution node is connected to the execution node server, and the execution node server implements cluster deployment for each execution node.
进一步的，步骤b)中在一台计算机上设置监控调度模块，该计算机通过本地客户端rpcclient访问每个服务端rpcserver。Further, in step b), a monitoring and scheduling module is set on a computer, and the computer accesses each server rpcserver through the local client rpcclient.
进一步的，步骤d)中用户通过云平台或客户端软件将要执行的量子实验信息保存到数据库的任务数据表中，任务数据表包含实验任务ID、实验任务内容信息、排队状态信息。Further, in step d), the user saves the quantum experiment information to be executed into the task data table of the database through the cloud platform or client software, and the task data table includes the experimental task ID, experimental task content information, and queue status information.
本发明的有益效果是：用户通过云平台或者客户端软件把要执行的量子实验信息保存到后端数据库的任务数据表中，任务表包含实验任务ID,实验任务具体内容，排队状态等。队列管理服务器主要的功能是定期查询量子实验任务表中新增的任务，把新增任务根据提交时间和优先级通过XMLRPC协议分别发送到空闲的量子计算机节点上。任务执行节点部署到多台量子计算机的上位机上，通过XMLRPC协议的通讯方式实现分布式监控调度管理。通过基于http协议的XMLRPC传输机制，使用xml文本的方式传输命令和数据。量子计算机集群分布式监控调度方法主要是通过关系型数据库持久化存储量子实验信息，通过XMLRPC协议实现分布式的任务调度，实现量子计算机状态的实时监控，很大程度上提高了量子实验任务的执行效率。The beneficial effect of the present invention is: the user saves the quantum experiment information to be executed in the task data table of the back-end database through the cloud platform or the client software, and the task table includes the experimental task ID, the specific content of the experimental task, and the queuing status. The main function of the queue management server is to regularly query the new tasks in the quantum experiment task table, and send the new tasks to the idle quantum computer nodes through the XMLRPC protocol according to the submission time and priority. The task execution nodes are deployed on the upper computers of multiple quantum computers, and the distributed monitoring and scheduling management is realized through the communication mode of the XMLRPC protocol. Through the XMLRPC transmission mechanism based on the http protocol, the commands and data are transmitted in the form of xml text. The distributed monitoring and scheduling method of quantum computer clusters mainly stores quantum experiment information persistently through relational databases, realizes distributed task scheduling through XMLRPC protocol, realizes real-time monitoring of quantum computer status, and greatly improves the execution of quantum experiment tasks efficiency.
附图说明Description of drawings
图1为本发明的量子计算机集群分布式监控调度流程图。Fig. 1 is a flowchart of the distributed monitoring and dispatching of quantum computer clusters in the present invention.
具体实施方式Detailed ways
下面结合附图1对本发明做进一步说明。The present invention will be further described below in conjunction with accompanying drawing 1.
一种量子计算机集群分布式监控调度方法，包括：A distributed monitoring and dispatching method for a quantum computer cluster, comprising:
a)在每一个量子计算机的上位机上均部署一个任务执行节点，任务执行节点运行一个XMLRPC server，建立基于XMLRPC机制的服务端rpcserver。a) Deploy a task execution node on the upper computer of each quantum computer, and the task execution node runs an XMLRPC server, and establishes a server rpcserver based on the XMLRPC mechanism.
b)设置监控调度模块，在监控调度模块里面设置若干基于XMLRPC机制的客户端rpcclient，监控调度模块的每个客户端rpcclient与对应的服务端rpcserver建立连接。客户端rpcclient的工作原理是：rpcclient根据URL找到rpcserver->构造命令包，调用rpcserver上的某个服务的某个方法->接收到rpcserver的返回,解析响应包，拿出调用的返回结果。服务端rpcserver的工作原理:启动一个webserver->注册每个能提供的服务，每个服务对应一个Handler类->进入服务监听状态。b) Set up the monitoring and dispatching module, set several client rpcclients based on the XMLRPC mechanism in the monitoring and dispatching module, and each client rpcclient of the monitoring and dispatching module establishes a connection with the corresponding server rpcserver. The working principle of the client rpcclient is: rpcclient finds the rpcserver according to the URL -> constructs a command package, calls a certain method of a service on the rpcserver -> receives the return from the rpcserver, parses the response package, and takes out the returned result of the call. The working principle of the server-side rpcserver: start a webserver-> register each service that can be provided, and each service corresponds to a Handler class-> enter the service monitoring state.
c)每个任务执行节点分别提供本节点运行状态、实验任务运行、实验任务结果查询服务接口。c) Each task execution node provides the service interface for the running status of the node, the running of the experimental task, and the query of the experimental task result.
d)调度服务器通过监控调度模块监控数据库中的待运行实验任务数据表，如果有新的待运行 任务，则分布式管理器模块通过XMLRPC机制将任务信息发送到空闲的任务执行节点上。d) The scheduling server monitors the experimental task data table to be run in the database through the monitoring scheduling module. If there is a new task to be run, the distributed manager module sends the task information to the idle task execution node through the XMLRPC mechanism.
e)任务执行节点接受待运行的任务信息后，执行本地测控接口运行实验任务，将运行结果缓存到本机数据库中，修改本任务执行节点状态为空闲状态。e) After the task execution node receives the task information to be run, it executes the local measurement and control interface to run the experimental task, caches the running results in the local database, and modifies the status of the task execution node to be idle.
f)监控调度模块定时轮询任务执行节点的运行结果信息，当获取到运行结果信息后，根据任务ID将运行结果保存到数据库中的实验任务数据表中，调度服务器继续监控数据库中的待运行实验任务数据表的数据更新。f) The monitoring and scheduling module regularly polls the running result information of the task execution node. When the running result information is obtained, it saves the running result in the experimental task data table in the database according to the task ID, and the scheduling server continues to monitor the running results in the database. Data updates for the experimental mission data table.
用户通过云平台或者客户端软件把要执行的量子实验信息保存到后端数据库的任务数据表中，任务表包含实验任务ID,实验任务具体内容，排队状态等。队列管理服务器主要的功能是定期查询量子实验任务表中新增的任务，把新增任务根据提交时间和优先级通过XMLRPC协议分别发送到空闲的量子计算机节点上。任务执行节点部署到多台量子计算机的上位机上，通过XMLRPC协议的通讯方式实现分布式监控调度管理。通过基于http协议的XMLRPC传输机制，使用xml文本的方式传输命令和数据。量子计算机集群分布式监控调度方法主要是通过关系型数据库持久化存储量子实验信息，通过XMLRPC协议实现分布式的任务调度，实现量子计算机状态的实时监控，很大程度上提高了量子实验任务的执行效率。The user saves the quantum experiment information to be executed in the task data table of the back-end database through the cloud platform or client software. The task table includes the experimental task ID, the specific content of the experimental task, and the queue status. The main function of the queue management server is to regularly query the new tasks in the quantum experiment task table, and send the new tasks to the idle quantum computer nodes through the XMLRPC protocol according to the submission time and priority. The task execution nodes are deployed on the upper computers of multiple quantum computers, and the distributed monitoring and scheduling management is realized through the communication mode of the XMLRPC protocol. Through the XMLRPC transmission mechanism based on the http protocol, the commands and data are transmitted in the form of xml text. The distributed monitoring and scheduling method of quantum computer clusters mainly stores quantum experiment information persistently through relational databases, realizes distributed task scheduling through XMLRPC protocol, realizes real-time monitoring of quantum computer status, and greatly improves the execution of quantum experiment tasks efficiency.
实施例1：Example 1:
步骤a)中各个任务执行节点通过连接于执行节点服务器，执行节点服务器对各个执行节点进行集群部署。In step a), each task execution node is connected to the execution node server, and the execution node server performs cluster deployment for each execution node.
实施例2：Example 2:
步骤b)中在一台计算机上设置监控调度模块，该计算机通过本地客户端rpcclient访问每个服务端rpcserver。In step b), the monitoring and dispatching module is set on a computer, and the computer accesses each server rpcserver through the local client rpcclient.
实施例3：Example 3:
步骤d)中用户通过云平台或客户端软件将要执行的量子实验信息保存到数据库的任务数据表中，任务数据表包含实验任务ID、实验任务内容信息、排队状态信息。In step d), the user saves the quantum experiment information to be executed in the task data table of the database through the cloud platform or client software, and the task data table includes the experimental task ID, experimental task content information, and queuing status information.
最后应说明的是：以上所述仅为本发明的优选实施例而已，并不用于限制本发明，尽管参照前述实施例对本发明进行了详细的说明，对于本领域的技术人员来说，其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。Finally, it should be noted that: the above is only a preferred embodiment of the present invention, and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, it still The technical solutions recorded in the foregoing embodiments may be modified, or some technical features thereof may be equivalently replaced. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (4)

  1. 一种量子计算机集群分布式监控调度方法，其特征在于，包括：A distributed monitoring and dispatching method for a quantum computer cluster, characterized in that it includes:
    a)在每一个量子计算机的上位机上均部署一个任务执行节点，任务执行节点运行一个XMLRPC server，建立基于XMLRPC机制的服务端rpcserver；a) Deploy a task execution node on the upper computer of each quantum computer, the task execution node runs an XMLRPC server, and establishes a server rpcserver based on the XMLRPC mechanism;
    b)设置监控调度模块，在监控调度模块里面设置若干基于XMLRPC机制的客户端rpcclient，监控调度模块的每个客户端rpcclient与对应的服务端rpcserver建立连接；b) monitor and dispatch module is set, and several client rpcclients based on XMLRPC mechanism are set in the monitor and dispatch module, and each client rpcclient of the monitor and dispatch module establishes a connection with the corresponding server rpcserver;
    c)每个任务执行节点分别提供本节点运行状态、实验任务运行、实验任务结果查询服务接口；c) Each task execution node provides the running status of the node, the operation of the experimental task, and the query service interface of the experimental task result;
    d)调度服务器通过监控调度模块监控数据库中的待运行实验任务数据表，如果有新的待运行任务，则分布式管理器模块通过XMLRPC机制将任务信息发送到空闲的任务执行节点上；d) the scheduling server monitors the experimental task data table to be run in the database through the monitoring scheduling module. If there is a new task to be run, the distributed manager module sends the task information to the idle task execution node through the XMLRPC mechanism;
    e)任务执行节点接受待运行的任务信息后，执行本地测控接口运行实验任务，将运行结果缓存到本机数据库中，修改本任务执行节点状态为空闲状态；e) After the task execution node accepts the task information to be run, it executes the local measurement and control interface to run the experimental task, caches the running results in the local database, and modifies the status of the task execution node to be idle;
    f)监控调度模块定时轮询任务执行节点的运行结果信息，当获取到运行结果信息后，根据任务ID将运行结果保存到数据库中的实验任务数据表中，调度服务器继续监控数据库中的待运行实验任务数据表的数据更新。f) The monitoring and scheduling module regularly polls the running result information of the task execution node. When the running result information is obtained, it saves the running result in the experimental task data table in the database according to the task ID, and the scheduling server continues to monitor the running results in the database. Data updates for the experimental mission data table.
  2. 根据权利要求1所述的量子计算机集群分布式监控调度方法，其特征在于：步骤a)中各个任务执行节点通过连接于执行节点服务器，执行节点服务器对各个执行节点进行集群部署。The quantum computer cluster distributed monitoring and scheduling method according to claim 1, characterized in that: in step a), each task execution node is connected to an execution node server, and the execution node server performs cluster deployment for each execution node.
  3. 根据权利要求1所述的量子计算机集群分布式监控调度方法，其特征在于：步骤b)中在一台计算机上设置监控调度模块，该计算机通过本地客户端rpcclient访问每个服务端rpcserver。The quantum computer cluster distributed monitoring and scheduling method according to claim 1, characterized in that: in step b), a monitoring and scheduling module is set on a computer, and the computer accesses each server rpcserver through a local client rpcclient.
  4. 根据权利要求1所述的量子计算机集群分布式监控调度方法，其特征在于：步骤d)中用户通过云平台或客户端软件将要执行的量子实验信息保存到数据库的任务数据表中，任务数据表包含实验任务ID、实验任务内容信息、排队状态信息。The quantum computer cluster distributed monitoring and scheduling method according to claim 1, characterized in that: in step d), the user saves the quantum experiment information to be executed in the task data table of the database through the cloud platform or client software, and the task data table Contains the experimental task ID, experimental task content information, and queuing status information.
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