CN114186693A - Scheduling method, system and device of quantum operating system and computer medium - Google Patents
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Abstract
The invention relates to the field of quantum computers, and particularly provides a scheduling method of a quantum operating system, which comprises the following steps: s1, logging in a quantum cloud platform by a user, selecting and programming to generate task instruction data; s2, storing and sorting the data through a relational database; s3, carrying out scheduling management through K8S; s4, packaging the scheduling program into a DOKER and starting operation in a POD mode; s5, encapsulating the quantum analog machine frame program into a DOKER to run in a quantum operating system in a POD mode; s6, completing the bit scheduling calibration optimization operation of the Quantum true machine in a quantum bit calibration optimization allocation mode; and S7, the performance of the operating system is improved by combining the quantum classical service scheduling and the quantum bit service scheduling. Compared with the prior art, the invention effectively improves the resource utilization rate of the quantum computer, fully utilizes the quantum computer and saves the construction cost of infrastructure.
Description
Technical Field
The invention relates to the field of quantum computers, and particularly provides a scheduling method, a scheduling system, a scheduling device and a scheduling computer medium for a quantum operating system.
Background
Quantum computers are physical devices that perform high-speed mathematical and logical operations, store and process quantum information in compliance with the laws of quantum mechanics. The quantum computer is characterized by high running speed, strong information processing capability, wide application range and the like.
Compared with a common computer, the quantum computer has more information processing amount and is more beneficial to the implementation of operation of the quantum computer, but the resource utilization rate of the quantum computer in the prior art is not high, so that the infrastructure is not fully utilized.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a scheduling method of a quantum operating system with strong practicability.
The invention further aims to provide a scheduling system of the quantum operating system, which is reasonable in design, safe and applicable.
The technical task of the third aspect of the invention is to provide a scheduling device of a quantum operating system.
The technical task of the fourth aspect is to provide a computer medium for scheduling of quantum operating systems.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a scheduling method of a quantum operating system comprises the following steps:
s1, logging in a quantum cloud platform by a user, selecting and programming to generate task instruction data;
s2, storing and sorting the data through a relational database;
s3, carrying out scheduling management through K8S;
s4, packaging the scheduling program into a DOKER and starting operation in a POD mode;
s5, encapsulating the quantum analog machine frame program into a DOKER to run in a quantum operating system in a POD mode;
s6, completing the bit scheduling calibration optimization operation of the Quantum true machine in a quantum bit calibration optimization allocation mode;
and S7, the performance of the operating system is improved by combining the quantum classical service scheduling and the quantum bit service scheduling.
Further, in step S1, the user logs in the quantum cloud platform, selects a quantum real machine or a simulation machine, and performs programming through a quantum cloud visualization and language programming framework to generate task instruction data recognized by the quantum computer or the simulation machine.
Further, in step S2, all the quantum tasks and the related data are stored and sorted by the relational database, and the schedulers of the quantum fax machine and the simulator perform scheduling management through K8S in step S3.
Preferably, in step S4, the scheduler encapsulates into a DOCKER and starts to operate in POD mode, and the resource management and scheduling are unified by K8S for resource management and allocation.
Further, in step S7, the bit scheduling calibration optimization of the quantum real machine automatically completes the comparison calibration optimization in an artificial intelligence machine learning manner, and the performance of the operating system is improved by combining the quantum classical service scheduling and the quantum bit service scheduling.
A scheduling system of a quantum operating system comprises quantum real machine resource management and distributed scheduling, quantum analog machine resource management and distributed scheduling and quantum bit calibration optimization scheduling, wherein a quantum real machine or an analog machine is selected to generate task instruction data, the data are stored and sorted through a relational database, scheduling management is performed through K8S, a scheduling program is packaged into a DOCKER and is started to run in a POD mode, a quantum analog machine frame program is also packaged into the DOCKER and runs in the quantum operating system in the POD mode, the bit scheduling calibration optimization operation of the quantum real machine is completed in a quantum bit calibration optimization distribution mode, the combination of classical quantum service scheduling and quantum bit service scheduling is realized, and the performance of the operating system is improved.
A scheduler of a quantum operating system, comprising: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is used for calling the machine readable program and executing a scheduling method of the quantum operating system.
A computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform a method of scheduling a quantum operating system.
Compared with the prior art, the scheduling method, the scheduling system, the scheduling device and the scheduling computer medium of the quantum operating system have the following outstanding advantages:
the invention effectively improves the resource utilization rate of the quantum computer, makes full use of the quantum computer and saves the construction cost of infrastructure.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a scheduling method of a quantum operating system.
Detailed Description
The present invention will be described in further detail with reference to specific embodiments in order to better understand the technical solutions of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A preferred embodiment is given below:
as shown in fig. 1, the scheduling method of a quantum operating system in this embodiment includes the following steps:
s1, a user logs in a quantum cloud platform, selects a quantum real machine or a simulation machine, and programs through a quantum cloud visualization and language programming framework to generate task instruction data recognized by the quantum computer or the simulation machine, wherein the task instruction data comprises a quantum gate and quantum operation.
And S2, storing and sorting all quantum tasks and related data through a relational database.
And S3, the Quantum fax machine, the simulation machine and the scheduling program are used for scheduling management through K8S. The dispatcher encapsulates the DOCKER and starts the operation in a POD mode, and the resource management and dispatching are unified by the K8S to perform the management and distribution of the resources.
S4, quantum simulator framework program is packaged into DOKER to run in quantum operation system in POD mode.
And S5, when the number of the running simulators is too large, the resources of the quantum simulators are increased and released uniformly by the K8S.
S6, because the quantum true machine is different from the traditional mode, the quantum scheduling process related to the true machine, the true machine resource management scheduling service can be managed through the traditional K8S service, but a series of operation scheduling of quantum measurement and control, board cards, chips and the like related in a quantum operating system needs special treatment, the bit scheduling calibration optimization operation of the quantum true machine is completed in a quantum bit calibration optimization distribution mode, and the bit scheduling calibration optimization operation of the quantum true machine is completed in a quantum bit calibration optimization distribution mode.
And S7, automatically completing comparison and calibration optimization by adopting an artificial intelligence machine learning mode in the bit scheduling and calibration optimization of the quantum true machine. The performance of an operating system is improved by combining quantum classical service scheduling and quantum bit service scheduling.
By the method, the resource utilization rate of the quantum computer is effectively improved, the quantum computer is fully utilized, and the infrastructure construction cost is saved.
According to the method, the scheduling system of the quantum operating system comprises quantum real machine resource management and distributed scheduling, quantum analog machine resource management and distributed scheduling and quantum bit calibration optimization scheduling, a quantum real machine or an analog machine is selected, task instruction data are generated, the data are stored and sorted through a relational database, scheduling management is performed through K8S, a scheduling program is packaged into a DOCKER and started to run in a POD mode, a frame program of the quantum analog machine is also packaged into a DOCKER and run in the quantum operating system in a POD mode, the bit scheduling calibration optimization operation of the quantum real machine is completed in a quantum bit calibration optimization distribution mode, the combination of quantum classical service scheduling and quantum bit service scheduling is realized, and the performance of the operating system is improved.
A scheduler of a quantum operating system, comprising: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is used for calling the machine readable program and executing a scheduling method of the quantum operating system.
A computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform a method of scheduling a quantum operating system.
The foregoing embodiments are merely exemplary of the present invention, and the scope of the present invention includes but is not limited to the foregoing embodiments, and any suitable changes or substitutions that may be made by one of ordinary skill in the art and in accordance with the method, system, apparatus and computer media claims for scheduling quantum operating systems of the present invention are intended to fall within the scope of the present invention.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A scheduling method of a quantum operating system is characterized by comprising the following steps:
s1, logging in a quantum cloud platform by a user, selecting and programming to generate task instruction data;
s2, storing and sorting the data through a relational database;
s3, carrying out scheduling management through K8S;
s4, packaging the scheduling program into a DOKER and starting operation in a POD mode;
s5, encapsulating the quantum analog machine frame program into a DOKER to run in a quantum operating system in a POD mode;
s6, completing the bit scheduling calibration optimization operation of the Quantum true machine in a quantum bit calibration optimization allocation mode;
and S7, the performance of the operating system is improved by combining the quantum classical service scheduling and the quantum bit service scheduling.
2. The scheduling method of a quantum operating system according to claim 1, wherein in step S1, a user logs in a quantum cloud platform, selects a quantum real machine or a simulator, and performs programming through a quantum cloud visualization and language programming framework to generate task instruction data recognized by a quantum computer or a simulator.
3. The scheduling method of quantum operating system of claim 2, wherein in step S2, all quantum tasks and related data are stored and sorted by relational database, and in step S3, the scheduler of quantum real machine and simulator is uniformly scheduled and managed by K8S.
4. The method as claimed in claim 3, wherein the scheduler encapsulates into a DOKER and starts running in POD mode at step S4, and the resource management and scheduling are unified by the management allocation of resources at K8S.
5. The scheduling method of a quantum operating system according to claim 4, wherein in step S7, the bit scheduling calibration optimization of the quantum true machine automatically completes the comparison calibration optimization in an artificial intelligence machine learning manner, and the performance of the operating system is improved by combining the quantum classical service scheduling and the quantum bit service scheduling.
6. A scheduling system of a quantum operating system is characterized by comprising quantum real machine resource management and distributed scheduling, quantum analog machine resource management and distributed scheduling and quantum bit calibration optimization scheduling, wherein a quantum real machine or an analog machine is selected to generate task instruction data, the data are stored and sorted through a relational database, scheduling management is performed through K8S, a scheduling program is packaged into a DOCKER and is started to run in a POD mode, a frame program of the quantum analog machine is also packaged into a DOCKER and runs in the quantum operating system in the POD mode, the bit scheduling calibration optimization operation of the quantum real machine is completed in a quantum bit calibration optimization distribution mode, the combination of quantum classical service scheduling and quantum bit service scheduling improves the performance of the operating system.
7. A scheduler of a quantum operating system, comprising: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor, configured to invoke the machine readable program, to perform the method of any of claims 1 to 5.
8. A computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1 to 5.
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| CN114968531A (en) * | 2022-06-02 | 2022-08-30 | 中国人民解放军国防科技大学 | Quantum cloud hybrid task scheduling method and device based on multi-fitness genetic optimization |
| CN115660095A (en) * | 2022-10-14 | 2023-01-31 | 山东云海国创云计算装备产业创新中心有限公司 | Superconducting quantum chip parameter calibration method, system, device and medium |
| CN116468124A (en) * | 2023-04-27 | 2023-07-21 | 深圳量旋科技有限公司 | Quantum task scheduling method and related device |
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