双引擎下的量子电子算力网络资源调度优化方法

程启月; 陆军

doi:10.11959/j.issn.2096-8930.2025009

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双引擎下的量子电子算力网络资源调度优化方法

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- 双引擎下的量子电子算力网络资源调度优化方法
- Method of Optimize Scheduling Under Double Engines about Quantum/Electron Computing Power Networks Resource
- 天地一体化信息网络 2025年6卷第1期页码：78-85
- 作者机构：
  
  量子科技长三角产业创新中心，江苏苏州 215100
- 作者简介：
  
  [ "程启月（1957- ），女，博士，教授，主要研究方向为信息系统建模与仿真、量子计算。" ]
  [ "陆军（1964- ），男，中国工程院院士，主要研究方向为综合电子信息系统。" ]
- 基金信息：
  
  中国工程院行业院重大项目(2022-HYZD-01);科技创新载体计划项目(SZS2022416)
- DOI：10.11959/j.issn.2096-8930.2025009
  中图分类号： TP393
- 收稿：2024-10-08，
  
  修回：2025-01-20，
  
  纸质出版：2025-03-20
- 稿件说明：
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程启月,陆军.双引擎下的量子电子算力网络资源调度优化方法[J].天地一体化信息网络,2025,06(01):78-85.

CHENG Qiyue,LU Jun.Method of Optimize Scheduling Under Double Engines about Quantum/Electron Computing Power Networks Resource[J].Space-Integrated-Ground Information Networks,2025,06(01):78-85.
程启月,陆军.双引擎下的量子电子算力网络资源调度优化方法[J].天地一体化信息网络,2025,06(01):78-85. DOI： 10.11959/j.issn.2096-8930.2025009.

CHENG Qiyue,LU Jun.Method of Optimize Scheduling Under Double Engines about Quantum/Electron Computing Power Networks Resource[J].Space-Integrated-Ground Information Networks,2025,06(01):78-85. DOI： 10.11959/j.issn.2096-8930.2025009.

摘要

给出一种双引擎下的量子电子算力网络资源调度优化方法。针对混合算力网络资源，给出“混合控制”条件下的双引擎标签和“混合算力”条件下的双引擎标识等引导机制和认证技术；给出不确定条件下的基于“混合度量”情况下的双引擎调度机制，以及构建混合算力的相对熵模型和综合集成求全局最优解算法。基于双引擎下的量子电子算力网络资源全局优化度量调度机制和算法，对量子电子混合算力网络的研究具有前瞻性和科学性。设计开发与分配装置原型系统相适应的软件系统，实现从软件上将一个物理系统转变成一个处理器，完成混合算力网络对算力任务适配的全局优化调度，该方法创新提出了量子电子算力网络资源调度理论与工程化技术路径。

Abstract

This paper presented an optimization method for resource scheduling in quantum/electron computing power networks under a dual-engine paradigm. To address the challenges associated with heterogeneous computing resources

guiding mechanisms and authentication technologies were introduced

included dual-engine labels under the "hybrid control" condition and dual-engine identification guidance under the 'hybrid computing power' condition. Additionally

it proposed a dual-ngine scheduling mechanism based on "hybrid metrics" under uncertain conditions

and a global optimal solution algorithm for heterogeneous computing power based on the comprehensive integration model using relative entropy. The research on quantum/electron heterogeneous computing power networks

based on a dual-engine global optimization metric scheduling mechanism and algorithm for quantum/electron computing network resources

demonstrates both foresight and scientific rigor. A software system compatible with the design and development of allocation device prototype systems was implemented

which realized the transformation of a physical system into a processor at the software level

and completed the global optimization scheduling of the target task in the hybrid computing network. This method formulated a theory and innovates a new technical of engineering path for resource scheduling in quantum/electron computing power networks.

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references

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