Method of Optimize Scheduling Under Double Engines about Quantum/Electron Computing Power Networks Resource

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.