Quantum Entanglement-Based Distributed Computing Resource Scheduling
Jincheng Zhang
Abstract
This paper explores a novel approach to distributed computing resource scheduling leveraging the principles of quantum entanglement. Traditional distributed computing systems face limitations in efficiency and security due to reliance on classical communication and shared states, which are susceptible to interference and vulnerabilities. This research proposes a system where each computing node generates and shares a quantum entangled state with other nodes. By encoding and measuring these entangled states, we can indirectly control the state of remote nodes, enabling dynamic resource allocation and parallel task execution. Critically, this approach provides inherent security through the reliance on entangled states for communication and control, eliminating the need for traditional cryptographic mechanisms. We present a theoretical framework and explore the potential benefits of this system, highlighting its capacity to improve computational efficiency and data security while addressing limitations of current distributed computing paradigms. The core claim is that utilizing quantum entanglement enables efficient and secure distributed resource scheduling, while the core mechanism involves creating shared entangled states and leveraging their measurement for control.