Adaptive Resource Orchestration for Distributed Quantum Computing Systems

• URL: http://arxiv.org/abs/2512.24902v1
• Date: Wed, 31 Dec 2025 14:58:05 GMT
• Title: Adaptive Resource Orchestration for Distributed Quantum Computing Systems
• Authors: Kuan-Cheng Chen, Felix Burt, Nitish K. Panigrahy, Kin K. Leung,
• Abstract summary: ModEn-Hub is a hub-and-spoke photonic interconnect paired with a real-time quantum network orchestrator.<n>Control plane schedules teleportation-based non-local gates, launches parallel entanglement attempts, and maintains a small ebit cache.<n>Across 1-128 QPUs and 2,500 trials per point, ModEn-Hub-style orchestration sustains about 90% teleportation success.
• Score: 7.384226548680519
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Scaling quantum computing beyond a single device requires networking many quantum processing units (QPUs) into a coherent quantum-HPC system. We propose the Modular Entanglement Hub (ModEn-Hub) architecture: a hub-and-spoke photonic interconnect paired with a real-time quantum network orchestrator. ModEn-Hub centralizes entanglement sources and shared quantum memory to deliver on-demand, high-fidelity Bell pairs across heterogeneous QPUs, while the control plane schedules teleportation-based non-local gates, launches parallel entanglement attempts, and maintains a small ebit cache. To quantify benefits, we implement a lightweight, reproducible Monte Carlo study under realistic loss and tight round budgets, comparing a naive sequential baseline to an orchestrated policy with logarithmically scaled parallelism and opportunistic caching. Across 1-128 QPUs and 2,500 trials per point, ModEn-Hub-style orchestration sustains about 90% teleportation success while the baseline degrades toward about 30%, at the cost of higher average entanglement attempts (about 10-12 versus about 3). These results provide clear, high-level evidence that adaptive resource orchestration in the ModEn-Hub enables scalable and efficient quantum-HPC operation on near-term hardware.

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