Adaptive Resource Orchestration for Distributed Quantum Computing Systems

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Authors: Kuan-Cheng Chen, Felix Burt, Nitish K. Panigrahy, Kin K. Leung
Cited by: 4
References: 13

Abstract

Scaling quantum computing beyond a single device requires networking many quantum processing units (QPUs) into a coherent distributed system. However, most quantum network proposals focus on physical link technologies or point-to-point entanglement generation, leaving the adaptive orchestration of entanglement as a shared resource largely unexplored. We introduce the Modular Entanglement Hub (ModEn-Hub), a hub-and-spoke photonic interconnect paired with a real-time orchestrator that centralizes entanglement generation, routing, and caching across heterogeneous QPUs. ModEn-Hub manages the full Bell-pair lifecycle—deciding which links to entangle, when to schedule teleportation-based non-local gates, and how to allocate a limited cache of stored ebits under loss and decoherence constraints. To illustrate the potential benefits, we perform a lightweight, reproducible Monte Carlo study based on simple but realistic models of photon loss, finite memory lifetime, and bounded time budgets, comparing a naïve sequential strategy to an orchestrated policy with limited parallel attempts and opportunistic reuse of cached entanglement. In our experiments across small-to-moderate network sizes, ModEn-Hub-style orchestration maintains substantially higher teleportation success probabilities than the baseline, albeit at the cost of more entanglement generation attempts. These results provide high-level evidence that adaptive, centrally coordinated resource management is a promising architectural pattern for scalable, near-term distributed quantum computing.

Fields of Study & Subjects

Quantum Information and Cryptography Quantum Computing Algorithms and Architecture Neural Networks and Reservoir Computing

Publication details

Journal / source
IEEE Internet Computing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
30
Issue
1
Pages
16–25
Publication date
1 January 2026