{"ID":6536465,"CreatedAt":"2026-07-14T01:21:01.169441415Z","UpdatedAt":"2026-07-14T15:38:47.698199434Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.10367","arxiv_id":"2607.10367","title":"Model-Driven Digital Twin Framework for Quantum Networks","abstract":"Quantum networks are advancing towards larger and more operational infrastructures, yet their evaluation remains fragmented across heterogeneous physical platforms, simulators, protocols, and architectural abstractions. Current digital-twin studies for quantum networks mainly realise isolated capabilities or application-specific solutions rather than reusable system-level twins. This paper argues that Model-Driven Engineering (MDE) can provide a systematic basis for integrating and evolving these heterogeneous artefacts. It derives requirements for design-time evaluation and runtime synchronisation, and proposes a progression of architectures from code-driven and domain-model-driven solutions to point-to-point and hub-and-spoke integration. A conceptual implementation case study illustrates this using SysML v2, QKD kit, an EMF-based controller, and SeQUeNCe. The work provides a foundation for adaptable and interoperable digital twins for quantum networks.","short_abstract":"Quantum networks are advancing towards larger and more operational infrastructures, yet their evaluation remains fragmented across heterogeneous physical platforms, simulators, protocols, and architectural abstractions. Current digital-twin studies for quantum networks mainly realise isolated capabilities or applicatio...","url_abs":"https://arxiv.org/abs/2607.10367","url_pdf":"https://arxiv.org/pdf/2607.10367v1","authors":"[\"Amal Elsokary\",\"Hayato Ishida\",\"Ran Wei\",\"Michael J. de C. Henshaw\",\"Siyuan Ji\"]","published":"2026-07-11T15:43:29Z","proceeding":"cs.SE","tasks":"[\"cs.SE\",\"cs.NI\",\"quant-ph\"]","methods":"[]","has_code":false}