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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Ahmad Salmanogli

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Preprint Aug 2026

Full-Trajectory Learning of Open Quantum Systems: Dynamical Emulation and the Limits of Hamiltonian Identifiability

A QNN based framework for black box Hamiltonian learning and quantum system emulation using full density matrix trajectory learning, which establishes a data-driven pathway from black box quantum system identification to physical quantum emulation, with potential applications in quantum digital twin modeling.

Ahmad Salmanogli · 0 citations
Preprint Aug 2026

A Unified Quantum Neural Network Framework for Hamiltonian Learning and Emulation of Unknown Quantum Systems

A QNN based framework for black box Hamiltonian learning and quantum system emulation using full density matrix trajectory learning, which establishes a data-driven pathway from black box quantum system identification to physical quantum emulation, with potential applications in quantum digital twin modeling.

Ahmad Salmanogli · 0 citations

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