This title appears in the Scientific Report :
2022
Please use the identifier:
http://hdl.handle.net/2128/33243 in citations.
Tactile Network Resource Allocation enabled by Quantum Annealing based on ILP Modeling
Tactile Network Resource Allocation enabled by Quantum Annealing based on ILP Modeling
Agile networks with fast adaptation and reconfiguration capabilities are required for sustainable provisioning of high-quality services with high availability. We propose a new methodical framework for short-time network control based on quantum computing (QC) and integer linear program (ILP) models...
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Personal Name(s): | Witt, Arthur (Corresponding author) |
---|---|
Körber, Christopher / Kirstädter, Andreas / Luu, Tom | |
Contributing Institute: |
Theorie der Starken Wechselwirkung; IAS-4 |
Imprint: |
2022
|
Document Type: |
Preprint |
Research Program: |
Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups |
Link: |
OpenAccess |
Publikationsportal JuSER |
Agile networks with fast adaptation and reconfiguration capabilities are required for sustainable provisioning of high-quality services with high availability. We propose a new methodical framework for short-time network control based on quantum computing (QC) and integer linear program (ILP) models, which has the potential of realizing a real-time network automation. Finally, we study the approach's feasibility with the state-of-the-art quantum annealer D-Wave Advantage 5.2 in case of an example network and provide scaling estimations for larger networks. We embed network problems in quadratic unconstrained binary optimization (QUBO) form for networks of up to 6 nodes. We further find annealing parameters that obtain feasible solutions that are close to a reference solution obtained by classical ILP-solver. We estimate, that a real-sized network with 12 to 16 nodes require a quantum annealing (QA) hardware with at least 50000 qubits or more. |