Publication No 40788

Author(s)

Witt, A.*; Körber, C.; Kirstädter, A.*; Luu, T.

Title

Tactile Network Resource Allocation enabled by Quantum Annealing based on ILP Modeling

Abstract

Agile networks with fast adaptation and reconfiguration capabilities are required for on-demand provisioning of various network services. We propose a new methodical framework for short-time network optimization based on quantum computing (QC) and integer linear program (ILP) models, which has the potential of realizing a real-time network automation. We define methods to map a nearly real-world ILP model for resource provisioning to a quadratic unconstrained binary optimization (QUBO) problem, which is solvable on quantum annealer (QA). We concentrate on the three-node network to evaluate our approach and its obtainable quality of solution using the state-of-the-art quantum annealer D-Wave AdvantageTM 5.2/5.3. By studying the annealing process, we find annealing configuration parameters that obtain feasible solutions close to the reference solution generated by the classical ILP-solver CPLEX. Further, we studied the scaling of the network problem and provide estimations on quantum annealer?s hardware requirements to enable a proper QUBO problem embedding of larger networks. We achieved the QUBO embedding of networks with up to 6 nodes on the D-Wave AdvantageTM. According to our estimates a real-sized network with 12 to 16 nodes require a QA hardware with at least 50000 qubits or more.

Year

2023

Reference entry

Witt, A.; Körber, C.; Kirstädter, A.; Luu, T.
Tactile Network Resource Allocation enabled by Quantum Annealing based on ILP Modeling
Proceedings of the IEEE International Conference on Quantum Computing and Engineering 2023 (QCE), Bellevue, September 2023, pp. 670-680

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