Cookies disclaimer

I agree Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our website without changing the browser settings you grant us permission to store that information on your device.

QA as an ILP-solver for Long-haul Networks

By
  • Christopher Körber

Poster at Forschungszentrum Jülich

Keywords: Quantum Annealing, Integer Linear Programming, Resource Allocation, IP-optical Long-haul Networks

nic-2022-qnet

Optical long-haul networks are the backbone for public communication systems like 5G mobile communication and different variants of fixed-access networks. The transport of internet protocol (IP) traffic require a conversion from electrical to optical signals and vice versa realized by the power- hungry transceivers of the optical networks. Therefore, the economical efficient operation of networks like these require fast control algorithms for dynamic resource allocation and traffic engineering. Our work proposes a new Integer-linear program (ILP) optimization solution approach for the aforementioned network problem that can be solved on a quantum annealer (QA), a form of quantum computing architecture. We assume that network optimization is a well suited application of quantum computing as complex discrete optimization problems has to be solved within short time scales. Also the fact that today’s networks are controlled in a centralized way by software defined networking (SDN) allows a simple embedding of quantum computer.