Quantum computing for 5G networks

 In order to support the numerous applications and devices in real time communication with agreed Quality of Service, a large scale planning before deployment of 5G networks and subsequent tuning of the parameters is necessary. It calls for the networks to be dynamic and adaptive with built-in intelligence to shape the traffic. Artificial intelligence and optimisation algorithms can be successfully used for this purpose. Although the technology is very helpful and practical, their scope is limited in time and space. E.g. such algorithms can have the visibility of a few datacentres with the prediction last over a few seconds, often demanding unaffordable resources, time and power. To take it to the next level, a global intelligence platform is required for prediction, optimisation, and categorisation etc.in real time encompassing large networks. Quantum computers addresses all these issues in one shot with their support for massive parallelism as ease of access. Today, APIs making use of quantum computers have been hosted on the cloud for commercial applications. Telecom service providers have started to use the applications to plan for the next generation mobile networks. This proposal is to provide the background of quantum computing, the algorithms and techniques useful for the 5G networks.