BT
University of Edinburgh

Optimising telecommunications systems with quantum computing

Telecommunications providers must continuously solve sophisticated optimisation problems across their networks to offer high quality, cost-effective and sustainable services.

To tackle these complex challenges, the industry has traditionally relied on conventional computer algorithms. Traditional algorithms, whilst reliable, operate in a linear, step-by-step fashion that can become computationally expensive for large-scale network optimisation.

As network complexity and data demands continue to grow exponentially, there is an urgent need for more powerful computational approaches that can handle these challenges efficiently. Quantum algorithms represent a paradigm shift in computational approaches. Unlike classical methods, quantum algorithms can explore multiple solutions in "parallel", which makes the process faster, offering, potentially, considerable speed up.

As part of his Fellowship, Sam will develop variational quantum algorithms for BT telecommunications, using the best of approaches of both classical and quantum computing. He will apply these techniques to the optimisation of BT’s existing network, providing more efficient and effective use of existing telecommunications systems without requiring extensive new physical infrastructure. This is expected to enhance service quality, lower costs and improve sustainability.

This research represents a crucial step toward quantum advantage in telecommunications, demonstrating how emerging quantum technologies can enhance existing infrastructure and pave the way for next-generation network capabilities.

Biography

Following successful research internships with BT and the University of Oxford, Sam has already developed five inventions for future RF comms and quantum networking technology. This practical experience, combined with deep theoretical knowledge of superconducting systems and quantum algorithms, positions Sam uniquely to bridge the gap between cutting-edge quantum research and real-world telecommunications applications.

Through Sam's interdisciplinary interests, he explores mathematics, physics, computation and history – as well as generative art, the fascinating intersection of mathematics, nature and art.