Receiver comparison for state of polarisation sensing – Taken, no longer available

Project Description: Optical fibre networks are critical to global connectivity, yet they are susceptible to accidental damage or deliberate tampering. While distributed acoustic sensing (DAS) has been widely investigated for disturbance detection, an alternative approach relies on monitoring the state of polarisation (SOP) of light propagating in the fibre. The SOP is highly sensitive to … Read more

Machine learning for fibre disturbance detection via state of polarisation sensing – Taken, no longer available

Project Description: Optical fibre networks are critical to global connectivity, yet they are susceptible to accidental damage or deliberate tampering. While distributed acoustic sensing (DAS) has been widely investigated for disturbance detection, an alternative approach relies on monitoring the state of polarisation (SOP) of light propagating in the fibre. The SOP is highly sensitive to … Read more

Machine learning application to fibre sensing in maritime applications – Taken, no longer available

Project Description: Recent advances in distributed fibre sensing have shown that existing optical fibre cables, originally deployed for telecommunications, can also serve as dense sensor arrays. By sending probe signals through the fibre and analysing the backscattered light, it is possible to extract information about environmental changes such as vibrations, temperature, and strain along the … Read more

Quantum communications protocols for entanglement distribution – Taken, no longer available

Project Description: The exploration of quantum communication protocols for entanglement distribution is critical to advancing secure and efficient quantum networks. Entanglement, a unique quantum phenomenon, enables instantaneous correlations across vast distances, which is essential for applications like quantum key distribution (QKD) and quantum teleportation. In particular, quantum teleportation is an essential feature of quantum networks … Read more

Development of digital twins of optical networks using machine learning – Taken, no longer available

Project Description: Over the past few years, telecommunications networks have migrated towards concepts of virtualisation and programmability, which has recently also affected the optical layer [1]. This has provided the opportunity to build more intelligent control of optical networks, for example to predict quality of transmission and thus improve overall network utilisation, as transmission channels … Read more