The ADOPD project exceeds the state of the art in two main fields which are neuro-theory of dendritic computation as well as advanced multi-branch, adaptive photonic systems for ultra-high-speed computations. Specifically, we report on four aspects that can create direct economic impacts, namely:
1) Dendrite-based computation unit towards a photonic integrated circuit platform: Microscopic optical and electro-optical components enable a high degree of integration at the current state of the art. The photonic integrated circuit (PIC) platforms (Silicone, Siliconenitride) are offering an excellent perspective for massively parallel implementation of analog computing paradigms, while relying on well understood semiconductor technologies. The PIC platform promises energy, space and cost saving solutions for analogue optical computing in future. To address this, at this stage, members of the consortium have made a first round of consultancy with VLC Photonics, where we currently evaluate the possible integration technologies and the supporting fabrication platforms.
2) Adaptive Method for Synchronization of Electrical and Optical Signals (Skew Compensation) - ADSYNC (a patent based on ICO learning): This is a novel invention, based on the ICO learning rule, which is central to the ADOPD project. The transmission of electrical or optical signal groups often leads to different travel times and asynchronous arrival at a detector. This can occur due to multiple reasons including, but not restricted to, differences in production (material properties), thermally induced differences, different transmission delays in the system, etc., even if the signal source is identical. In addition, widening of pulse groups or other distortions can happen. Processing of such signals requires prior temporal synchronization for which ADSYNC offers a powerful novel and adaptive solution, which avoids controller recalibration. It has the potential to create impact in different fields where signal synchronization is required. These fields are manifold especially in wireless transmission systems.
3) Implementation of an extended fading memory optical cell: This memory cell is the first that allows storing numerical values by ways of light. We have investigated different versions of the optical memory cell, with a final assessment that the memory is fading and not static. The extended memory that offers is of high interest, especially in systems that exploit this type of memory for computing (e.g. reservoir computing). This sub-system needs to be tested in the context of an operation that requires these memory attributes especially here into different photonic reservoir prototypes that are available.
4) Design and manufacturing of an all-silica step-index few-mode optical fibre. This offers an interesting approach for increasing the bandwidth of optical networks by using few-mode optical fibers in combination with space-division-multiplexing techniques. We cooperate with external partners (TU Dresden) on the experimental realization of this which should be impactful for the telecom/datacom industry.
