Abstract: A photonic system includes a photonic mesh comprising a first array of N input light guiding units located in a first plane and arranged in a spaced-apart substantially parallel relationship along a first axis, and a second array of M output light guiding units located in a second plane and arranged in a spaced-apart substantially parallel relationship along a second axis intersecting with the first axis. The optical coupler is configured for coupling a portion of an input light signal from the input light guiding unit into the output light guiding unit at the respective node, and is configured as a tunable modulation structure controllably switchable between various operative states by a tuning field, configured as a weighting signal to effect a corresponding intensity modulation of the portion of the light signal being coupled from the input light guiding unit into the output light guiding unit by said optical coupler.

Abstract: A method is presented for fabricating a multi-core fiber of a complex geometry. A plurality of N initial optical packages is provided, each optical package having an initial cross-sectional dimension a and including a predetermined number M of optical guiding units. This N optical packages are bundled into a bundle structure, and this bundle structure undergoes heating-based treatment to compress it and obtain a new multicore fiber having a cross-sectional dimension c being equal or smaller than the initial cross-sectional dimension a and including a number N×M cores.

Abstract: An artificial neural unit for signal processing is presented. The artificial neuron unit comprises: a fiber-based optical processing unit having first and second light input ports and first and second light output ports, and being configured and operable to controllably apply optical processing to incoherent input light signals and produce weighted first and second combined light signals; and an electro-optical processing unit configured and operable to process said weighted first and second combined light signals and produce a total weighted output of the artificial neuron unit, by successively performing the following: applying a predetermined mathematical function to said weighted first and second combined light signals corresponding to positive and negative weighting and producing a resulting signal; and applying a non-linear processing to the resulting signal to translate said resulting signal into an optical output signal representing said total weighted output of the artificial neuron unit.

Abstract: A photonic computing system is presented. The system comprises an arrangement of multiple photonic processing units having input and output ports, each of the photonic processing units comprising an array of photonic guiding units configured to define propagation conditions for multiple light fields associated with one or more optical processing tasks. The system also comprises a plurality of optical connectors, each of the optical connectors performing light field to light field coupling between the input and output ports of the photonic processing units, thereby providing a network of communicating processing units. The photonic computing system can be configured as a module enabling its housing in a network rack.

Abstract: A photonic computing system is presented. The system comprises an arrangement of multiple photonic processing units having input and output ports, each of the photonic processing units comprising an array of photonic guiding units configured to define propagation conditions for multiple light fields associated with one or more optical processing tasks. The system also comprises a plurality of optical connectors, each of the optical connectors performing light field to light field coupling between the input and output ports of the photonic processing units, thereby providing a network of communicating processing units. The photonic computing system can be configured as a module enabling its housing in a network rack.