Abstract: A photonics reservoir computing system is described. The system is configured for propagating at least one optical signal so as to create resulting radiation signals in the output channels. The photonics reservoir computing system further comprises weighting elements for weighting signals from the output channels, and at least one optical detector for optically detecting signals from the output channels. The system is adapted for estimating signals from the output channels through an output of the optical detector.

Abstract: A passive photonics reservoir computing system comprises an optical waveguide based structure comprising a plurality of discrete nodes and a plurality of passive waveguide interconnections between the nodes for propagating the at least one photonic signal between the nodes, in which each discrete node is adapted for passively relaying the at least one photonic wave over the passive waveguide interconnections connected thereto, wherein the optical waveguide based structure comprises at least one multimode Y-junction configured for connecting three waveguides using a taper section wherein the taper section is not perfectly adiabatic. A training scheme uses a passive photonics computing system.

Abstract: A photonics reservoir computing system is described. The system is configured for propagating at least one optical signal so as to create resulting radiation signals in the output channels. The photonics reservoir computing system further comprises weighting elements for weighting signals from the output channels, and at least one optical detector for optically detecting signals from the output channels. The system is adapted for estimating signals from the output channels through an output of the optical detector.

Abstract: A passive photonics reservoir computing system comprises an optical waveguide based structure comprising a plurality of discrete nodes and a plurality of passive waveguide interconnections between the nodes for propagating the at least one photonic signal between the nodes, in which each discrete node is adapted for passively relaying the at least one photonic wave over the passive waveguide interconnections connected thereto, wherein the optical waveguide based structure comprises at least one multimode Y-junction configured for connecting three waveguides using a taper section wherein the taper section is not perfectly adiabatic. A training scheme uses a passive photonics computing system.

Abstract: A device for extracting at least one object characteristic of an object (106) is presented, the device comprising: a light sensor (101) for recording a hologram of an object and a processing unit (102) coupled to the light sensor and configured for extracting at least one object characteristic from the hologram; wherein the processing unit is configured for extracting the at least one object characteristic from a section of the hologram without reconstructing an image representation of the object. Further, a device (200) for sorting an object (106), a method for identifying an object and a method for sorting objects is presented.

Abstract: A device for extracting at least one object characteristic of an object (106) is presented, the device comprising: a light sensor (101) for recording a hologram of an object and a processing unit (102) coupled to the light sensor and configured for extracting at least one object characteristic from the hologram; wherein the processing unit is configured for extracting the at least one object characteristic from a section of the hologram without reconstructing an image representation of the object. Further, a device (200) for sorting an object (106), a method for identifying an object and a method for sorting objects is presented.

Abstract: A method comprising providing an input signal to at least one input node of a computing reservoir by temporally encoding the input signal by modulating the at least one photonic wave as function of the input signal is described. The method further comprises propagating the at least one photonic wave via passive guided or unguided propagation between discrete nodes of the computing reservoir, in which each discrete node is adapted for passively relaying the at least one photonic wave over the passive interconnections connected thereto. The method also comprises obtaining a plurality of readout signals, in which each readout signal is determined by a non-linear relation to the at least one photonic wave in at least one readout node of the computing reservoir, and combining this plurality of readout signals into an output signal by taking into account a plurality of training parameters.

Abstract: A method comprising providing an input signal to at least one input node of a computing reservoir by temporally encoding the input signal by modulating the at least one photonic wave as function of the input signal is described. The method further comprises propagating the at least one photonic wave via passive guided or unguided propagation between discrete nodes of the computing reservoir, in which each discrete node is adapted for passively relaying the at least one photonic wave over the passive interconnections connected thereto. The method also comprises obtaining a plurality of readout signals, in which each readout signal is determined by a non-linear relation to the at least one photonic wave in at least one readout node of the computing reservoir, and combining this plurality of readout signals into an output signal by taking into account a plurality of training parameters.