Celestial Ai Inc.

George Giamougiannis

David E Lazovsky

Nikolaos Pleros

Apostolos Tsakyridis

Angelina Totovic

Yangjin Ma

Philip Winterbottom

Martinus Bos

Disclosed are coherent photonic circuit architectures that optically implement linear algebraic computations. In neuromorphic applications of such photonic circuit architectures, individual neural network layers can be implemented by coherent optical linear neurons in a crossbar configuration, integrated with electronic circuitry at the interfaces between neural network layers to determine the neuron inputs to one layer based on the neuron outputs of the preceding layer. Wavelength division multiplexing can be used to efficiently implement certain specific network models, optionally in conjunction with electro-optic switches to render a generic hardware configuration programmable.

Coherent photonic computing architectures

Vector and matrix multiplications can be accomplished in photonic circuitry by coherently combining light that has been optically modulated, in amplitude and/or phase, in accordance with the vector and matrix components. Disclosed are various beneficial photonic circuit layouts characterized by loss- and delay-balanced optical paths. In various embodiments, loss balancing across paths is achieved with suitable optical coupling ratios and balanced numbers of waveguide crossings (using dummy crossings where needed) across the paths. Delays are balanced in some embodiments with geometrically delay-matched optical paths.

Balanced photonic architectures for matrix computations

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Salonika, Greece

George Giamougiannis