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Integrated magneto-optics with ultra-high endurance for photonic inmem computing

Researchers demonstrate optical weights for in-memory photonic computing using magneto-optic memory cells comprising Ce:YIG on silicon micro-ring resonators. Non-reciprocal phase shift provides a fast, efficient and robust integrated optical processing platform.

Here we propose a new approach to encoding optical weights for in-memory photonic computing using magneto-optic memory cells comprising heterogeneously integrated cerium-substituted yttrium iron garnet (Ce:YIG) on silicon micro-ring resonators. We show that leveraging the non-reciprocal phase shift in such magneto-optic materials offers several key advantages over existing architectures, providing a fast (1 ns), efficient (143 fJ per bit) and robust (2.4 billion programming cycles) platform for on-chip optical processing. b, Reciprocal ‘Broadcast and weight’ architecture, which uses the difference between the through and drop ports of an add–drop MRR (scale bar, 15 μm) to encode the values of matrix W. In both approaches, a wavelength multiplexer (MUX) is used to combine the input optical signals into a single waveguide.

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