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Compact non-volatile photonic chip design performs matrix multiplication
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Fusion42 · 24 October 2026 · Fusion42 review
Researchers designed a compact photonic chip that performs matrix-vector multiplication using light, enabling non-volatile, energy-efficient neuromorphic computing with broadband tolerance across a 40 nm window. The chip's design relies on phase-change GSST cells for fast, reversible switching without continuous power, potentially overcoming electronic processor limitations for large neural networks.
This Wire brief sits within Fusion42's coverage of AI Infrastructure, Photonics & Optics and Semiconductors.
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Your AI hardware can tap into photonic chips that slash energy use with non-volatile memory and fast switching. This widens routes to build efficient neural network engines beyond traditional silicon.
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1 source · 24 Oct 2026
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