ArticleNanophotonics (Berlin, Germany)2026
Monolithic Silicon-Photonics Sign-Sign Dot-Product Circuits Toward Artificial Intelligence and Multiple-Input Multiple-Output Accelerators.
Article in Nanophotonics (Berlin, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
This research leverages advanced monolithic silicon-photonics integrated-circuit manufacturing capabilities to realize system-on-chip photonic-computing-based linear-algebra accelerators for a wide range of applications in artificial intelligence, machine learning, and multiple-input multiple-output wireless technology. With holistic codesign in both photonic and electronic domains, strategic electrical-to-optical signal conversion, a differential intensity-modulation technique, and a dual rail-to-rail photodetection architecture, the monolithic photonic-electronic test chip of a sign-sign dot-product accelerator achieves 8.92-Gb/s/MAC computation throughput with 2.22-pJ/b/MAC energy consumption for next-generation large-scale linear-algebra computing hardware targeting higher than one TMAC/s/mm
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