Silicon photonics articles from across Nature Portfolio

Non-reciprocal magneto-optics memory enables an integrated photonic platform that supports powerful matrix-vector multiplication computing and fast, efficient, fatigue-free programming capabilities.

A CMOS-compatible watt-class power amplifier based on large-mode waveguide technology is realized with an on-chip output power reaching ~1 W within a footprint of ~4 mm², enabling integrated photonics to tackle true systems level integration.

An on-chip, high-bandwidth-density non-Hermitian hybrid switching network based on the integration of III–V and silicon materials is demonstrated, paving the way for compact and ultrafast monolithic integrated silicon photonics for large-scale and high-dimensional information processing.

A new integration approach, nano-ridge engineering, enables electrically driven GaAs-based laser diodes to be fabricated on Si wafers in a complementary metal–oxide–semiconductor (CMOS) pilot line, showing potential for the integration of laser diodes in a Si photonics platform.

Reservoir computing (RC) is a powerful computing paradigm for machine learning and temporal data processing. Authors present a compact and versatile silicon photonic RC processor that delivers ultrafast speed of 200 TOPS and energy efficiency two orders of magnitude greater than digital processors.

Optical bound states in the continuum is a highly localized mode supported in various systems. Authors demonstrate such optical modes that propagate at the edge of truncated photonic crystal structures composed of an array of silicon pillars.

Non-reciprocal magneto-optics memory enables an integrated photonic platform that supports powerful matrix-vector multiplication computing and fast, efficient, fatigue-free programming capabilities.

Harnessing the large-scale integration and individual control of artificial atoms on silicon photonic circuits enables the realization of a rapidly programmable topological photonic chip that can be dynamically reconfigured to explore diverse topological phenomena.