TY - GEN
T1 - Ultra-low loss large-scale photonic integrated circuits on thin film lithium niobate
AU - Cheng, Ya
N1 - Publisher Copyright:
© 2025 SPIE.
PY - 2025
Y1 - 2025
N2 - Low-loss large-scale photonic integrated circuits (PICs) combined with highly efficient electro-optic (EO) tuneability offers tremendous opportunities for developing high-performance and highly functional photonic devices and systems. In comparison with the fiber-based devices, large-scale PICs can potentially be more compact, more power efficient, and more cost-effective. On the other hand, large-scale PICs can also be potentially used for optical computation and photonic neural network applications. To realize large-scale PICs, we develop photolithography assisted chemo-mechanical etching (PLACE) and apply it for fabricating PICs on thin-film lithium niobate (TFLN). We then demonstrate various kinds of PICs ranging from low-loss optical delay lines and photonic neural network to EO tunable lasers and high-power waveguide amplifiers. Significant improvements have been achieved with respect to the key parameters/performances of TFLN photonics devices, such as modulation bandwidth, power consumption, propagation loss, active and passive functionalities, and scale of integration.
AB - Low-loss large-scale photonic integrated circuits (PICs) combined with highly efficient electro-optic (EO) tuneability offers tremendous opportunities for developing high-performance and highly functional photonic devices and systems. In comparison with the fiber-based devices, large-scale PICs can potentially be more compact, more power efficient, and more cost-effective. On the other hand, large-scale PICs can also be potentially used for optical computation and photonic neural network applications. To realize large-scale PICs, we develop photolithography assisted chemo-mechanical etching (PLACE) and apply it for fabricating PICs on thin-film lithium niobate (TFLN). We then demonstrate various kinds of PICs ranging from low-loss optical delay lines and photonic neural network to EO tunable lasers and high-power waveguide amplifiers. Significant improvements have been achieved with respect to the key parameters/performances of TFLN photonics devices, such as modulation bandwidth, power consumption, propagation loss, active and passive functionalities, and scale of integration.
KW - electro-optic tuning
KW - femtosecond laser
KW - photolithography
KW - photonic integrated circuit
KW - waveguide
UR - https://www.scopus.com/pages/publications/105005937387
U2 - 10.1117/12.3052299
DO - 10.1117/12.3052299
M3 - 会议稿件
AN - SCOPUS:105005937387
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optical Components and Materials XXII
A2 - Jiang, Shibin
A2 - Digonnet, Michel J.
PB - SPIE
T2 - Optical Components and Materials XXII 2025
Y2 - 27 January 2025 through 28 January 2025
ER -