Integrated lithium niobate photonic computing circuit based on efficient
and high-speed electro-optic conversion
- Yaowen Hu
- Yunxiang Song
- Xinrui Zhu
- Xiangwen Guo
- Shengyuan Lu
- Qihang Zhang
- Lingyan He
- C. A. A. Franken
- Keith Powell
- Hana Warner
- Daniel Assumpcao
- Dylan Renaud
- Ying Wang
- Letícia Magalhães
- Victoria Rosborough
- Amirhassan Shams-Ansari
- Xudong Li
- Rebecca Cheng
- Kevin Luke
- Kiyoul Yang
- George Barbastathis
- Mian Zhang
- Di Zhu
- Leif Johansson
- Andreas Beling
- Neil Sinclair
- Marko Loncar
- physics.optics
- physics.app-ph
Here we show a photonic computing accelerator utilizing a system-level
thin-film lithium niobate circuit which overcomes this limitation. Leveraging
the strong electro-optic (Pockels) effect and the scalability of this platform,
we demonstrate photonic computation at speeds up to 1.36 TOPS while consuming
0.057 pJ/OP. Our system features more than 100 thin-film lithium niobate
high-performance components working synergistically, surpassing
state-of-the-art systems on this platform. We further demonstrate
binary-classification, handwritten-digit classification, and image
classification with remarkable accuracy, showcasing our system’s capability of
executing real algorithms. Finally, we investigate the opportunities offered by
combining our system with a hybrid-integrated distributed feedback laser source
and a heterogeneous-integrated modified uni-traveling carrier photodiode. Our
results illustrate the promise of thin-film lithium niobate as a computational
platform, addressing current bottlenecks in both electronic and photonic
computation. Its unique properties of high-performance electro-optic weight
encoding and conversion, wafer-scale scalability, and compatibility with
integrated lasers and detectors, position thin-film lithium niobate photonics
as a valuable complement to silicon photonics, with extensions to applications
in ultrafast and power-efficient signal processing and ranging.