| Autor: |
Chen, Minjia, Wang, Yizhi, Yao, Chunhui, Wonfor, Adrian, Yang, Shuai, Penty, Richard, Cheng, Qixiang |
| Předmět: |
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| Zdroj: |
Nature Communications; 7/15/2024, Vol. 15 Issue 1, p1-12, 12p |
| Abstrakt: |
Photonic integrated circuits have been extensively explored for optical processing with the aim of breaking the speed and energy efficiency bottlenecks of digital electronics. However, the input/output (IO) bottleneck remains one of the key barriers. Here we report a photonic iterative processor (PIP) for matrix-inversion-intensive applications. The direct reuse of inputted data in the optical domain unlocks the potential to break the IO bottleneck. We demonstrate notable IO advantages with a lossless PIP for real-valued matrix inversion and integral-differential equation solving, as well as a coherent PIP with optical loops integrated on-chip, enabling complex-valued computation and a net inversion time of 1.2 ns. Furthermore, we estimate at least an order of magnitude enhancement in IO efficiency of a PIP over photonic single-pass processors and the state-of-the-art electronic processors for reservoir training tasks and multiple-input and multiple-output (MIMO) precoding tasks, indicating the huge potential of PIP technology in practical applications. Integrated photonic iterative processors provide a novel I/O-efficient computing paradigm for matrix-inversion-intensive tasks, achieving higher speed and energy efficiency than state-of-the-art electronic and photonic processors. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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