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I/O-efficient iterative matrix inversion with photonic integrated circuits.


ABSTRACT: 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.

SUBMITTER: Chen M 

PROVIDER: S-EPMC11251023 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature

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I/O-efficient iterative matrix inversion with photonic integrated circuits.

Chen Minjia M   Wang Yizhi Y   Yao Chunhui C   Wonfor Adrian A   Yang Shuai S   Penty Richard R   Cheng Qixiang Q  

Nature communications 20240715 1


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 lo  ...[more]

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