A 500MHz, 0.5% THD With 400mVpp Linear Transimpedance Amplifier (TIA) for Analog Optical and In-memory Computing Applications

As Moore’s Law gradually reaches its limit, the current traditional chip architecture is limited by the physical size of electronic transistors approaching the speed bottleneck. Optoelectronic computing, with its ultra-high parallelism and speed, is considered to be one of the most powerful competitive solutions for disruptive computing architectures in the future. Furthermore, RRAM-based compute-in-memory (CIM), as a computing system with non-von Neumann architecture, has been reported as one of the most promising neural network accelerators in the future. Among them, a linear transimpedance amplifier (TIA) is considered to be a key circuit for realizing current-to-voltage conversion and has extremely high requirements for its linearity. The proposed TIA employs an inverter-based transimpedance front-end (TFE) to realize the conversion from current to voltage. At the same time, the classAB stage is applied to the gain stage to achieve a trade-off between high swing and high linearity. Implemented in the 28 $\mathbf{n m}$ CMOS process, the proposed TIA supports 500 MHz bandwidth with a DC transimpedance gain of $74 \mathrm{~dB} \Omega$ and the total harmonic distortion (THD) is less than $\mathbf{0. 5 \%}$ for an output swing of 400 mVpp.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/apccas62602.2024.10808808
Citations
2
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
0.42

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article

A 500MHz, 0.5% THD With 400mVpp Linear Transimpedance Amplifier (TIA) for Analog Optical and In-memory Computing Applications

Jingjing Lv, Zhijun Ning, Li Du, Likai Li et al.
2 citations
Photonic and Optical Devices
0.42
article

A 500MHz, 0.5% THD With 400mVpp Linear Transimpedance Amplifier (TIA) for Analog Optical and In-memory Computing Applications

Jingjing Lv, Zhijun Ning, Li Du, Likai Li, Yuan Du, Zhong Zhang, K. M. Gu
article en
2 citations

Abstract

As Moore’s Law gradually reaches its limit, the current traditional chip architecture is limited by the physical size of electronic transistors approaching the speed bottleneck. Optoelectronic computing, with its ultra-high parallelism and speed, is considered to be one of the most powerful competitive solutions for disruptive computing architectures in the future. Furthermore, RRAM-based compute-in-memory (CIM), as a computing system with non-von Neumann architecture, has been reported as one of the most promising neural network accelerators in the future. Among them, a linear transimpedance amplifier (TIA) is considered to be a key circuit for realizing current-to-voltage conversion and has extremely high requirements for its linearity. The proposed TIA employs an inverter-based transimpedance front-end (TFE) to realize the conversion from current to voltage. At the same time, the classAB stage is applied to the gain stage to achieve a trade-off between high swing and high linearity. Implemented in the 28 $\mathbf{n m}$ CMOS process, the proposed TIA supports 500 MHz bandwidth with a DC transimpedance gain of $74 \mathrm{~dB} \Omega$ and the total harmonic distortion (THD) is less than $\mathbf{0. 5 \%}$ for an output swing of 400 mVpp.

Nanjing University (CN)
Nanjing University, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 36%
Photonic and Optical Devices
0.42
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A 500MHz, 0.5% THD With 400mVpp Linear Transimpedance Amplifier (TIA) for Analog Optical and In-memory Computing Applications — Jingjing Lv, Zhijun Ning, et al. · (2024) | TGRS Research Map | TGRS