Energy Efficiency Bounds for Photonic Analog to Digital Converters

Energy Efficiency Bounds for Photonic Analog to Digital Converters
复制标题

光子模数转换器的能效界限

DOI:
10.1109/jlt.2023.3328317
复制
发表时间:
2024
影响因子:
4.7
通讯作者:
Deakin C
Deakin C
中科院分区:
工程技术2区
文献类型:
--
作者:
Deakin C

文献摘要

参考文献

相似文献

许多努力都研究了基于光子的模数转换器 (ADC) 的前景,并表明它们在速度和分辨率方面可以大大优于电子同类产品。在本文中,我们分析了光子 ADC 的功耗,该功耗在之前的文献中尚未得到有意义的研究,但却是模数转换的关键品质因数。首先,我们表明,在量子噪声限制范围内,基于光子的转换器在任何合理的操作环境下都不能超过传统电子设计的效率。然而,我们进一步表明,光子 ADC 在高频下的卓越性能可能使它们在 Schreier 品质因数基础上优于高采样率电子 ADC,后者的性能受到时钟抖动和集成电路技术开关速度等技术限制的限制。
Many efforts have examined the prospect of photonic based analog to digital converters (ADCs) and shown that they can substantially outperform their electronic counterparts in terms of speed and resolution. In this paper we analyse the power consumption of photonic ADCs, which has not been meaningfully examined in previous literature yet is a critical figure of merit for analog to digital conversion. Firstly, we show that in a quantum noise limited regime photonic based converters cannot exceed the efficiency of conventional electronic designs in any reasonable operating environment. However, we further show that the exceptional performance of photonic ADCs at high frequencies may allow them to outperform high sampling rate electronic ADCs on a Schreier figure of merit basis, whose performance is limited by technological constraints such as clock jitter and the switching speed of the integrated circuit technology.
1.5 微米波长的低阈值应变量子阱激光器
DOI: --
发表时间: 1990
期刊: Integrated Photonics Research
影响因子: --
作者:
U. Koren;M. Oron;M. Young;B. Miller;J. L. de Miguel;G. Raybon;M. Chien
通讯作者: M. Chien
ADC 和 DAC — 技术趋势和克服电流限制的步骤
DOI: 10.1364/ofc.2018.m2c.1
发表时间: 2018
期刊: 2018 Optical Fiber Communications Conference and Exposition (OFC)
影响因子: --
作者:
T. Drenski;J. Rasmussen
通讯作者: J. Rasmussen
高 CW 电插效率 1.5 微米发射二极管激光器
DOI: --
发表时间: 2015
期刊: International Conference on Intelligent Pervasive Computing
影响因子: --
作者:
D. Botez;T. Garrod;L. Mawst
通讯作者: L. Mawst
DOI: 10.23919/ofc49934.2023.10116920
发表时间: 2023
期刊: --
影响因子: --
作者:
Deakin C
通讯作者: Deakin C
DOI: 10.1038/s41586-018-0551-y
发表时间: 2018-10-04
期刊: NATURE
影响因子: 64.8
作者:
Wang, Cheng;Zhang, Mian;Loncar, Marko
通讯作者: Loncar, Marko