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Materials for emergent silicon-integrated optical computing

机译：突出硅集成光学计算的材料

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摘要

Progress in computing architectures is approaching a paradigm shift: traditional computing based on digital complementary metal-oxide semiconductor technology is nearing physical limits in terms of miniaturization,speed,and,especially,power consumption. Consequently,alternative approaches are under investigation. One of the most promising is based on a "brain-like" or neuromorphic computation scheme. Another approach is quantum computing using photons. Both of these approaches can be realized using silicon photonics,and at the heart of both technologies is an efficient,ultra-low power broad band optical modulator. As silicon modulators suffer from relatively high power consumption,materials other than silicon itself have to be considered for the modulator. In this Perspective,we present our view on such materials. We focus on oxides showing a strong linear electro-optic effect that can also be integrated with Si,thus capitalizing on new materials to enable the devices and circuit architectures that exploit shifting computational machine learning paradigms,while leveraging current manufacturing infrastructure. This is expected to result in a new generation of computers that consume less power and possess a larger bandwidth.
机译：计算架构的进展正在接近范式偏移：基于数字互补金属氧化物半导体技术的传统计算在小型化，速度和尤其是功耗方面接近物理限制。因此，正在调查替代方法。最有希望的是基于“脑”或神经形态的计算方案。另一种方法是使用光子计算量子计算。这两种方法都可以使用硅光子学实现，并且在两种技术的心脏上是一种有效的超低功耗宽带光调制器。由于硅调制器遭受相对高的功耗，因此必须考虑除硅本身之外的材料。在这种观点中，我们向这些材料展示了我们的观点。我们专注于显示强大线性电光效应的氧化物，也可以与Si集成，从而利用新材料，使得能够利用电流制造基础设施的换档计算机器学习范式的设备和电路架构。这预计将导致新一代计算机消耗较少的功率并且具有更大的带宽。

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  • 来源
    《Journal of Applied Physics》 |2021年第7期|070907.1-070907.22|共22页
  • 作者

    Alexander A.Demkov; Chandrajit Bajaj; John G.Ekerdt; Chris J.Palmstrom; S.J.Ben Yoo;

  • 作者单位

    Department of Physics The University of Texas Austin Texas 78712 USA;

    Department of Computer Science The University of Texas Austin Texas 78712 USA;

    Department of Chemical Engineering The University of Texas Austin Texas 78712 USA;

    Departments of Electrical & Computer Engineering and Materials University of California Santa Barbara California 93106 USA;

    Department of Electrical and Computer Engineering University of California Davis California 95616 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
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  • 正文语种 eng
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