{wiki}

\Video[https://www.youtube.com/watch?v=29aTqLvRia8]
{title=Silicon Photonics: The Next Silicon Revolution? by <Asianometry> (2022)}
{description=
* https://youtu.be/29aTqLvRia8?t=714 <GlobalFoundries> seems to be one of the leaders at the time. E.g. <quantum computing> company <PsiQuantum> uses them. Part of this was from acquiring <IBM>'s microelectronics division in 2014.
* https://youtu.be/t0yj4hBDUsc?t=566 mentions the paper <Deep learning with coherent nanophotonic circuits>
}

\Video[https://www.youtube.com/watch?v=t0yj4hBDUsc]
{title=Running Neural Networks on Meshes of Light by <Asianometry> (2022)}
{description=
* https://youtu.be/t0yj4hBDUsc?t=440 block diagram
* https://youtu.be/t0yj4hBDUsc?t=456 <Lightmatter> https://lightmatter.co/ seems to be using an in-silicon <Mach-Zehnder interferometer> to do analog matrix multiplication with light. It is an actual <analog computer> element!
}

\Video[https://www.youtube.com/watch?v=Y34o0lQ983c]
{title=Silicon Photonics for Extreme Computing by Keren Bergman (2017)}


Silicon photonics

{c}
{tag=American company}
{title2=2017}

* https://lightmatter.co/
* https://www.crunchbase.com/organization/lightmatter-inc

As of 2025, this company was by far the most well funded in the field.

It was founded by some of the authors of the influential paper <Deep learning with coherent nanophotonic circuits>.

Presented e.g. at https://youtu.be/t0yj4hBDUsc?t=456 from <video Silicon Photonics: The Next Silicon Revolution? by Asianometry (2022)>.

Bibliography:
* https://www.reddit.com/r/chipdesign/comments/1fd5f5p/what_is_your_opinion_on_lightmatter_as_a_company/


Lightmatter

Public transport

Rich entity

Virgo cluster

Meiosis

* <mathematics YouTube channels>
* <particle physics YouTube channels>
  * <Dietterich Labs>


The best <scientific> <YouTube> channels

The best scientific YouTube channels

Type of company

Cangue

Cloud computing

List of quantum logic gates

{c}

* https://www.quora.com/Will-Google-open-source-AlphaGo Will Google open source AlphaGo?
* https://www.nature.com/articles/nature16961 Mastering the game of Go with deep neural networks and tree search by Silver et al. (2016), <published without source code>


Ciro Santilli @cirosantilli 37