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THE VIDEO SHELF · lisp in quantum computing

Lisp at the Frontier of Computation, by Robert Smith at Rigetti Computing

Robert Smith of Rigetti Computing talks at a Bay Area Lisp and Scheme meetup about using Common Lisp for quantum computing. He covers the technical, sociological and psychological sides of working across disciplines.

Why HN readers recommended it

Recommended as a real-world case of Lisp in a cutting-edge industry, applied to quantum hardware.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Arthur Gleckler
Topic
lisp in quantum computing
Format
talk
Level
intermediate
HN recommenders in dataset
3
HN mentions in dataset
6
Recommendation years in dataset
2017–2019

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Interesting in this regard might also be the talk that Robert Smith of Rigetti Computing recently gave: [VIDEO] Apart from praising Common Lisp he describes how they are building an assembler-like language for quantum computing. The HN thread: [LINK]

    robertkrahn01 on Hacker News · 2017-12
    In An Interactive Introduction to Quantum Computing
  • Lisp at the Frontier of Computation, by Robert Smith at Rigetti Computing [VIDEO] About the application of Lisp on quantum hardware.

    Vekz on Hacker News · 2018-01
    In Ask HN: What’s your favorite talk from 2017?
  • Rigetti Quantum Computing [0] is a YC startup that actually manufactures real quantum computers that are accessible through Forest. There are a couple neat videos about the tech. [1,2] You can access the service through a Python API [3]. Disclaimer: I work there. [0] [LINK] …

    reikonomusha on Hacker News · 2018-01
    In The Era of Quantum Computing Is Here. Outlook: Cloudy

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.