JWM
quilc
JWM | quilc | |
---|---|---|
4 | 10 | |
536 | 444 | |
0.9% | 0.7% | |
6.3 | 6.5 | |
2 months ago | 12 days ago | |
C++ | Common Lisp | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
JWM
- Running IntelliJ IDEA with JDK 17 for Better Render Performance with Metal
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Fast and Elegant Clojure: Idiomatic Clojure without sacrificing performance
sigh
Yeah. I am very bullish on Kotlin. Think it's probably the most exciting language evolving right now.
I went on a few-tweet minirant here about why:
https://twitter.com/GavinRayDev/status/1443279425311805440
But the tl;dr is that:
- There is Jetpack Compose currently, for Desktop, Web, and Android
- And Kotlin Native putting a large portion of resources into Skia bindings (JetBrains calls the lib "Skiko" for Kotlin Native https://github.com/JetBrains/skiko and "Skija")
It's very clear (and there are some employees which have confirmed this IIRC) that they are working on "Jetpack Compose Everywhere" that runs on iOS as well, from a single codebase.
There's the big Kotlin event going on right now, where they just announced the new WASM backend and changes in their compiler + IR commonizing/restructuring ("K2").
- https://blog.jetbrains.com/kotlin/2021/10/the-road-to-the-k2...
- https://www.youtube.com/watch?v=-pqz9sKXatw
The net result is that you wind up with a single language that you can use to write your backend API, your UI code (Jetpack Compose app deployed across Web/Android/iOS/Mac/Win/Linux, or transpile to JS/TS if you just want a web app, etc) and with Kotlin Native even your native, low-level code to integrate with existing C/C++ etc ecosystem.
KN already does automatic bindgen for C and Swift headers, they have direct C++ interop (like Swift does) on their future roadmap as a potential "todo".
All of this is mostly possible already -- I can do the same thing using IE Java, GraalVM, and a transpiler like Google's j2cl or bck2brwser (which is what Gluon uses for JavaFX on the web). Including the "native" part.
IE, here's a contribution I made to get GraalVM producing native binaries using Skia from the JVM + JNI Jetbrains Skia library:
https://github.com/HumbleUI/JWM/issues/158
But Kotlin is pushing the hardest to make this whole platform/stack from native <-> desktop <-> mobile <-> browser a seamless, unified experience. And you can feel it, when you try to do the "whole stack, every platform, one language" thing.
Sorry for the rant and wall of text!
- Thoughts on Clojure UI framework
- The web is swallowing the desktop whole and nobody noticed (2017)
quilc
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Typed Lisp, a primer (2019)
Yes, they use it for their quantum compiler, at RHL Laboratories (it was maybe initiated even at Rigetti). https://github.com/quil-lang/quilc
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I am planning my master's thesis to be about quantum computing and Lisp. Which books do you recommand on the subject ?
QUILC is probably the most interesting project. It is an open-source automatic, retargetable, optimizing compiler for Quil. It can take nearly any quantum computer architecture description and compile+optimize a Quil program for that architecture.
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Lisp For Quantum Simulation?
The QVM does all manner of quantum computer simulations. It specifically simulates a Quil program, with both classical and quantum operators. The QVM has lots of different modes of operation:
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Controlled S gate
You can do this with a compiler like quilc. A program like
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IonQ Develop New Quantum Computing Gate, Only Possible on IonQ and Duke Systems
This is a new physical implementation of a particular mathematical operation, on a specific modality of qubit. The same mathematical operation can be computed on any other quantum computer in production today; very easily so if you use a compiler like QUILC [0].
[0] https://github.com/quil-lang/quilc
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Internships at HRL Labs writing Common Lisp for quantum computers (US only)
For people who maybe already have a job, just want to dip their toes in, or some other life thing that prohibits them from being employed, I’ve done pro bono mentorship sessions to interested individuals, helping them contribute to open source software around this stack, like the quantum compiler. Always happy to discuss that for serious applicants.
- Fast and Elegant Clojure: Idiomatic Clojure without sacrificing performance
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How do you use Lisp at work?
compiler code
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Anybody using Common Lisp or clojure for data science
Yes, simulator, compiler, paper is some of it.
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Compiler in Lisp
Speaking about Common Lisp, the only commercial-level compiler implementation that I know of is https://github.com/rigetti/quilc by /u/stylewarning et al.
What are some alternatives?
tiled - Flexible level editor
criterium - Benchmarking library for clojure
datascript - Immutable database and Datalog query engine for Clojure, ClojureScript and JS
ergolib - A library designed to make programming in Common Lisp easier
skiko - Kotlin MPP bindings to Skia
mgl - Common Lisp machine learning library.
Petalisp - Elegant High Performance Computing
april - The APL programming language (a subset thereof) compiling to Common Lisp.
skija - Java bindings for Skia
screenshotbot-oss - A Screenshot Testing service to tie with your existing Android, iOS and Web screenshot tests