quilc
coalton
quilc | coalton | |
---|---|---|
10 | 84 | |
444 | 991 | |
0.7% | 1.8% | |
6.5 | 8.4 | |
9 days ago | 6 days ago | |
Common Lisp | Common Lisp | |
Apache License 2.0 | MIT License |
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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.
coalton
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How to Write a (Lisp) Interpreter (In Python)
It's still… not the same. In CL (and specially with SBCL), we get compile time (type) errors and warnings at the blink of an eye, when we compile a single function with a keystroke (typically C-c C-c in Slime).
And there's also been improvement, see Coalton for a ML on top of CL. (https://github.com/coalton-lang/coalton/)
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Typing Haskell in Haskell
For the parenthetically inclined among us, there's also an implementation in Coalton: <https://github.com/coalton-lang/coalton/tree/main/examples/t...>
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Embracing Common Lisp in the Modern World
Common Lisp has bad marketing (even OCaml has Twitch streamers and "influencers" now), and bad support for general editors, both of which make it a non-starter for most curious people who have an afternoon to try something. But behind all that is magnificent activity for those who got over the initial potential energy barrier. Just to give some examples:
1. SBCL, the most popular open source implementation of Lisp, is seeing potentially two new garbage collectors. One of them is a parallel collector written by a university student (!!) which blows my mind.
2. SBCL has better and better support for deploying Liwp as a C-compatible shared library, using SBCL-LIBRARIAN. It makes it play nicer with other applications in C and Python.
3. Coalton is another exciting development that allows a Haskell type system and "Lisp-1" functional programming in Common Lisp. That means type classes (or traits), something Lisp hasn't really had a proper notion of, and full type inference. Persistent sequences based off of RRB-trees were recently merged, and interestingly, they're implemented purely in Coalton [1]. That means Clojure-like seqs.
It's interesting to see users of Lisp generating the above ideas and libraries, not a special in-group of committees, "official" developers, etc.
[1] https://github.com/coalton-lang/coalton/blob/main/library/se...
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Steel – An embedded scheme interpreter in Rust
Use an editor that auto-inserts parens and that indents the code correctly. Now nothing bad can happen. And the parens are used to edit code structurally.
re typing: Coalton brings Haskell-like typing on top of CL. https://github.com/coalton-lang/coalton/ Other lisps are typed: typed racket, Carp… and btw, SBCL's compiler brings some welcome type warnings and errors (unlike Python, for instance).
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Show HN: Collaborative Lisp Coding on Discord
If you like type safety, this project would be perfect for using https://coalton-lang.github.io/ so your REPL supported Common Lisp out of the gate.
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A fully-regulated, API-driven bank, with Clojure
Agree that you can use types to express and prove logical properties via compiler; it can be a fun way to solve a problem though too much of it tends to frustrate coworkers. It's also not exactly "low cost"; here's an old quip I have in my quotes file:
"With Scala you feel smart having just got something to work in a beautiful way but when you look around the room to tell your clojure colleague how clever you are, you notice he left 3 hours ago and there is a post-it saying use a Map." --Daniel Worthington-Bodart
> On the contrary, they're still the most effective technique we've found for improving program correctness at low cost.
This is not borne out by research, such as there is any of any quality: https://danluu.com/empirical-pl/ The best intervention to improve correctness, if not already being done, is code review: https://twitter.com/hillelogram/status/1120495752969641986 This doesn't necessarily mean dynamic types are better, just that if static types are better, they aren't tremendously so to obviously show in studies, unlike code review benefit studies.
My own bias is in favor of dynamic types, though I think the way Common Lisp does it is a lot better than Python (plus Lisp is flexible enough in other ways to let static type enthusiasts have their cake and eat it too https://github.com/coalton-lang/coalton), and Python better than PHP, and PHP better than JS. Just like not all static type systems are C, not all dynamic type systems are JS. Untyped langs like assembly or Forth are interesting but I don't have enough experience.
I don't find the argument that valuable though, since I think just focusing on dynamic vs static is one of the least interesting division points when comparing languages or practices, and if we're trading experience takes I think Clojure's immutable-by-default prevents more bugs than any statically typed language that is mutable by default. It's not exactly a low cost intervention though, and when you really need to optimize you'll be encouraged by the profiler to replace some things with Java native arrays and so on. I don't think changing to static types would make a quality difference (especially when things like spec exist to get many of the same or more benefits) and would also not be a low cost intervention.
Last quip to reflect on. "What's true of every bug found in the field? ... It passed the type checker. ... It passed all the tests. Okay. So now what do you do? Right? I think we're in this world I'd like to call guardrail programming. Right? It's really sad. We're like: I can make change because I have tests. Who does that? Who drives their car around banging against the guardrail saying, "Whoa! I'm glad I've got these guardrails because I'd never make it to the show on time."" --Rich Hickey (https://www.infoq.com/presentations/Simple-Made-Easy/)
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Coalton to Lispers without a background in ML-like languages
Coalton seems great, I love the idea. This issue seems problematic, though: https://github.com/coalton-lang/coalton/issues/84
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Compiler Development: Rust or OCaml?
> Lisps can be very flexible, but they usually lack static type safety, opening a wide and horrible door to run-time errors.
People should do basic research before writing something silly like this. Qualifying your statement with 'usually' is just a chicken sh*t approach. Common Lisp and Racket have optional strong typing, leaving the responsibility and choice to the developer. Common Lisp is great for implementing compilers. You also have thing like Typed Racket and Coalton. The latter is comletely statically typed ala MLTON
https://github.com/coalton-lang/coalton
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Why I Still Lisp (and You Should Too)
Have you checked out Coalton? It allows static typing a la Haskell within Common Lisp. Fully interoperable with CL, including through SLIME etc.
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Common Lisp for large software
I've not regretted using Common Lisp for large, professional projects. However, I started Coalton so that some parts of a Common Lisp project can have strong, static, strict types—reaping benefits of compile-time errors and increased efficiency when I need it, without having to rewrite everything.
What are some alternatives?
criterium - Benchmarking library for clojure
awesome-lisp-companies - Awesome Lisp Companies
ergolib - A library designed to make programming in Common Lisp easier
hackett - WIP implementation of a Haskell-like Lisp in Racket
mgl - Common Lisp machine learning library.
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
april - The APL programming language (a subset thereof) compiling to Common Lisp.
racket - The Racket repository
skiko - Kotlin MPP bindings to Skia
phel-lang - Phel is a functional programming language that transpiles to PHP. A Lisp dialect inspired by Clojure and Janet.
screenshotbot-oss - A Screenshot Testing service to tie with your existing Android, iOS and Web screenshot tests
cl-cookbook - The Common Lisp Cookbook