quilc
april
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quilc | april | |
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10 | 52 | |
444 | 580 | |
1.1% | - | |
6.5 | 7.3 | |
6 days ago | about 2 months ago | |
Common Lisp | 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.
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.
april
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Thinking in an Array Language
There are attempts to combine those...
April (Array Programming Re-Imagined in Lisp)
https://github.com/phantomics/april
> operations that apply to the whole array
like MAP and REDUCE, higher order functions are not really new to Lisp. In Common Lisp they are extended to vectors.
> list languages and array languages are quite different.
There are some common things like interactive use, functional flavor, etc.
- April
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A Personal History of APL (1982)
There's also April APL: https://github.com/phantomics/april
Also the array language family seems to be stronger than ever with foss: ngn/k, BQN, uiua, and of course J but as you mentioned they're all different languages.
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The C juggernaut illustrated (2012)
I love J and APL, but April takes the cake for me[1]. APL in Lisp.
I also prefer SPARK2014 instead of Rust if I am not going to use C. I've started learning Rust a few times. SPARK2014 is easier to get going for me, and it has been used to produce high-integrity software and real-world applications for over a decade, and more if you include Ada from which it sprang[2].
[1] https://github.com/phantomics/april
[2] https://www.adacore.com/about-spark
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Erlang: The coding language that finance forgot
The one big use case was RabbitMQ in a messaging app, not HFT. I doubt Elixir even with Nx can compete with low-level HFT code. Python DL/ML code libraries are just wrappers around C too. Maybe if BeamAsm and Nx are used Elixir could be used for more numerical or not just distributed applications.
I've programmed in Python and Julia, and when I worked at an engineering (mechanical, entertainment engineering) company, Julia was great for its similarity to Matlab. I am a self-taught engineer, so I did not get pulled into Matlab in college.
Personally, I took to Erlang, so I could write plugins for Wings3D back in the early 2000s, but I never stuck with Erlang, or Wings3D (Blender3D was my choice and I even contributed to have it go opensource way back when). I like Erlang's syntax better for some reason, although Elixir's is beautiful too. I was not a Ruby programmer, and I had delved into Haskell and Prolog, so I think Erlang made more sense to me. I think Elixir has a lot more momentum behind it than Erlang, but at the root it's Erlang, so I think I'll stick with Erlang for BEAM apps. My favorite language is April[1] (APL in Lisp), and given my love of J, would be a better fit for any finance apps I might write. I am trying to convert some of the Lisp code in this book, "Professional Automated Trading: Theory and Practice" to April.
Maybe I'll write some equivalent Elixir code to compare.
[1] https://github.com/phantomics/april
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Learn Lisp the Hard Way
I'm also very curious for hear from expert lispers. I've tried to find the sweat spot where lisp would fit better than what I already know: shell for glue and file ops, R for data munging and vis, python to not reinvent things, perl/core-utils for one liners. But before I can find the niche, I get turned off by the amount of ceremony -- or maybe just how different the state and edit/evaluate loop is.
I'm holding onto some things that make common lisp look exciting and useful (static typing[0], APL DSL[1], speed [2,3,4]) and really want to get familiar with structural editing [5]
[0] https://github.com/phantomics/april - APL dsl
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The APL Programming Language Source Code (2012)
The 2 0 at the start of the APL line above controls the mirroring behavior. The second number can be set to 0 or 1 to choose which side of the image to mirror, while the 2 sets the axis along which to mirror. This will be 1 or 2 for a raster image but this function can mirror any rank of array on any axis.
April was used to teach image filtering in a programming class for middle-schoolers, you can see a summary in this video: https://vimeo.com/504928819
For more APL-driven graphics, April's repo includes an ncurses demo featuring a convolution kernel powered by ⌺, the stencil operator: https://github.com/phantomics/april/tree/master/demos/ncurse...
- I’m trying Advent of Code in APL and Common Lisp with April
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I spent the last 2 months converting APL primitives into executable NumPy
#1: Thanks to J, I was able to get in the global Top 100 in the first day of Advent of Code. I've never done this before and I'm feeling a bit emotional. Thanks, J. #2: April 1.0 Is Released | 4 comments #3: BQNPAD — a BQN REPL with syntax highlighting and live evaluation preview | 8 comments
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APL deserves its Renaissance too
APL + Lisp =
https://github.com/phantomics/april/ and yes it is used in production©!
> What pushed the development of April really is that April is used by a hardware startup called Bloxl (of which I am the CTO). There are other users but Bloxl is the flagship application.
https://www.arraycast.com/episodes/episode23-andrew-sengul
Bloxl in use: https://user-images.githubusercontent.com/3721004/159686845-... See also the ELS conference 2022.
What are some alternatives?
criterium - Benchmarking library for clojure
BQN - An APL-like programming language. Self-hosted!
ergolib - A library designed to make programming in Common Lisp easier
stumpwm - The Stump Window Manager
mgl - Common Lisp machine learning library.
common-lisp-stat - Common Lisp Statistics -- based on LispStat (Tierney) but updated for Common Lisp and incorporating lessons from R (http://www.r-project.org/). See the google group for lisp stat / common lisp statistics for a mailing list.
skiko - Kotlin MPP bindings to Skia
APL - another APL derivative
screenshotbot-oss - A Screenshot Testing service to tie with your existing Android, iOS and Web screenshot tests
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
qvm - The high-performance and featureful Quil simulator.
numcl - Numpy clone in Common Lisp