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quilc | py4cl | |
---|---|---|
10 | 21 | |
444 | 221 | |
1.1% | - | |
6.5 | 2.3 | |
6 days ago | 6 months ago | |
Common Lisp | Common Lisp | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
py4cl
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Need recommendation for IPC with Go
py4cl and cl4py rely on uiop:launch-program and python's subprocess respectively. These are portable to the extent uiop and subprocess are portable and do not require any additional installation.
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Lisp-Stick on a Python
If you want to use Python libs from CL, see py4cl: https://github.com/bendudson/py4cl the other way around, calling your efficient CL library from Python: https://github.com/marcoheisig/cl4py/ There might be more CL libraries than you think! https://github.com/CodyReichert/awesome-cl (or at least a project sufficiently advanced on your field to join forces ;) )
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The German School of Lisp (2011)
FYI you can call Python from CL: https://github.com/bendudson/py4cl and CL from Python: https://github.com/marcoheisig/cl4py/
If you don't know Emacs, see other editors: https://lispcookbook.github.io/cl-cookbook/editor-support.ht... If you want the more Smalltalk-like experience I'd go with the free LispWorks version: it has many GUI panes that allow to watch and discover the state of the program.
I personally couldn't stay long with Hylang. You won't get CL niceties: more language features, performance, standalone binaries, interactive debugger (all the niceties of an image-based development)…
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Plotting
I ended up using a fair bit of matplotlib through college and with colleagues. I too don't want to use python, but I also don't like throwing away its libraries, and I'm too lazy to invest in other* plotting ecosystems. In effect, I use up using matplotlib through py4cl/2.
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numericals - Performance of NumPy with the goodness of Common Lisp
Note that it is not my aim to replace the python ecosystem; I think that is far too lofy a goal to be of any good. My original intention was to interoperate with python through py4cl/2 or the likes, but felt that one needs a Common Lisp library for "small" operations, while "large" operations can be offloaded to python libraries through py4cl/2.
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Good Lisp libraries for math
If performance is absolutely not a concern, then third option is using python libraries through py4cl/2. To put it differently, if calling python from lisp is not the bottleneck, then this is a feasible option.
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Why Hy?
I encourage people to try out Common Lisp because, unlike with Hy, you will get: speed, ability to build binaries, truly interactive image-based development (yes, more interactive than ipython), more static type checks, more language features (no closures in Hy last time I checked), language stability… To reach to Python libs, you have https://github.com/bendudson/py4cl My comparison of Python and CL: https://lisp-journey.gitlab.io/pythonvslisp/
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Tutorial Series to learn Common Lisp quickly
> Not sure if such a thing already exists for CL
couple of solutions exist for this
https://github.com/bendudson/py4cl
https://github.com/pinterface/burgled-batteries
- Calling Python from Common Lisp
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(define (uwu) (display "nya~\n"))
Ahh, makes sense. Well, if you ever wanna steal some of python's thunder, libpython-clj worked great for me lol. Supposedly py4cl fills a similar role in Common Lisp.
What are some alternatives?
criterium - Benchmarking library for clojure
py4cl2 - Call python from Common Lisp
ergolib - A library designed to make programming in Common Lisp easier
magicl - Matrix Algebra proGrams In Common Lisp.
april - The APL programming language (a subset thereof) compiling to Common Lisp.
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
mgl - Common Lisp machine learning library.
hy - A dialect of Lisp that's embedded in Python
skiko - Kotlin MPP bindings to Skia
libpython-clj - Python bindings for Clojure
screenshotbot-oss - A Screenshot Testing service to tie with your existing Android, iOS and Web screenshot tests
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.