qvm
py4cl
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qvm | py4cl | |
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7 | 21 | |
403 | 217 | |
1.2% | - | |
4.2 | 2.3 | |
3 months ago | 5 months ago | |
Common Lisp | Common Lisp | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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qvm
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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 ?
Quil's semantics are based off of an idea called the "quantum abstract machine". A piece of software which emulates the quantum abstract machine is called the Quantum Virtual Machine or QVM. It's open source and available here.
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Lisp For Quantum Simulation?
More interestingly, the QVM repository includes a program called the dqvm which is the QVM but able to be run on an MPI cluster. This doesn't use any advanced state representation (such as matrix product states) and instead just very cleverly arranges for huge wavefunctions to be distributed across a cluster of arbitrary size and worked on in parallel.
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The one-more-re-nightmare compiler – A fast regex compiler in Common Lisp
and/or in-line assembly code, and still can't optimize specific matrix shapes and structures, or do algebraic simplifications to eliminate work altogether.
The regex library FTA is a great, and clean, example of a long standing practice of compiling regexen, except it doesn't use any fancy VMs or any fancy JITs, just "when you see this regex, automatically turn it into this Common Lisp code, and let the Lisp compiler handle the rest."
[0a] https://github.com/quil-lang/qvm
[0b] COMPILE-OPERATOR: https://github.com/quil-lang/qvm/blob/master/src/compile-gat...
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How do you use Lisp at work?
quantum computer simulator
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Anybody using Common Lisp or clojure for data science
Yes, simulator, compiler, paper is some of it.
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
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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.
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Newbie questions regarding CL
To call Python libs from CL, see https://github.com/bendudson/py4cl
What are some alternatives?
py4cl2 - Call python from Common Lisp
magicl - Matrix Algebra proGrams In Common Lisp.
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
hy - A dialect of Lisp that's embedded in Python
libpython-clj - Python bindings for Clojure
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
racket - The Racket repository
renegade-way - Option Trading Application
mgl - Common Lisp machine learning library.
cl4py - Common Lisp for Python
quilc - The optimizing Quil compiler.
screenshotbot-oss - A Screenshot Testing service to tie with your existing Android, iOS and Web screenshot tests