quilc
neanderthal
Our great sponsors
quilc | neanderthal | |
---|---|---|
10 | 5 | |
444 | 1,043 | |
1.1% | 0.2% | |
6.5 | 7.0 | |
3 days ago | about 1 month ago | |
Common Lisp | Clojure | |
Apache License 2.0 | Eclipse Public License 1.0 |
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
-
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
-
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.
-
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:
-
Controlled S gate
You can do this with a compiler like quilc. A program like
-
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
-
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
-
How do you use Lisp at work?
compiler code
-
Anybody using Common Lisp or clojure for data science
Yes, simulator, compiler, paper is some of it.
-
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.
neanderthal
- AI’s compute fragmentation: what matrix multiplication teaches us
-
Having trouble setting up Neanderthal.
There is the official Hello World https://github.com/uncomplicate/neanderthal/tree/master/examples/hello-world
- Da li u Srbiji , generalno prostoru balkana , ima "Ozbiljnih" Open source kreatora?
-
Anybody using Common Lisp or clojure for data science
Did you have any occasion to evaluate neanderthal during your research? People seem to prefer it over core.matrix because it focus on primitive speed and sticking to BLAS idioms (as well as offering a decent api for working with GPU backends via cuda and opencl). I am curious to see if you did and found anything lacking there. I have a project on the backburner to try and target neanderthal for local search stuff, expressing problems in a high-level API that can then be baked into some numerically-friendly representation for efficient execution. It's often easier (trivial) to express solution representations, neighborhood functions, and objectives/constraints in a general purpose language, of which none of the things we like (sparse data structures, dynamically allocated stuff) are amenable to the contiguous memory, primitive numeric model that the hardware wants.
-
I want to quit my data analyst job and learn and become a Clojure developer
Do clojure as a side gig or in free time. Let day job pay the bills. If you can, maybe incorporate clojure into work job to solve small problems (https://github.com/clj-python/libpython-clj and https://github.com/scicloj/clojisr provide bridges to/from python and r). There is a lot of effort going into the data science side as well; the scicloj effort has resulted in a lot of growth over the last 2 years. tech.ml.dataset, tech.ml (now scicloj.ml). Dragan has a bunch of excellent stuff in neanderthal and deep diamond. There are also bindings to other jvm libraries from multiple languages.
What are some alternatives?
criterium - Benchmarking library for clojure
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
ergolib - A library designed to make programming in Common Lisp easier
libpython-clj - Python bindings for Clojure
mgl - Common Lisp machine learning library.
deep-diamond - A fast Clojure Tensor & Deep Learning library
april - The APL programming language (a subset thereof) compiling to Common Lisp.
numcl-benchmarks - benchmarks against numpy, julia
skiko - Kotlin MPP bindings to Skia
magicl - Matrix Algebra proGrams In Common Lisp.
screenshotbot-oss - A Screenshot Testing service to tie with your existing Android, iOS and Web screenshot tests
qvm - The high-performance and featureful Quil simulator.