Quantinuum Updated +Created
Merger between Cambridge Quantum Computing, which does quantum software, and Honeywell Quantum Solutions, which does the hardware.
SageMath Updated +Created
A Python wrapper over a bunch of numeric and computer algebra system packages to try and fully replace MATLAB et. al.
For example, their
Quickstart tutorial at: www.sagemath.org/tour-quickstart.html From this we see that they are very opinionated, you don't need to import anything, everything has a pre-defined global name, which is convenient, e.g.:
is the 3D vector space over the rationals. This also suggests that they are quite focused on computer algebra as opposed to numerical.
Silicon photonics Updated +Created
Video 1.
Silicon Photonics: The Next Silicon Revolution? by Asianometry (2022)
Source.
Video 3.
Silicon Photonics for Extreme Computing by Keren Bergman (2017)
Source.
Epistle to the Romans Updated +Created
IonQ Updated +Created
Video 2. Source. Co-founder of IonQ. Cool dude. Starts with basic background we already know now. Mentions that there is some relationship between atomic clocks and trapped ion quantum computers, which is interesting. Then he goes into turbo mode, and you get lost unless you're an expert! Video 1. "Quantum Simulation and Computation with Trapped Ions by Christopher Monroe (2021)" is perhaps a better watch.
Loxbridge Updated +Created
lspci Updated +Created
lspci is the name of several versions of CLI tools used in UNIX-like systems to query information about PCI devices in the system.
On Ubuntu 23.10, it is provided by the pciutils package, which is so dominant that when we say "lspci" without qualitication, that's what we mean.
NumPy Updated +Created
The people who work on this will go straight to heaven, no questions asked.
Protein dimer Updated +Created
Qiskit Aer Updated +Created
QMUL research group Updated +Created
RISC-V timer Updated +Created
@cirosantilli/_file/python/pytorch/python/pytorch/matmul.py Updated +Created
NumPy does not automatically use the GPU for it: stackoverflow.com/questions/49605231/does-numpy-automatically-detect-and-use-gpu, and PyTorch is one of the most notable compatible implementations, as it uses the same memory structure as NumPy arrays.
Sample runs on P51 to observe the GPU speedup:
$ time ./matmul.py g 10000 1000 10000 100
real    0m22.980s
user    0m22.679s
sys     0m1.129s
$ time ./matmul.py c 10000 1000 10000 100
real    1m9.924s
user    4m16.213s
sys     0m17.293s
gnuplot Updated +Created
Tends to be Ciro Santilli's first attempt for quick and dirty graphing: github.com/cirosantilli/gnuplot-cheat.
domain-specific language. When it get the jobs done, it is in 3 lines and it feels great.
When it doesn't, you Google for an hours, and then you give up in frustration, and fall back to Matplotlib.
Jupyter Notebook Updated +Created
A waste of time. Output in my source files pollutes git and prevents me from editing it in Vim. Just let me run the freacking code and render images as standalone PNGs which I can include from Markdown.
Prokaryotic large ribosome subunit Updated +Created
Python Protocol Updated +Created

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