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Description
Describe the bug
It seems like MacOS users are experiencing poor performances when building circuits with TQEC. It would be nice to be able to measure that objectively.
Steps to reproduce the behavior
With main.py being
from tqec import Basis, NoiseModel, compile_block_graph
from tqec.gallery.cnot import cnot
block_graph = cnot(Basis.Z)
correlation_surfaces = block_graph.find_correlation_surfaces()
compiled_computation = compile_block_graph(
block_graph, observables=[correlation_surfaces[1]]
)
circuit = compiled_computation.generate_stim_circuit(
k=2,
noise_model=NoiseModel.uniform_depolarizing(0.001),
)do the following
python -m pip install tqec[bench]
python -m pyinstrument -o benchmark.html -r html main.pytrying to reduce as much as possible the parallel load on your computer (if possible, close all other applications, do nothing on your computer during the benchmark, ...).
Then, share the following information:
- the
benchmark.htmlfile that has been generated (I have vague memories of GitHub not accepting such files as attachments, if that is still the case I'll open a discussion on the Google group), - as many details about your computer as you can (OS, processor, amount of RAM, Python version, output of
python -m pip freeze, ...).
For laptop users only:
- first, do the benchmark with your regular setup (i.e., without touching anything related to power),
- if you have the time to do so, it would also be interesting to re-do the benchmark with your laptop plugged-in and in charge mode,
- if you have even more time and willingness it would be interesting to try to disable power sav 654D ing options and re-do the benchmark.
For reference, on my computer:
python main.pytakes ~14.5s,python -m pyinstrument -o benchmark.html -r html main.pytakes ~22.5s.