8000 Qiskit simulator is 100x slower instead of 10x slower when running 1 nlopt.opt optimization · Issue #99 · jpmorganchase/QOKit · GitHub
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Qiskit simulator is 100x slower instead of 10x slower when running 1 nlopt.opt optimization #99
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Qiskit simulator is 100x slower instead of 10x slower when running 1 nlopt.opt optimization#99
@rht

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@rht
rht
opened on May 28, 2025

Branching off from #98, I ran https://github.com/rht/QOKit/blob/main/minimal_reproducer_from_scratch_v1.py which builds $\gamma$ and $\beta$ layer by layer. At p=1, I did 400 initial values chosen at random and optimize it. The Fur GPU simulator took about ~0.1 s to finish 1 BOBYQA optimization, but the Qiskit cuStateVec took about ~10 s. This amounts 100x speedup, contrary to figure 1 in https://www.jpmorgan.com/technology/technology-blog/quantum-optimization-research, which shows 10x speedup only. Any idea if I could be messing up something?

Both are Fur and Qiskit run on NVIDIA cuQuantum Appliance 25.03. There is even this warning message:

/opt/conda/envs/cuquantum/lib/python3.11/site-packages/cuquantum/__init__.py:6: DeprecationWarning: custatevec module is deprecated and will be removed in a future release, please switch to bindings.custatevec.

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