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Originally posted by rht May 12, 2023
I was benchmarking cuTensorNet and opt_einsum on the QFT and QAOA circuit, and I found the former to be consistently slower than the latter.
I used the same code in #23 for cuTensorNet, and for opt_einsum:
I think it has something to do with cuTensorNet's path finding being closer to the global optimum. Is there a way to tweak the hyperoptimizer to either stop early, or to have a larger error tolerance, so as to minimize the overall time?
The text was updated successfully, but these errors were encountered:
Discussed in #53
Originally posted by rht May 12, 2023
I was benchmarking cuTensorNet and opt_einsum on the QFT and QAOA circuit, and I found the former to be consistently slower than the latter.
I used the same code in #23 for cuTensorNet, and for opt_einsum:
Plot for QFT:
I think it has something to do with cuTensorNet's path finding being closer to the global optimum. Is there a way to tweak the hyperoptimizer to either stop early, or to have a larger error tolerance, so as to minimize the overall time?
The text was updated successfully, but these errors were encountered: