the running time of multiple threads in reconstruction and DD (Dynamic Definition) query algorithms

[hang-dev]

Here is the relevant configuration of my computer OS: Windows11 Python Version: 3.9.1 CPU: 12th Gen Inter(R) Core(TM) i9-12900HX 2.30G HZ RAM: 16GB I'm having some problems with the toolkit.

1. When I try to cut an 8 qubit circuit into 4 subcircuits with a maximum of 3 qubits, the reconstruction of the circuit results in multiple threads running slower than 1 thread what is the reason for this? and if use this toolkit to cut a large-scale circuit, how to deal with the problem of long reconstruction times?

2. What'more, I see that the paper called 'CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations'mentioned that there is a DD(Dynamic Definition) query algorithm, but it seems that I did not find this algorithm in this toolkit, may be I did not find the interface, could you tell me how to use this method?

[caleb-johnson]

Although cutQC is a legacy tool in this repository, dynamic definition will be added in #285 thanks to a community contribution.

As for these run-times, the problem may not be large enough for you to see an advantage in multi-threading. Do the runtimes behave like this for larger cutting problems?

[hang-dev]

Thank you very much for your answer, it's very helpful!

[garrison]

Closing all CutQC issues now that it has been removed.