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We should periodically (e.g. once a day?) run a set of sample circuits to track performance of qFlex, both in terms of memory cost and simulation runtime. Some options for this:
Run each circuit that has a hand-crafted ordering, at a reasonable depth (e.g. runtime < 30s)
Pros: using a fixed circuit set gives clearer comparisons between runs
Cons: might be biased towards these specific circuits
Generate circuits and orderings for each grid (via generator.py and order_circuit_simulation.py) and run several for each (e.g. 30 each, runtime < 1s)
Pros: more varied coverage for different circuit layouts (but still restricted to QS circuits)
Cons: more difficult to compare between runs, still biased towards QS circuits
Create a tool for generating truly random circuits (i.e. no fixed placement for 2-qubit gates) and follow the plan in (2), using the new tool to generate circuits
Pros: best option for covering various circuit layouts
Cons: time cost of writing tool, potential for untested layouts to misbehave (e.g. excessive runtime or memory usage), very difficult to compare between runs
The text was updated successfully, but these errors were encountered:
We should periodically (e.g. once a day?) run a set of sample circuits to track performance of qFlex, both in terms of memory cost and simulation runtime. Some options for this:
generator.py
andorder_circuit_simulation.py
) and run several for each (e.g. 30 each, runtime < 1s)The text was updated successfully, but these errors were encountered: