You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
MQT Bench currently doesn't support generating adapted QIR with circuits transpiled to an arbitrary native gate set.
Describe the solution you'd like
MQT Bench could support QIR for transpiled circuits to an arbitrary native gate set. This would allow us, for example, to better train ML models for scheduling and pass selection within the MQSS.
The text was updated successfully, but these errors were encountered:
Thanks for creating this issue.
This should work nicely together with #437
Note that we will need to investigate how we can formulate all of the different gates supported by devices in terms of QIR's __quantum__qis__ functions.
As far as I am aware, there is no "standard library" for QIR quantum gates and everyone literally defines their own set of functions.
I am not quite sure how libraries for translating between qiskit and QIR handle this in general. Should be solvable though.
What's the problem this feature will solve?
MQT Bench currently doesn't support generating adapted QIR with circuits transpiled to an arbitrary native gate set.
Describe the solution you'd like
MQT Bench could support QIR for transpiled circuits to an arbitrary native gate set. This would allow us, for example, to better train ML models for scheduling and pass selection within the MQSS.
The text was updated successfully, but these errors were encountered: