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Resource Estimations are a great way to help users with the solver selection.
(Less resources = better, even though they dont give any hint about solution quality)
Resource Estimations are a great way to help users with the solver selection.
(Less resources = better, even though they dont give any hint about solution quality)
For Quantum Algorithms, we could use Azure Quantum Resource Estimator:
https://github.com/microsoft/qsharp/tree/main/resource_estimator
It definetly supports Qiskit and Q# Sharp, we have to check if it can support Qrisp, Cirq, and others.
We should also look at other works, here is a good starting point: https://sites.google.com/view/qce2024-qre-workshops
Resource Estimations for classical Algorithms should also exist. We need to make a literature research for that case.
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