I am using Qiskit - the simple circuits I am writing can either run on the hardware backend (using least_busy) or the QASM simulator backend.
If I have statements like the following - (
random_numbers were generated using QRNG in the circuits - not shown here)
b = .6 a = .3 flt =  for rn_num in random_numbers: flt.append( b*(a-rn_num) + a * rn_num)
Where are these floating point operations performed? I am connected to IBM Quantum Experience - using Jupyter. Are these operations performed on a traditional machine or a quantum backend?
My understanding is unless it is related to a Quantum circuit - everything gets executed on a traditional machine (similar to print or sockets?)
Is there a document that explains this further? I read release notes - I found them a bit ambiguous. I found this comment in Aer 0.3 release note
Increased performance with simulations that require less floating point numerical precision.
Maybe this note is referring to statevectors in floating point ...??