I have been wondering; what is everyone’s favorite way to do long training/simulation runs? Ones that take hours or days to finish, and which you’d really rather not have tying up your PC for that length of time?
I’ve been running a variational binary classifier of 8 qubits and each training iteration takes a few minutes. Depending on the problem it can take hours or even days to converge on a good set of variational parameters that can actually classify with acceptable accuracy. I have been running it locally on my desktop but recently I have been experimenting with running my circuits on AWS, using both their EC2 and Sagemaker services. These work but I have noticed sometimes my time per iteration will more than quadruple for seemingly no reason. That wasn’t the problem I was hoping to address here though, I was just interested in seeing what methods people like to use for their “long haul” training runs.