Not space complexity this time.
Just want to know the limitations of its performance
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Sign up to join this communityNot space complexity this time.
Just want to know the limitations of its performance
Time complexity in itself does not care how you solve the problem. If you have a solution on a classical machine that takes $O(n)$ and a quantum one that also takes $O(n)$ then both are equally good complexity-wise (practically: probably the classical one being cheaper, more pragmatic etc.)
If you have a solution that is $O(n^4)$ on a quantum or classical machine, it is theoretically decent (polynomial), but practically not very useful For relatively small inputs of size ~100k we'd need $10^{20}$ operations, which regardless of their speed will take thousands of years to complete.
Sometimes we see researchers excited that best known classical algorithm is exponential, but there is a quantum equivalent that gives good results with solid probability and complexity $O(n^4)$ or so. These are interesting from a research standpoint, and for some applications can make a big difference, but as a rule of thumb - they are not practically useable.