I will get back on this in short.
Now since Quantum works by learning mechanism that is you give teach it some examples and based on which it can intellectually learn billions of inputs and outputs based on that data.
So one day it could happen that there will some meaning to these seeds based on mathematical calculations. It will need huge computing power may be 100's of teraflops at any given time but it could be possible to know what was done on that seed.
I hate to break it to you but you're mixing up machine learning with quantum computing. Those are two wholly different technologies based on fundamentally different concepts.
To make matters worse, not even machine learning works as described above. Cryptographic hashes by definition output pseudorandom data. There's no pattern or bias to be found and accordingly nothing for a neural network to be learnt.
No you are not breaking anything.
My knowledge regarding QC might be tiny but our sole purpose is to have teraflops of computing power. It could be coming from machine learning or i dont know some high tech stuff.
Cryptographic hashes by definition output pseudorandom data. There's no pattern or bias to be found and accordingly nothing for a neural network to be learnt.
This is what one has to extract from the QC's. We don't need patterns, we need data.
@pooya87 rightly pointed out whether its data that we will need or combinations. I am actually thinking on that now.
This is why I already stated it's not fully understood stuff. I am gonna put up more thoughts in this with some concrete supporting material to get full picture.