Also, I recommend you to read Google's quantum paper and quantum attacks on some sort of cryptography things.
If we think about today, we cannot catch up new techs, we should think about future. That is why technology is growing exponential.
Also, I recommend you to read Google's quantum paper and quantum attacks on some sort of cryptography things.
If we think about today, we cannot catch up new techs, we should think about future. That is why technology is growing exponential.
By the way, I mentioned N=NP due to show probably in a few years there is solution of this problem and maybe the end of the bitcoin [1].
As your claim about brute-forcability, I want to say quantum computing is experimental right now but there is working machine and proccesing units of them. In other words, it is not only theoretical and Quantum computing age probably allows to crack these all algorithms probably mine as well with Quantum AI. However, in my opinion, if people do not know how your algorithms work, the attacking possibility is dramatically decreases.It is more difficult to target something unknown.
[1] https://gizmodo.com/if-you-solve-this-math-problem-you-could...
I have only used Bitcoin as a reasonable limit of computation power we can readily make use of. It is completely irrelevant whether Bitcoin is feasible in a long run or not.
> However, in my opinion, if people do not know how your algorithms work, the attacking possibility is dramatically decreases.
There are multiple instances of black-box reverse engineering where attackers were able to determine (and break) the previously unknown algorithm. Your opinion is unsubstantiated. No reason to assume quantum AI at all, which might or might not be helpful for cryptanalysis.
Seriously, I'm okay with learning cryptography by messing with innards, but you need the basic understanding of modern cryptography at the very least, including confusion and diffusion. In particular it is very important to know what not to do, that is critically missing from your claims. Modern cryptographers start learning by breaking existing algorithms known to be faulty by their own. Without this active process you are going to repeat past mistakes.