"Researchers at the National Center for Supercomputing Applications are developing new cryptographic standards to protect against quantum computing threats. Their work includes measuring adoption rates and implementing quantum-resistant protocols, with early results indicating gradual progress." (ScitechDaily, Quantum Computing Threatens Cybersecurity: Are We Prepared?)
Mathematicians found the new prime number. (2^136,279,841 )− 1. That is a large number. If the computer uses Riemann's conjecture to break the code, that thing means that it takes a very long time to break the encryption that is made by using prime numbers. The system must try every known prime number for the message.
That means traditional computers may take years to break the code. The neural networks can start simultaneous calculations at multiple points on a number line. And that shortens the time very much the system can consist of thousands of personal computers. And that makes it possible to solve complex cryptological problems in a short time.
The thing that connects neural networks to quantum computers is that neural networks might look like single, solid-core, or monolithic computers. But those networks are multiple computers. Those computers can operate independently. As well as. They can operate as an entirety.
That thing means that when the neural network takes on a new mission, it must not stop. The traditional Turing machine must stop before it takes the new mission. If one unit of the neural network gets stuck, that means other participants will help it. That means the computer that is stuck can clean up its memories. And before it, the other computers can download that data into them.
In the morphing neural networks, the system can analyze what caused the overleak. The morphing neural network means that the role of the participants changes. The AI-based control makes it possible to create a system with advanced self-diagnostics. That kind of system allows to use same systems for multiple uses.
If the system also backs up the RAM- memory to independent hard disks. That denies the data loss if some units must be rebooted. Quantum computers can make similar things. It doesn't need to stop. But the quantum computers are new tools. And there is a long need to use binary computers.
Three most powerful computing systems.
1) PC-computer based neural networks
2) Supercomputer-based neural networks
3) Qauntum computer-based neural networks.
Another thing is that quantum computers are coming. Maybe the NSA already has those systems. But also Chinese and their company states have their quantum computer projects. Those nations have money for that kind of system development.
And that means our data security is endangered. The major problem is that things like RSA encryption are made to protect information against single computers. The major problem is that the RSA encryption algorithms are created for binary computers. It took years to create prime numbers using supercomputers.
The quantum computer can create those prime numbers in less than a second. And that makes them the ultimate problematic tools. Those systems can also create an ultimate defense. The AI-controlled neural networks can also make it possible to create prime numbers more effectively than single computers.
A supercomputer is a powerful tool, but neural networks are more powerful, especially in cases where the system must create the prime numbers from the number line. When somebody asks what is the most powerful computer system in the world, I would answer that the neural network of quantum computers.
https://scitechdaily.com/quantum-computing-threatens-cybersecurity-are-we-prepared/
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