Quantum algorithm vs. binary algorithms.

Image: Quanta Magazine

The biggest difference between quantum and regular algorithms is that in quantum algorithms or in quantum networks data is connected to physical items. Sometimes people misunderstand the terms algorithms and networks. Networks are things. That transport data. 

Algorithms are programs that compute data. The term quantum algorithm can mean the calculation program that handles very long decimal numbers. That can involve tens of millions of numbers. The biggest problem with quantum computers is temperature. 

Those systems require so powerful coolers that they are factory-size systems. The compact-size quantum computers are on the door. But that means they are room-size monsters. Those systems require supercomputers that can operate their operational systems. A good and powerful alternative for supercomputers is the morphing neural network. 

That makes it possible that the qubit's values can be zero and one. This allows the system can make many operations at the same time. The binary network's values can be 0 or 1. The things called morphing neural networks can also make binary computers make many things at the same time. The system shares missions between different computers. 

The question is what is the most powerful computer in the world? The answer is interesting. The most powerful or fastest computer depends on the formula that the system should make. If we want to calculate simple calculations like 1+1 the most effective system is the credit-card size calculator. 

The thing. That decreases the quantum computer's power is that making the quantum entanglement there data travel in those systems takes time. That makes the quantum computer slower in the simple algorithms. Quantum computers are most powerful when the system must handle multiple variables and complicated formulas. 

The thing is that the quantum computer is not the best tool in the world. If we want to make simple calculations. 

There are calculations that the that the normal computer makes the universe's entire lifetime. 

And the quantum system makes that thing in minutes.

But then the morphing neural networks are tools that can make many things faster than the regular computer. The morphing neural network is a group of binary computers. That means they can share complicated series. With each other. 

The AI-based binary systems can jump over the zero points of Riemann's conjecture. So AI is the game changer in all of those things. 

Another thing is that. The new high-power binary systems are not like traditional binary systems. 

There the data goes in different wires. And that solves the "zero" problem. 

The zero problem means that the system must separate breaks in the data row from zero. 

And the system must also know. If the system is switched off. 

The system must also separate two zeros from each other. That's why there can be a different wire that shows when power is on and off. And data can travel in different wires.  The system must give serial numbers to ones and zeros. If they travel through different wires. It can sort them into the right order. 

Or there can be two low states in one wire. That allows the system to separate zeros from breaks. Low states like  3-5V are zeros. And 3-0 V is the break. And it accelerates the system's speed. 

And then the final question: which system breaks the RSA algorithm fastest? The morphing neural network or quantum computer? The RSA encryption uses Riemann zeta function. The morphing neural network can begin the code-breaking in the many points in the number series that Riemann zeta function creates. The system can use a number row that was created before. 

The code-breaking operation is not the same as calculating more numbers to the Riemann's series. Or a series of binary numbers. The idea of Riemann zeta function is that the formula generates only binary numbers. That thing means that it should protect the data. 

But if there are zero points that formula can generate also other than binary numbers. And the AI-based encryption systems can jump over those points. The Riemann's series can be programmed to the morphing neural network. Each computer takes the bite or sequence of that number row under the handle. 

https://www.quantamagazine.org/quantum-speedup-found-for-huge-class-of-hard-problems-20250317/

https://en.wikipedia.org/wiki/Riemann_hypothesis