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Mathematics and qubits.

Image Wikipedia/Qubit



"Bloch sphere representation of a qubit. The probability amplitudes for the superposition state, are given by and


Calculating qubits is not harder, than calculating a ball's size in a coordinate system with billions of axles. 


AI is a powerful tool, as we noticed many times. The AI is a tool that can create a new way to control data in the systems. That means the AI can play quantum computer. The AI-based operating systems can make it possible for the networked neurocomputer, to act like a quantum computer. In that neuro system, each binary computer is one state of the virtual qubit. The AI can handle complicated imaginal equations that the system needs to handle qubits in quantum computers. 

The difference between binary and quantum computers and the math behind those things is that in binary computers the "regular mathematics" is needed to control the memory. We can think of the computer's memory as squares. And the system reserves a certain number of those squares in the missions or operands. 

When we calculate qubits we can use formulas that are made for 3D trigonometry. Those formulas go like this (A^2+B^2+C^2). Those equations are connected by the Pythagoras equation (A^2+B^2=C^2). But when we are calculating the distance from some point to another point, we must use two coordinates, X and Y coordinates from the coordinate system. In that case, we handle the 2D coordinates. In qubits theoretically, we must take the Z axle with that thing. So the coordinates of the points are in form X, Y, Z. But in qubits, we must use a coordinate system with billions of axles.

When we calculate the size of the qubits we must determine the ball's center point. The ball is called a qubit. Then we must measure or calculate the distance of the certain point of the ball's shell's distance to the qubit's core. After that, the system must control the energy level of the qubit, so that it can start to synchronize the oscillation with the receiving particle. The system must also notice other things like EM radiation and even gravity waves. 

The problem of those things is that the system must make a slight, ball-shaped qubit. In normal cases, the particle's quantum fields are full of craters and mountains. The system must blow that quantum field to form that is a slight ball to control it. Those mountains and hills on the particles' like electron's quantum fields are the reason why superposition is so hard to make in practical life. 

In quantum computers, the system stores data in the qubit, which we can think of as a ball. So for calculating qubits, we require equations that can handle 3D structures. So we must calculate the ball's size and shape. The suitable form of the equation is the imaginal equation. Or equation must handle the 3D space ball's surface. The problem is that those equations must handle multiple points on the quality and the cubit's shell distance to its core. 

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

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