AI can boost the power of traditional binary computers.

Image 1) Simplified neural network.

The binary computers are not yet history. The AI-based kernels can also make binary computers faster than ever before. The well-known binary chips can operate as groups and emulate quantum computers. In this model, the group of binary computers operates like quantum computers.

The port processor will cut the data flow into pieces. And then those pieces of data frow will send to different processors. The system can give a serial number for each data bite. And that makes them easy to reconnect to a new entirety. The topology of that kind of system is like that in any neural network. 

Image 1 is the simplified version of this kind of system. The port processor is the input tool. And it shares data with other processors that are sending it to the output processor that connects the data flow to one entirety. 

I recently wrote about that technology. This type of system can operate in lightweight devices that do have not the similar capacity to some large computer centers. This type of system is suitable for robots. They are lightweight and do not use very much energy. 

Artificial intelligence can control those processors very effectively. It can use them as independent processors. 

Or it can connect them to one entirety. The system can simply put data into pieces. And reconnect it at another side of the computing process. 

Image 2) (Token) Ring topology. 

Things like old-fashion "(token) ring topologies" (Image 2) can also be useful in processed calculations. In this model, every single computer is handling its stage in the ring-type protocol. And if there is a connection to the star type protocol the system can reprogram the computer when it is done its job and turns to free. 

Also, the hybrid token-ring-star topology allows the system can transfer the answers between that ring. And that allows multi-layer computing by using old-fashion protocols. Or at least it makes it easy to check calculations by using two different points that are moving inside the (token) ring. 

Image 3: Star topology

The first point is the solution. Then the system will boot the computers or reprogram them. And then the system makes a retake of calculations. If the results are the same the answer is right. 

Quantum computers can also connect to similar network topologies as binary computers. Quantum computers can connect by using cables or radio systems. 

If those systems are connected with radio systems. Each frequency of the radio transmitter can be used to send each layer (or state) of the qubit. A Quantum system can create qubits by using different radio frequencies. In that model, each radio frequency is acting as a different state of the qubit. Or quantum computers can use regular cables. 

At first, the quantum computer will transmit qubits to the cable as data rows. Each state will make different data bite series. That thing makes quantum computers communicate with each other. 

The reason why connecting quantum computers is important is quantum entanglement. The system cannot keep quantum entanglement forever. 

When the energy level at both sides of quantum entanglement turns to same. That destroys the connection. When that happens the quantum computer must re-adjust the quantum entanglement. If there is another quantum computer or quantum unit, the system can send the solution or the calculation stage to the next unit that continues its work. 

The binary computer requires only a few modifications to turn into a lightweight quantum system. The system requires only an extra wire. That wire that travels outside the processor is reserved for values 0 and 1. And processor itself can be reserved for values 2 and 3. 

The binary microchips are suitable for lightweight quantum computers. In this kind of system, the value zero is outsourced for the different wires. If electricity is on in that wire the computer power is on. And the value is one. If the electricity in that wire is off the value is zero. 

That allows the microprocessor to flow itself between values 2 and 3. That thing increases its power. So, values 0 and 1 are in the bypass cable, and values 2 and 3 are in the binary processor. That thing is the model of so-called lightweight quantum systems that can be useful in mobile devices.