Silicon carbide can be a key to a new type of quantum network.

The dawn of quantum brains. 

There is new silicon-carbide-based material. That brings researchers one step closer to quantum networks. The link to that article is here and below this text. 

Maybe the futuristic quantum brains are looking like this. The 3D atomic structure where the electron-based qubits are transferring data in the electron chains and the atom-sized structures that act like neurons. 

The system would make the revolution in the quantum systems. Theoretically is possible to make a quantum computer that can operate at room temperature. The AI makes it possible to calculate how much power the resistance of the wires is sucking from the qubits at a certain distance. That makes it possible to calculate the point where the qubit delivers energy and where it reaches a certain state of the qubit. 

The problem with quantum computers is that they are loading information in electrons or some other particle. Then that thing will shoot to receive or data is sent by using superposition. In some visions, the qubit is shot through nanotubes to receivers.

But the problem is that the qubit requires extremely stable conditions. The outcoming radiation makes that qubit useless. Also, things like gravitational waves can affect the trajectory of the qubit. 

So, how to make more powerful quantum computers that can operate in higher temperatures. One version is to use the molecular structure where the electrons are traveling as they would travel in the normal wires. 

The idea of the quantum wires in this case is. That they are transporting qubits like other electrons. But in that case, the electron would transmit data in its internal structure. When an electron travels from another atom to the next atom. There is the possibility to calculate how much energy is delivered in that case. Theoretically is possible to transport the data of qubits by using the electron chains.

In that case, the electron transfers the information to the next electron. And that means the information can travel in the quantum computer like in regular electric wires. That means the superconducting wires can use as the data transporters in quantum computers. But in the wild visions, the quantum computer can operate also at room temperature. 

The room temperature operating quantum computer requires information on how much power the resistance of the wire sucks from qubits. And of course, the required information is what is the distance where the qubit reaches a certain energy level. That information allows the quantum computer can deliver information of the qubit at a certain point of that cable. 

There is one wild vision. That is connected with neurology and quantum computers. The idea is that the axons or qubit channels are surrounded by fast rotating plasma or quantum tornadoes. That thing makes the time dilation in the brains. And it makes it possible to create a system, that has more time to handle problems. But that thing is a theoretical way to connect quantum systems with biological brains. 

Sources: 

https://scitechdaily.com/new-silicon-carbide-qubits-bring-us-one-step-closer-to-quantum-networks/

Image)  https://scitechdaily.com/new-silicon-carbide-qubits-bring-us-one-step-closer-to-quantum-networks/

https://thoughtsaboutsuperpositions.blogspot.com/

Emulating the human way to think is very difficult. But maybe someday, quantum computers will become more intelligent than humans.

When we think what is the thought about the human way to think. We must remember that making the spontaneously learning computer. It can be made by using a quantum computer. The learning process of the living organism is just connecting the action with the observation. And that thing makes spontaneously learning artificial intelligence harder to make as it should be. In real life, all that we see and feel are causing experience. 

So theoretically, the learning machine must only record everything that it sees. But the problem is how to select things that are important for the individual? If the system records everything that means the databases are growing to enormous size. And that thing makes it hard to control data masses that are stored in the system.

 Even the largest databases have limits. And in the case of artificial intelligence, the databases should be as small as possible. The system makes the network of those databases. So sometimes people are asking why there are so many neurons in our brains. The reason for that is that a large number of neurons are making sure that if one neuron is damaged that minimizes the damage. 

So if we want to simplify that thing. We can make a copy of human brains by using 300 billion databases. And then we must realize that there are no binary computers that can handle that kind of number of databases. But for the quantum computer and especially quantum annealing computers that are forming of the cloud of quantum particles. The capacity of those quantum computers that are using quantum fog as the group of qubits has no limits. 

In those hypothetical computers, the quantum particles like Bose-Einstein condensate, extremely cold fullerene, or neutrons are acting as the neurons in human brains. And the extremely precisely calculated and controlled laser rays are acting as the axons. 

By using the quantum brains there is the possibility to handle that kind of extreme entirety. In quantum brains, the quantum fog is used as the role of the neurons. The extremely cold Bose-Einstein condensate can be used in this kind of role. And the high-accurate laser rays can be used as axons. 

The vibration of the quantum fields around the condensate would play the role of a membrane of the neurons. One of the most interesting versions of quantum fog is the neutron cloud. The neutrons can anchor in stable positions and the extremely small laser rays can make the quantum brains possible. The fullerene molecules can also be used for that purpose. And if that thing is also equipped with the small superconducting mass memories that system can form the most powerful data-handling unit in the universe. 

The size of that kind of system is no limit. And some futurologists are thinking that there could be giant Dyson's spheres somewhere in the universe that can handle the quantum clouds computers that are the size of planetary systems. That kind of system might have the capacity that we cannot ever even imagine. 

https://scitechdaily.com/developing-artificial-intelligence-that-thinks-like-humans/

https://visionsofbrightfuture.blogspot.com/