The quantum mind has electric dreams.

If artificial intelligence will connect with virtual simulation. It can give it the "imagination" or abstract thinking.

The new findings of quantum systems are the key to creating flat quantum processors. The light source called "soliton" (1) can create solitary pulses with consisting timing(2). That thing can benefit the flat quantum processors. Which are necessary for compact-size quantum computers.

If we are thinking that a flat quantum processor is two graphene layers that are less than the atom-size distance from each other the system might benefit from the quantum algorithms that keep the ion standstill in a certain position(3). That thing can use for creating new and more compact quantum microchips. In that system, the ions like protons will keep hovering in a certain position.

And the quantum annealing will turn those protons to operate as the qubit. Quantum-based artificial intelligence can use the three types of sources. For quantum annealing. The system can use those three atom groups as the nervous system. That kind of system is needed to run extremely complicated code. That kind of code is needed for operating in non-predictable areas.

What if the quantum computer would have "imagination" or abstract operating level. At that level, the AI can use virtual tools for learning new solutions. That is like imagination. That abstract level would be the simulation that updates all the time. The AI would operate in that virtual environment all the time by using virtual tools like driving virtual vehicles. That kind of thing allows the AI to train without causing danger.

And the certain group of atoms has the match in certain lobe in our brains. This kind of quantum brain is hypothetically extremely powerful. But when we are thinking about quantum AI that thing faces the problem of the barren plateau(4).

This kind of problem is that if artificial intelligence would not have the ability to get enough data it cannot solve problems. Or actually, it gets data. But that data connects to the fixed situations.

The AI requires multiple and well-networked databases. For successful independent operations. The barren plateaus can also be called lack of stimulus. In the cases. That AI cannot face new challenges. It cannot create new databases and connections between databases. If the computer would not have a chance to test its skills it would not ever get answers.

One way to solve the barren plateau problem is to connect artificial intelligence to a simulator where is driven by data from the streets and nature. If that thing is updating all the time. That thing keeps the virtual environment rich. And that thing makes it possible to create more solutions for the AI than using some stable or fixed simulations.

In that case, there are three systems. The simulator which is storing the situations that the surveillance systems are getting. Then there is the AI that operates in this kind of virtual world that updates all the time. Then the AI would test its ability to solve problems.

And the third part is the human operator or the "super AI". The purpose of that top part is to accept or deny things. That the AI used while it solves problems. The idea of this kind of simulation is that the situation is downloaded to the server.

Then the AI tries to operate in that area by using virtual tools that are reacting like real things. And if there is some kind of danger the AI would ask human operators to solve the problem. Then the solution is stored in the databases of the artificial intelligence. This kind of virtual portal can call as the abstract level of the AI.

(1) https://en.wikipedia.org/wiki/Soliton

(2)https://phys.org/news/2021-12-quantum-view.html

(3)https://phys.org/news/2021-12-quantum-algorithms-ions-standstill.html

(4)https://www.lanl.gov/discover/news-release-archive/2021/March/0319-barren-plateaus.php

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