The shocking fact is that our brain uses quantum computation.

The thing, that makes our brains so effective is that they use quantum computing. So in our brain, chemical qubits are traveling between neurons. And that thing with the ability to begin the operation makes our brain so effective that the best quantum computers are losers. Our brain is an extreme tool that uses at least two speeds in computing. 

Fast-speed computing is basing the electric phenomena that travel on the axons' cores. And another version of computing in the human brain is the slower model that uses chemical or electrochemical qubits called neurotransmitters. 

The brain uses the electric mode to send signals to neurons on how they should handle the qubit or neurotransmitters. That is coming after the electric signal. The purpose of faster computing is that brain can use it in fast reactions. And the slower mode is used to analyze the data. 

The brain uses electric computing to ask what neuron has certain information. And when that information is found, the neuron creates the neurotransmitter. Also, there is the possibility that electric computing is meant to tell neurons what kind of neurotransmitters they must create. And that allows the system to start the data-handling process. At the same moment in multiple points of the brain. 

By researching the brain neurologists and computer experts can create faster and more powerful computers that can learn things similarly to the human brain. Those neural quantum computers can drive the most complicated algorithms. But they are more flexible and suitable for autonomous robots than regular quantum computers. 

When researchers know how the brain operates, they can model that thing to quantum computers. 

The human brain could be a model for quantum computers that can revolutionize robotics. If we want to make a human-looking humanoid robot that can operate on Jupiter, Saturn, and other gas giants' moons' surfaces we must make a system that is more autonomous than any other robot before. The system can use a hybrid system where the electric signals are controlling quantum routers, switches, and gates. 

These kinds of the system require lightweight powerful quantum computers. In those lightweight but powerful systems, the electric impulse tells how the system should route the qubit. So, at the first, the electric impulse to quantum routers and gates, and then those gates can drive qubits anywhere where the system wants. 

https://scitechdaily.com/shocking-experiment-indicates-our-brains-use-quantum-computation/

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40 silent minutes, what changed the world.

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Kimmo Huosionmaa

When K-computer simulated human brains were the ordinary day. For that simulation has the group of scientists used many years, and there was nothing dramatic for that process. There were no flames outside of the laboratory and computer center. And during that simulation, nothing dramatic happened. But those seconds might be changed the world by the more influential way than any moon-flight ever changed. The system was the best in business, and it was located in Japan. The mission was to simulate the functions of the brains. The research team was composed of German and Japanese scientists, and it worked by using K-computer, what has 84 944 core processors for that simulation.

It took 40 minutes to simulate the one second of the human brain activity, and the scientists had got the world fastest supercomputer in use when this happened in 2013. The supercomputer was so-called K-computer and that was the fastest and the most powerful computer in that time. This was one of the worlds most remarkable seconds in history, and that was one of the most advanced steps in the research and investigation of the neuroscience. That thing has not seemed very dramatic, and nothing seemed to happen outside of those calculation units,  but there were spent millions of hours of work, millions of calculations have done, and millions of minutes were spent by taking the MEG pictures and collecting other data from the human nervous system.

The spending 40 minutes for one-second simulation doesn't maybe seem a very effective way to use computer time but in the future, that kind of simulation would make possible to create thinking machine". The computer what can learn things, and process the information, what it gets, and make conclusions, what is called thoughts by using that information. But there is far to the human brain capacity. Human brains have the capacity to think abstract things and this ability separates us from other species.

This is the problem with artificial intelligence. We know that feelings have a role in our thinking process, and if we would give feelings and ability to think abstract things to some computer, that thing can transform the thing that wants the power. Feelings and ability to think abstractive gives computers greed for power, and that might cause the situation, what is like from the "Terminator"-movies. The rebellion of the machines is one of the worst nightmares of artificial intelligence.

Sources

https://io9.gizmodo.com/this-computer-took-40-minutes-to-simulate-one-second-of-1043288954

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

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