The new winds are blowing in the world of artificial brains and internet superhighways.

The quantum lasers and Rydberg atoms can make the atomic brains possible. 

The Rydberg atoms can form atom-size neurons in quantum annealing systems. The problem with quantum computers is how to get data there and back to the operators. 

The Rydberg atoms can work as the atom-size neuron. And that thing makes the new type of neurocomputers possible. The artificial brains can be the network of the qubits, which is connected by using the quantum bridges, which are acting as axons. The quantum lasers can stress every single electron individually, and load many states to the qubit. The Rydberg atoms or Rydberg qubits are the systems where can store multiple states of data. And as we know every single qubit is the database. 

When we are thinking about possibilities to make artificial brains, the mission is very simple in theory. We must only make 200 billion databases and connect them to one network-based entirety. And this is the problematic thing. Handling that kind of entirety is quite difficult and that thing requires the new type of hardware called quantum computers. Creating 200 billion databases and artificial neurons is possible if we can use Rydberg atoms for that purpose. 

The quantum lasers can stress individual atoms and load data in multiple states. And theoretically, those atoms can connect by using the quantum bridges the chains of electrons or protons. Also, quantum lasers can be acting as quantum channels. The system can use chained electrons for making the entirety called quantum brains. 

The artificial intelligence-driven information superhighways can rise data security to the next level.

And then to the information superhighways. Information superhighways are the networks of data, that are making interactive artificial intelligence possible. The networks are in a key role in quantum computing. The length of the information superhighway can be from a couple of micrometers to thousands of kilometers. The length depends on does the superhighway transmits data inside the microprocessor. Or does it transmit data between computers? 

Why are neuro-network systems are a little bit slower than regular systems? And can they form superior intelligence? And why does artificial intelligence as the network surveillance tool give better data protection?

That thing depends on the structure of the network topology. We can compare the situation when the data is traveling in the network with the man. That is driving in the city. If the man doesn't have the map, he must ask everybody where is the certain address. In that case, the data is sorted into certain addresses. 

And the man who is carrying the data must only ask, where the address is. But the problem is that the man must ask road, and that takes time. Then somebody knows, that the address where the data should deliver is at east-side of town. There is another person, who knows what city area that target is. Then the area is turning smaller and smaller until the driver finds the right point. In the world of computers, that man is the carrier IQ.

Carrier IQ is the code that tells where the data segments that are loaded under it must deliver. The people who are advising the route are routers, which are driving data in the right direction. And when the data segments are delivered the system, that sends the data will get the note that the information is successfully delivered and received. That is called TCP/IP protocol.

So we can give that man the map. In this case, the carrier IQ contains the data on how to route the packages. That will make the work of routers easier. Before the data is transmitted the sender system will send the traceroute command to the network. And that thing will map every router during the journey. And then that information is packed to carrier IQ, which makes the data transmitting easier and faster. But that requires that the system orders the data is sending its IP address to the sending system, that the route between those systems can map. 

The problem is that if some other computer has the same IP address. Transmitted data can accidentally deliver to the wrong systems. The hackers can change their computer's IP address to the same as their target system's port server. Or it can change accidentally similar to some other system.

The intelligent systems are collecting real-time data where the data is traveling. And the carrier IQ can be also in the form of a qubit. So everything that is written here can adapt as well as with quantum- and regular systems. 

The quantum network is a smaller version of the pressure-air network used in many posts and supermarkets. The idea is that the data is packed in the qubit before it is sent to the network. Then the quantum system will aim the qubit in the right direction.  In the pressure air network, the carrier IQ is the RFID or QR code that helps the system to route the capsule in the right direction. 

And the real-time following is making the transportation safety. The system knows where the capsule is traveling, and if somebody is trying to steal it, the information will send to security. Stealing that capsule can register because the tube is damaged or the capsule is missing. 

The same way the stealing data in the quantum network can detect. In the quantum network, the data is traveling in the nanotubes in the form of electrons or photons. If the qubits are missing or the nanotube is damaged the information is dangered. 

The artificial intelligence-based network control collects real-time data, where each of the data packets is traveling. And if the system is routing packages in the wrong direction, the artificial intelligence-based network control system can reroute that data. The system can follow things like an attempt to change remap the routing boards. Things like doubling the data must also tell the controller of the system. 

The system requires the information of the IP address of the target system, but it can also check the network segment where the target system locate. And of course, it can find out or predict the position of each router in the journey between sender and receiver. Then that data is stored to the carrier IQ. And the routers are sending that data to the surveillance system. 

If we are thinking of this case as the van and man. The system can use the GPS for making routes. The network is like the road map, and the GPS is the artificial intelligence-driven interactive system. And then we can turn this model into the computer world. 

By using real-time surveillance the system can follow that the data packages are traveling in the right direction and to the right network segment.  In the world of computers, that thing means that the intelligent routers are following real-time mode where the data is traveling. 

And if the data is traveling in the wrong segment or wrong direction the controlling system sees that thing. The artificial intelligence-based network-control tools are different than the traditional system. The artificial intelligence that controls the network gets information, where the target system is, and real-time information where data is traveling. 

The routers and switches are also reporting the intelligent control system what is the data, that the system handles. And where that data is traveling. If the data is traveling in the wrong segment, that system can park it. And reroute it in the right direction. That thing makes information security better than ever before. 

()https://en.wikipedia.org/wiki/Rydberg_atom

()https://en.wikipedia.org/wiki/Transmission_Control_Protocol