Quantum computers and nanorobots are coming. And we don't even know all their abilities.

  Quantum computers and nanorobots are coming. And we don't even know all their abilities. 

In the future, we can see nanorobots everywhere. Researchers created artificial bacteria that can create electricity from wastewater. And those bacteria can give electricity to the small nanomachines that clean the water and observe, what type of waste is in that wastewater. Those small machines can look like rice there is a tunnel through them. And the system can pump water through that tunnel where there is an active carbon filter and maybe a UV system that destroys bacteria. 

Those bacteria also can deliver energy into nanotechnical microprocessors. And in some visions, the supercomputer of the future can be a group of nanotanks that flow in wastewater. And the users communicate with those systems by using WLAN. 

The users can use things like quantum computers over the net by using their cell phones. And that thing makes it possible to share the quantum and supercomputer capacity through the internet. That means the large machine can share its power with small machines. 

The shape of the morphing network is not sharp. And that means networked computers, but networked cell phones can also form morphing neural networks. And the morphing neural network can consist of cell phones, computers, and drones that are connected under one entirety.

The nano- and mini-machine swarms are a good example of morphing and scalable networks. If those swarms require new abilities only one member of that swarm must be reprogrammed. And then that member scales that information through the entire swarm. That kind of technology requires new tools. Those tools must be secured and fast-reacting. They require self-development ability. 

Quantum computers are tools that can make the future more complicated than we expected. They are game changers and work as physical layers for highly advanced AI-based systems. Machine learning is the tool used in fusion experiments. However, machine learning gives new abilities to control quantum systems and molecules for nanotechnical applications. 

Researchers are working hard with nanotechnology, biotechnology, morphing neural networks, AI, and quantum computing. Those systems will change the world more than nobody expected. The complex AI requires powerful computers to run those systems. Things like nanorobot swarms require ultra-secure data transmissions. If there are some kind of problems with communication, the nanomachine swarms can do something that they should not do. 

Quantum computers allow systems to create new and complex molecules because they can drive complicated simulations. The system must simulate how atoms and molecules touch each other. And then it must turn that simulation into rea, or physical world.  

ENIAC

While a CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing) system creates something extremely complicated, like very long molecules that are required in medicines. It must react very fast to non-predicted effects. And that thing requires extremely fast computing. When lasers and microwaves are manipulating sub-atomic scale systems they must send energy impulses with very high accuracy. 

When people are talking about quantum computers they must realize that those systems are weapons themselves. That means quantum computers can break any code that is made by using binary computers. And we know why some nations are interested in that technology. 

We can use the history of binary computers as a model when we try to predict the future of quantum computers. Maybe pocket-size quantum computers will not come next year to the supermarkets. But we must realize that maybe that day is coming sooner than we think. We can compare the quantum computers to ENIAC, the first electronic, and programmable computer from the year 1945. 

Those quantum computers are also the first of their kind. They are powerful systems. And when we are looking at the image of the supercomputer from the 1980s who believes that someday we carry a system with many times higher calculation capacity in our pockets. Same way size of the quantum computers will turn smaller. When the number of those systems is rising the price will decrease. And that's why we must prepare for that thing. 

https://scitechdaily.com/generating-electricity-from-wastewater-bioengineered-bacteria-produce-power/

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

Quantum computers are solving problems of processor-based multitasking.

 Quantum computers are solving problems of processor-based multitasking.

Quantum computers are solving one of the biggest problems in the computer world. That thing is processor-based multitasking. When we are thinking about binary systems the multitasking is virtual. In Windows- and other multitasking systems the active software is the thing that is driven through the processor. And other open software is waiting until the operating system calls them. 

The activation of the program happens when the user of the system clicks the software and activates the next application. So in the virtual multitasking system, the software or application reserves the entire processor where the data travels. The thing is that most of the time the processor is not using its entire power. And if processor-based multitasking is possible the processor could use a part of its capacity for other missions. 

But in binary systems,  the processor must reserve its entire capacity for the task. There has been made before the artificial intelligence-based solutions wherein the multi-nucleus processors some of the processors are reserved for background tasks. In the multi nucleus processors, the microprocessor would be many microprocessors. And the system can remove some of them from the entirety for making the mission background. 

This kind of ability is making it possible to calculate the series like Riemann's conjecture. Solving this kind of problem like is there some "non-binary" number in calculation series requires extreme long process drive. And the computer time of the most powerful systems is always limited. So the artificial intelligence-based system can swap the task between supercomputers. And that allows making the calculations even years. 

But this kind of thing can make the regular PC:s operations more powerful. But the quantum systems are taking this kind of thing, even more, higher level. When the quantum computer makes multiple tasks at the same time. It can control robots that are operating in very complex areas. The quantum computer simply reserves a couple of its layers for the background operations. 

Processor-based multitasking makes it possible that the robot can make many things at the same time. If the social robot has processor-based multitasking in use it can discuss and walk at the same time. The multitasking microchips make it possible to create a new type of system that is even more powerful. The fact is that the robot must not have an internally quantum system. '

The quantum computer can control the robot over the internet. And the only problem is the communication. That kind of robot needs a very secure and error-free communication line between robot and computer base. 

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