The physics-based quantum tools will replace current AI networks.

 The physics-based quantum tools will replace current AI networks. 

The future of AI is material that involves mass memories, power sources, and data storage in one entirety. The next big step in neural networks is the material-based AI where carbon-fiber-based material is turned to the computer.  

The problem with regular AI-based neural networks is that the quantum computers that becoming more common will break any code that protects the neural network. And that means the future of networks is in a physics-based self-learning system. That is based on quantum computing. 

The programmable materials will replace current AI networks quite soon. The simplest version of that type of neural network is the microchip, whose kernel involves the AI programs. In that model, the AI is integrated into microchips. And that makes data-handling easier for that computer. That type of structure is not a physics-based material. 

But it tells about the route where the next-generation neural networks are going. The material-based solutions where intelligent material involves mass memory, and also integrated ability to handle data. The next-generation neural network can be the system where quantum entanglement is made into the same material as mass memories and other things. 

The next-generation computer can be a three-layer nanorod. That structure makes it act like the human brain. The quantum computer created by using three-layer nanorods can be as intelligent as the human brain. The quantum entanglement will created horizontally between photons or electrons trapped in the nanorod structure. Vertical entanglements transmit information between those layers. 

But the fact is that that kind of extremely complex nanostructure can have multiple layers of qubits. The atom-size quantum computers can hang in the nanorod. And that thing makes it possible to create new and powerful systems. 

"Learning with light: This is what the dynamics of a light wave employed inside a physical self-learning machine could look like. Crucial are both its irregular shape and that its development is reversed exactly from the time of its greatest extent (red). Credit: Florian Marquardt, MPL" ((https://techxplore.com/news/2023-09-physics-based-self-learning-machines-current-artificial.html)

"Artificial intelligence as a fusion of pinball and abacus: In this thought experiment, the blue positively charged pinball stands for a set of training data. The ball is launched from one side of the plate to the other. Credit: Florian Marquardt, MPL". (https://techxplore.com/news/2023-09-physics-based-self-learning-machines-current-artificial.html)

The mass memories are anchored in the nanorod that also transmits information forward. In that system, the atom-size quantum computers operate as staged waves. When electricity that transports information faces the group of those nano-size quantum computers those systems will process information and send it forward. In nanorods could be millions or even trillions of atom-size nanocomputers. 

There could be thousands of quantum entanglements in that kind of atom-size quantum computer. Electrons can have multiple quantum entanglements between them. Also, things like protons, neutrons, quarks, and gluons can form quantum entanglements. And in a hole in the net-structure of the nanotube can be one or more atom-size quantum computers. That makes those systems more powerful than any existing network. 

This is the reason why quantum materials are so interesting. By using extremely accurate photon and electron impulses the quantum system can drive material or its atoms and other particles so close to each other that they can make quantum entanglement between photons, electrons, or even protons that are in "pockets" of that material. 

The idea is that a photon trap where the single photon is trapped transfers energy into that superpositioned and entangled photon pair. The problem is that this thing requires an ability to control the material in its entirety and that makes the ADNR (Aggregated diamond nanorod) nanotubes interesting. 

In ANDR nanotubes carbon atoms are close to each other. And then that thing makes it possible to make stable "lockers" for photons. In ideal models, the next-generation AI-based structure involves all components like mass memories, power sources, and data handling units along with computer programs forming the entirety. 

The next-generation computer can be a nanotube, where a nano-size structure involves the quantum system. And in some other visions, the electric wire will turn into nano- or quantum-size computers. The system would be different from modern AI-based neural networks. The wire itself works as a computing system. And that thing makes the computer faster and more accurate than ever before. 

https://techxplore.com/news/2023-09-physics-based-self-learning-machines-current-artificial.html

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

The new materials are pathfinders in photonic circuits and stealth technology.

The new graphene-based material reflects light backward. And it is a big step for the next-generation photonic circuits. But the new nano-materials are also possible to use in the next-generation stealth technology. There is introduced an idea to conduct the radar impulses to the accumulator. That means that the radiation's reflection is denied by conducting that radiation to energy storage. 

The thing is that if the energy and wave movement travels only to the object without reflection. There is no way to see that object. But the problem is that the system must sometimes remove the extra energy by conducting it to the ground. 

And there are suspicions. That some UFO:s that are hovering above the water is removing their energy storage. In that case, those aviation systems use technology that absorbs all radiation in the craft. So when the energy level rises too high the craft must remove extra energy to somewhere. 

Graphene-based materials have an abnormally strong absorption ability. The problem is that if the object would not reflect. It will turn very hot if it cannot remove that heat somewhere. The new graphene based-material allows conducting the light to the point where the researchers want. And that ability is useful in photon circuits. But it can also turn the aircraft or ship into shadow. The light can conduct to a laser that sends it in the wanted direction. 

Image 2)

And the problem with this type of material is that they must remove their energy somewhere. The overload of energy causes the problem. The answer to that problem could be to load the extra energy to capacitors or the energy can conduct to air by using saltwater where the extra energy is loaded. 

And that thing can make it possible to make the objects that are not giving a reflection at all. There is the possibility that the graphene-based materials are conducting light and all other electromagnetic wave movements to the middle of the object like aircraft. And then that light and wave movement can conduct in the wanted direction by using laser technology. 

One version of how to deny reflection is simple. The system must just make the object that has as low an energy level as possible. That thing makes it possible that the energy travels only to the object. And that makes the object invisible for radar, infrared, and even for the human eye.

https://phys.org/news/2022-02-abnormally-strong-absorption-graphene.html

https://scitechdaily.com/nano-architected-material-refracts-light-backward-an-important-step-toward-photonic-circuits/

Image 2) https://scitechdaily.com/nano-architected-material-refracts-light-backward-an-important-step-toward-photonic-circuits/

Time reversal symmetries and space reflection are used to control quantum materials.

    

Time reversal symmetries and space reflection are used to control quantum materials.

Above this text is an image that introduces time symmetry. This kind of thing can also use to create the quantum-size black hole. When the energy is pumped to quantum entanglement. There is the possibility that the energy level between those particles rises to the level that forming the quantum-size black hole is possible. 

That thing can use to create the quantum channel or electromagnetic- or even gravitational wormhole (so-called "real" wormhole) between those objects. And those things can use to create a powerful and very effective communication channel for quantum computers and in long-range quantum communication. 

Quantum technology is coming. The difference between the quantum and nanomaterials is the size. Quantum materials are forming far smaller particles than nanomaterials. The idea is that by using wave movement the single atoms or quarks can move from one place to another one. So quantum technology affects subatomic particles or single atoms. 

Nanotechnology is forming of single molecules or atoms. And by using quantum technology that thing can make the parts of nanotechnology more accurate. If we are thinking possibility to make nanostructures. By using acetylene molecules and long carbon molecules. The acetylene molecules can position between carbon molecules, and that thing turns the molecule turn like a ladder. That kind of ladder-looking hydrocarbon molecule can store information. And it can use in the ROM (Read Only Memory)circuits as storing very complicated kernel programs. 

That thing can act as the frame for quantum machines. The thing is that quantum microchips and other things require extremely small systems. The ability to make the quantum entanglements means that single atoms or ions can locate precisely in the right position. 

But that kind of system requires extremely high accuracy. And one of the systems that require high accuracy positioning is quantum computers. In that system the electrons or photons that are put to superposition transmit data. The electron can position to WARP-bubble by loading it with a high power energy load. And that thing makes it travel faster than other ways. Another thing that makes quantum-size WARP-bubble an interesting, tool is that it allows full control of those qubits. 

Quantum entanglement has an effect over time. This thing makes that effect extremely interesting. There is a possibility to affect quantum entanglement by stressing it with high-accurate energy loads. In that case, the energy load will target the ends of quantum entanglement.

Or energy load will position to the energy channel between that superposition and entangled particle pair. The thing is that superpositioned and entangled particles can bring information to the observer faster than if the information is coming through the air. 

This kind of system is making it possible to move single photons or electrons on the layers. In the quantum world, the layer can be physical or it can be the electromagnetic field where the particles are hovering above the EM-field. 

https://scitechdaily.com/physicists-exploit-space-reflection-and-time-reversal-symmetries-to-control-quantum-materials/

Image:https://scitechdaily.com/physicists-exploit-space-reflection-and-time-reversal-symmetries-to-control-quantum-materials/

https://thoughtsaboutsuperpositions.blogspot.com/