Quantum simulations are the next-generation tools for R&D workers.

   Quantum simulations are the next-generation tools for R&D workers. 

It's possible to create digital twins about humans or any other organism. But that thing requires complete information on how different parts of the system interact. And we can call the body the nervous system that controls the system. To make a digital twin for that system we must know how neurons interact with other body parts in the natural environment. Using that data is possible to create digital twins of living organisms. 

The AI can collect data from complicated structures. One of the most complicated structures in nature is the living nervous system. The number of actors and actor groups determines the complexity of the neural network systems. 

A neural network, which controls living animals and humans is a far more complicated structure because there are more actors than clean nervous systems. In that structure called "body" neurons interact with other cell groups. The sensor cells transmit information to the nervous systems that control muscle cells. So all cell groups interact in a living organism's body. 

"A groundbreaking AI method created by EPFL (École Polytechnique Fédérale de Lausanne) and Harvard scientists allows for efficient tracking of neurons in moving animals, using a convolutional neural network with ‘targeted augmentation’. This significantly reduces manual annotation, accelerating brain imaging research and deepening our understanding of neural behaviors."

The biggest challenge is how to collect data on the fully functioning nervous system. 

The nervous system works perfectly only when it controls animals or humans in their natural environment. And researchers can use that data to create models for morphing networks and morphing neural quantum networks. The problem with laboratory tests is that those tests do not see how neurotransmitters interact. 

But nano-size sensors that genetically engineered bacteria transport into the right positions make sure that researchers can see how neurons work in their entirety. That controls living organisms. And the system can use that data to make artificial neurons. The artificial neuron is the ion, electron, or photonic system that imitates neurons. 

The system can use nano-size processors and optical fibers to transport information. Or those systems can use electrons or ions to transport data over the "synopsis". The system can also use miniature photocells to transport data from one nano-size computer to another. 

In some visions, futuristic quantum or morphing neural networks control even human-looking robots. In that model, lots of nano-size computers operate in entirety. And the scale of the system can be like a matryoshka doll or matryoshka brain.  If one robot cannot find answers it can ask a group of robots to make that answer. 

Then it can call other robot and computer groups. And those systems form the computer supergroups. The idea of the matryoshka brain is that there can be an unlimited number of shells and groups of systems that operate as one entirety. If one shell cannot find the answer, it calls another shell to work with that thing. 

"Scientists have made a significant breakthrough in understanding neutron star glitches through experiments with ultracold supersolids. This research, linking quantum mechanics and astrophysics, reveals new details about the internal dynamics of neutron stars and opens new avenues for simulating stellar phenomena." (ScitechDaily.com/Neutron Star Mysteries Unraveled: Quantum Simulations Reveal Rotation Secrets)

In quantum simulation: the system makes the quantum twin for the object in the laboratory. 

New quantum simulations make system possible to simulate things that happen in neutron stars. In quantum simulations, the system creates similar objects as in nature. And then it just follows the interaction between that model and the environment. So in neutron star simulations, the system creates a "synthetic neutron star" or quantum twon for a neutron star in a controlled chamber. 

The ability to make the synthetic neutron star is interesting. If the system can make that thing, it could give a very good energy source for people on Earth, because the fast-rotating neutron stars act like generators. Controlling neutrons is very difficult so, the simulation used dipolar atoms to make that quantum object, that the AI compiles with data, collected from natural neutron stars. Dipolar atoms can also be used to make small-size generators. In that model, those atoms are put in a fullerene nanotube. That is covered by magnetized iron. Then those atoms will put to spin, and that makes them act like nano-size generators. 

The neutron-star simulations make it possible to create models of how to drive data to complex quantum systems. "The key ingredient for this study lies in the concept of a “supersolid” – a state that exhibits both crystalline and superfluid properties – which is predicted to be a necessary ingredient of neutron star glitches". (ScitechDaily.com/Neutron Star Mysteries Unraveled: Quantum Simulations Reveal Rotation Secrets)

"Quantized vortices nest within the supersolid until they collectively escape and are consequently absorbed by the outer crust of the star, accelerating its rotation. Recently, the supersolid phase has been realized in experiments with ultracold dipolar atoms, providing a unique opportunity to simulate the conditions within a neutron star". (ScitechDaily.com/Neutron Star Mysteries Unraveled: Quantum Simulations Reveal Rotation Secrets)

"Ultracold quantum gases made of dipolar atoms form an ideal platform for simulating mechanisms inside neutron stars. Credit: Elena Poli" (ScitechDaily.com/Neutron Star Mysteries Unraveled: Quantum Simulations Reveal Rotation Secrets)

Why do researchers research things like neutron-star rotation? They can use things to create new, extremely small generators. In some visions the rotating iron atom in the fullerene ball, there is magnetized iron connected in its shell can act as the miniature generator. A large group of those generators can give electricity to the large entireties. But more about that thing later. 

Researchers use quantum simulations to uncover secrets of neutron stars' rotations. The quantum simulation means that the system creates dipolar atoms in the controlled chambers. And then it stresses those atoms using different types of components like electrons and radiation. The system combines data collected from natural neutron stars. 

The reason for neutron stars' rotation is that there is some particle group, that starts to rotate, and then those particles pull the rest of the neutron structure with them. The key question is: what particle level is the mechanism that starts the rotation? 

Does that thing start from quarks or does the shell or quantum field surround neutrons the thing, that causes rotation? So does the rotation start for outside or inside neutron stars? Neutron stars are objects there are only neutrons. That means the homogenous quantum field surrounds that object. And that quantum field can cause its rotation. Neutron stars are like generators that create extremely powerful magnetic fields. 

And that phenomenon can be used to create extremely small and powerful generators for nanotechnology. In some visions, magnetic iron covers the fullerene nanotube. Then researchers will put the dipolar iron atoms in those tubes. When those dipolar atoms start to rotate, that system acts like a nano-scale generator. That kind of generator can give electricity to the nano-scale systems. 

https://actu.epfl.ch/news/enhanced-ai-tracks-neurons-in-moving-animals/

https://scitechdaily.com/ai-revolution-in-neuroscience-precise-tracking-of-neurons-in-moving-animals/

https://scitechdaily.com/neutron-star-mysteries-unraveled-quantum-simulations-reveal-rotation-secrets/