The quantum effect allows us to research our minds and memories.

"A stunning discovery shows that quantum computation might be embedded in the very structure of life, enabling organisms to process information at mind-boggling speeds – even in warm, wet environments. Credit: SciTechDaily.com" (ScitechDaily, Scientists Just Discovered Quantum Signals Inside Life Itself)

The quantum effect in living organisms is something that we might not even understand. The living systems are complicated. They are full of interference, and their entropy is very high. But otherwise in cells. It can be "deep" micro whirls that allow quantum information to travel through the cell itself. The proteins in the cells can also form so-called quantum channels. There quantum information can travel without interacting with the cell's structures. 

That thing opens new visions about the research cell's internal actions and reactions. But that thing opens new visions to trying to understand things like consciousness and its mechanisms. That quantum phenomenon can open the road to research how things like magnetic fields transform or affect our thoughts and minds. That thing can also be the key to reading our memories and dreams. 

"The computational capacities of aneural organisms and neurons have been drastically underestimated by considering only classical information channels such as ionic flows and action potentials, which achieve maximum computing speeds of ∼103 ops/s. However, it has been recently confirmed by fluorescence quantum yield experiments that large networks of quantum emitters in cytoskeletal polymers support superradiant states at room temperature, with maximum speeds of ∼1012 to 1013 ops/s, more than a billion times faster and within two orders of magnitude of the Margolus-Levitin limit for ultraviolet-photoexcited states. "(ScitechDaily, Scientists Just Discovered Quantum Signals Inside Life Itself)

These protein networks of quantum emitters are found in both aneural eukaryotic organisms as well as in stable, organized bundles in neuronal axons. In this single-author research article in Science Advances, quantitative comparisons are made between the computations that can have been performed by all superradiant life in the history of our planet, and the computations that can have been performed by the entire matter-dominated universe with which such life is causally connected. Estimates made for human-made classical computers and future quantum computers with effective error correction motivate a reevaluation of the role of life, computing with quantum degrees of freedom, and artificial intelligences in the cosmos. Credit: Quantum Biology Laboratory, Philip Kurian" (ScitechDaily, Scientists Just Discovered Quantum Signals Inside Life Itself)

"Yale researchers have uncovered evidence that babies can store memories far earlier than we once thought. Credit: SciTechDaily.com" (ScitechDaily, Your Earliest Memories Might Still Exist – Science Just Found the Clues)

In some models, our first memories are behind things like nightmares. 

Researchers think that the very first memories in our brains still exist. But brains cannot collect them into new entirety. Those first memories are stored in brains where were only a very few neurons if we compare them with adult brains. That means memories scatter around the brain. And maybe. Quantum technology can read those memory allocation units that the first neurons stored. Theoretically, those systems must only recognize those cells, read the data units from those very first memory cells, and then reorder them into the original order. 

Memory cells act like a puzzle. Every piece in the puzzle is an independent memory allocation unit.  Every memory cell holds one part of memory. And cell group handles all of those memories. Every neuron handles only a small part of the image. And if those neurons are far away from each other that makes it hard to restore images.  Thinking means that. Brains reconnect those memory allocation units. When a person gets flashbacks in some stressful situations that means that the non-used neural track is activated. 

There is a model where nightmares are forming in the first memory cells. First memories are behind strange dreams our brains have access to those memories. But they cannot collect them back into their original entirety. 

When we think about information stored in our brains we must realize that the first memories from childhood might not gone or lost. The problem is that our brains advance from childhood. In that process, the number of neurons grows and their connections are multiplying. So our first memories form in brains where there are not very many neurons. When the number of those neurons grows those memories or memory allocation units will go to longer distances than they were in our childhood. Our brains just cannot convert those memories into new entities. 

https://scitechdaily.com/scientists-just-discovered-quantum-signals-inside-life-itself/

https://scitechdaily.com/your-earliest-memories-might-still-exist-science-just-found-the-clues/

The new plasma thruster uses water as a propellant.

"Florida-based firm Miles Space has demonstrated a water-fueled electric thruster with very low power demands."(Interesting Engineering, Florida startup tests water thruster, runs on just 1.5W for orbital maneuvers)

"The company tested its technology on a European satellite in September 2024. During the flight test, Miles Space’s Poseidon M1.5 thruster produced 37.5 millinewtons of thrust for five minutes at a specific impulse of 4,800 seconds, while drawing power of 1.5 watts." (Interesting Engineering, Florida startup tests water thruster, runs on just 1.5W for orbital maneuvers)

"The thruster fits into a one-unit cubesat and could be used for applications like descent from low-Earth orbit." (Interesting Engineering, Florida startup tests water thruster, runs on just 1.5W for orbital maneuvers)

There are many types of more-or-less practical plasma thrusters. 

Water is a good propellant for rockets. It's cheap, non-toxic, and a common material. Water is not like hydrogen which requires pre-processing. And that makes water easier to handle than hydrogen which must be separated and then turn into a very low temperature. The engine must just expand the water. Basically, the same thruster can use any other liquid from hydrocarbons to hydrogen. 

The system can heat the liquid using an electron, or some other particle beams, electric arcs, lasers, or microwave systems. In some models, the system uses antimatter to boil propellant. The system requires only electricity to create the system that creates the plasma. The system can accelerate plasma by using magnets. 

Plasma thrusters can get their energy from sunlight or from nuclear reactors. One form of so-called solar- or light-sails is the mirror that focuses sunlight into the rocket's engine chamber. There that system can expand propellant. The parabolic mirror can aim sunlight at the carbon fiber structure. Then the system can inject hydrogen into the chamber. There that carbon fiber structure heats the propellant. 

In the most extreme versions, the system uses a laser that can get its energy from the sunlight. The mirror system collects energy and focuses it on the laser element. Then laser beam vaporizes water at hypercritical temperature. There that water turns into plasma. 

When we think about the most exotic versions of that kind of system the engine can use some kind of electrolytic system. The system injects a water ball into the engine chamber. 

The electrolytic system can break water molecules and then the positive and negative electrodes pull those ions and anions into the different directions. When hydrogen ions travel to the anode and oxygen travel to the cathode that makes it possible to create a very exotic ion engine. The oxygen travels to the plate at the front of the chamber. Hydrogen ions can travel out from the engine through the acceleration tube. 

That forms asymmetry in the power. The positive particles travel to the plate where they can from the push. And then another, negative particles travel back from the system from time there they don't create thrust. Those poles in the system can be opposite. Those kinds of ion engines are interesting tools. 

https://interestingengineering.com/innovation/startup-tests-water-fueled-plasma-thruster?group=test_b

The supersonic flight turns metal bonds weaker.

 

Above: North American X-15 in wind tunnel test. 

We know that friction weakens materials. Things like metal structures are vulnerable to heat. The reason for that is that metal structures are not solid and homogenous structures. The friction forms heat that destroys the metal structures. In the second image (Image 2),  we can see the aluminum crystalline structure. We can see that those are not in perfect symmetry. But the structure looks a little bit like a diamond (Image 4). That atomic structure makes aluminum very suitable for aviation. The problem is that the real bonds that are marked as grey tubes don't follow the route of the theoretical bonds that are marked by a black dash. If aluminum atoms form the boxes or structures like carbon in a diamond. That makes it stronger. 

Image 2. Crystalline structure of aluminum. 

However the structure can be more effective if those aluminum atoms can form a perfect box structure that continues homogenously over the entire trunk. Things like nanotubes can transport energy out of the structure. The best solution for nanotubes is that they are horizontally through the metal structure. If there are no connection points. That makes energy travel better through those tubes. 

The image 3 shows the problem of energy in the 3D surfaces. We can see that there are potholes in that structure. And that causes energy asymmetry in this lattice. 

The potholes and hills in structure cause differences in energy levels. Make energy travel to the lower energy points. And that forms standing waves that push atoms away. 

There are two ways to make the material strong. One is nanotubes and one is to make metal extremely pure. 

The structure is like boxes. And that allows the metal to dump energy into those boxes. That energy forms a standing wave that breaks the structure sooner or later. The thing that breaks the structure is the reflecting wave from the metal crystal. When we compare that structure with the diamond's carbon structure.

(Image 3) The polarization in lattice. The polarization under laser ray. Tells about the energy levels in the lattice. 

 We can see that the diamond's dodecahedron structure (Image 3)allows energy to travel out from the structure more easily than from the metal. If the energy level in the top carbon is lower than the bottom carbon. That increases the energy flow through a diamond. 

There are small metal crystals and bites of dross in the metal structure. When heat transfers to those structures. It causes standing waves into the layers. When energy travels into those small crystals. They store that energy inside them. Sooner or later. Energy levels in those metal structures turn higher than in the environment. That energy destroys the material structures. 

(Image 4) Diamond crystalline structure. 

We know that. To keep material in its form. There must be someplace. There the material can put that energy. The reason why carbon fiber stands better at supersonic speed is that it is fiber. In supersonic speed the air pressure pushes carbon fiber against the wing. If that fiber goes over the wing it can transport more energy to air. 

The next question is where that energy dump can put that energy. One answer can be the nanodiamonds. That can transport energy out from the metal. Another answer to the heat problem can be nanotubes that can conduct energy out of the structure. The system works that way so that there is a lower energy area behind the aircraft. 

The nanotubes can transport energy out from metal structures if they continue over the entire airplane's body. Things like electron beams can also operate as the thermal pump that transports energy out from the structure. 

 https://interestingengineering.com/innovation/supersonic-speed-weakens-metal-bonds-strength-peaks-at-1060-m-s-study-finds?group=test_b

Quantum leaps make quantum computers more advanced.

"An artist’s impression of an analog quantum computer in which atoms are manipulated by lasers to simulate quantum many-body systems. Credit: Image courtesy of Nikita Zemlevskiy, Henry Froland, and Stephan Caspar" (ScitechDaily, Quantum Computers Take a Leap Toward Accurate Nuclear Simulations)

The new quantum computers take a leap into accurate atomic simulations. That improves material research. New materials like ultra-thin superconductors will turn quantum computers into new more compact forms. 

That means that. Maybe in the future. 

Quantum computers and their coolers can fit in normal rooms. And that is the big advancement. 

And many other things. Like fusion reactors and engine technology. 

New quantum computers are the ultimate tools in very complex calculations. 

There is a point in the formula's complexity. Where the quantum computer becomes more effective than binary computers. 

The ultimate complex flow simulations between atoms, ions, and electromagnetic force's interaction with natural forces require ultimate complex calculations. Atoms are complex entireties where four nuclear forces interact with electrons, hadrons, and quarks, that form hadrons. Those simulations leap the quantum computer advancements. 

The quantum computers will turn so trustable. That they can be used to develop themselves. 

The AI and quantum computers are the ultimate combination. 

That makes those systems development faster and more effective than before.

The most effective calculators in the world are tools that can be used to calculate the qubit's behavior in the quantum system. If that behavior can be controlled or predicted that makes quantum computers trusted. The problem is this: if the quantum entanglements in the system are broken without warning that means the data is lost. Quantum computers are good tools for running AI and especially for calculating large entireties. 

The thing that breaks even the simplest systems is the entropy. We can think that quantum computers transmit data in a structure that looks like two yarn balls there the string transports information between them. We can think that those strings are like carpets. We can push them forward if they are straight. But then if there is a wave that stretches the carpet. 

In quantum systems, the energy travels back to the string. That transports data in the qubit. That forms quantum superposition and entanglement. 

That makes waves between those particles. The wave. That forms in the string or belt that transports information warps the string. That string is not a homogenous structure. There are multiple substrings. And when one of those strings that are like a flat cable where wires are separated turns into curves that causes entropy. There is entropy even in the simplest systems. And that entropy destroys or messes up information. 

The qubit, quantum superposition, and quantum entanglements are harder to control than nobody predicted. In quantum entanglement, data travels from a higher energy level to a lower energy level particle like the belt. The problem is that those particles form the Moiré pattern when they are put into the superposition and entanglement. That position makes the energy wave in the string or belt that transports data in the superposition and entanglement. 

The problem with quantum entanglement is this: Information can travel only from the higher energy level to the lower. So, also energy level between the string that carries data must be higher than the receiving particle. The Moiré effect causes that energy to jump back to the string that carries data. 

That effect forms a standing wave between that string and the receiving particle. That pushes the string away from the receiver. This means there is impossible to transport information between particles in quantum entanglement with 100% accuracy. That inaccuracy makes it hard to control the quantum entanglement. 

https://scitechdaily.com/quantum-computers-take-a-leap-toward-accurate-nuclear-simulations/