The Chinese claim that it can break the stealth technology that the F-35 Lightning II uses.

"Illustration of a Chinese device detecting U.S. stealth aircraft emissions (AI-generated, unrealistic). Credit: Ideogram." (Sustainability-Times/"China Can See the Invisible”: Beijing Unveils Handheld Tech That Locates U.S. Stealth Aircraft With Pinpoint Accuracy")

The fact is that there is a possibility of breaking the stealth technology that bases it on radio waves aimed in another direction. The traditional stealth base is that the radiation reflection is scattered. And radar gets minimum radiation reflection. This is the reason why the shape of the stealth aircraft is soft. 

If radar sends impulses straight from above, the stealth aircraft scatters that radiation around. This kind of effect is seen in the radar images that portray Venus's mountains. The white "shine" is the scattering radiation, that scatters from the mountains. Same way radar impulses scatter from the B-2 and B-21 bombers. If the radar is above the aircraft it sees that scattering the same way as radar sees scattering radiation from Venus's mountains. 

The scattering effect disturbs radar signals that reflect from the ground. The thing is that the same effect can be used to uncover stealth from all angles. But this requires a background reflector behind the target. 

The other version is that the system uses two aircraft. Those aircraft send radio signals to each other. And if the radiation scatters from somewhere. The system sees that scattering radiation. By sending impulses that reflect from that reflection. The radar reflection forms the radio halo around that object. 

Image: Wikipedia. 

Above radar image of Maxwell Montes, the highest mountain on Venus from the straight above. The white areas are formed by radar impulses scattering from the mountain and landscape. The white color is not snow. It's a reflection from the scattering radio waves. 

White color on canyons forms when a radar wave crosses them, and then the radar gets reflection from that radiation. So the white color forms when the radar impulses form the "dome" across the canyons. And then other impulses start to reflect for that radar dome. Same way stealth aircraft scatter radar signals. And that is the reason why there is a pyramid on the top of the modern stealth warships. The high-resolution radar can see that this reflection disturbs the reflection from around the warship. 

Things like sensor fusion, where AI connects sensors that use visible light, IR, laser scanners, lidars, and acoustic sensors together.  Those systems are the network of airborne, ground, and seaborne sensors that share their data with each other. The AI boosts the image recognition and the lidar and radars can see the jettison of the aircraft. 

The radar can observe things like carbon emissions from the engines, and it can use various systems to locate the stealth plane. The idea is that if the carbon dioxide or monoxide emission has a certain shape but not the source that the radars see can be a stealth fighter. Another way is to use things like nanoparticles that the radar sees. 

When a stealth fighter moves in the air, its pressure impulses and pressure waves push those particles. The system sees when stealth disturbs the particle cloud, even if it cannot see the stealth aircraft itself. Those nanoparticles can be the clouds that the system observes. 

However, the new types of stealth systems can base the idea that material absorbs all radiation that hits the target. The system can also conduct radiation into one point which can be the capacitor. There are materials. 

Which can absorb almost all energy that hits them. The problem with those materials is that they must put the energy into somewhere. Maybe the aircraft stores that energy into salt water and then pumps that water away. If those systems cannot pump their energy into somewhere that can cause damage to materials. 

High-power microwave transmitters can also protect targets against stealth technology. Those systems can be weapons that rotate 360 degrees. Microwave systems are developed to operate against drone swarms. They form a dome that the drone swarms cannot pass. But they can also operate against the aircraft. There is the possibility that the aircraft can protect itself using counter microwave radiation. 

Rotating microwave transmitters can also cause problems with stealth and other aircraft. When microwave transmitters send microwaves to the stealth fighter, that system warms those materials. And that can cause even destruction. Microwaves and laser systems can be the next-generation tools that can deny drone swarms and stealth aircraft operations. 

 https://www.sustainability-times.com/research/china-can-see-the-invisible-beijing-unveils-handheld-tech-that-locates-u-s-stealth-aircraft-with-pinpoint-accuracy/

https://commons.wikimedia.org/wiki/File:Maxwell_Montes_NW_part_crosseye-stereo.jpg

Quantum computers can make fully automated systems more efficient than ever.

"Quantum information could enhance coordination between autonomous devices, improving efficiency and bandwidth use. Experiments show shared quantum qubits enable influence without direct communication." (ScitechDaily, Quantum Computing Could Make Self-Driving Cars More Efficient Than Ever)

That is not a very big surprise. Quantum computers can solve mathematical problems and handle linear data faster than binary computers. The quantum computer solves a mission. That takes even thousands of years if operators use binary computers. Quantum computers can handle data flow and control sensor and system fusion faster than any binary computer. 

That's why quantum computing can make self-driving cars more effective than ever. In future visions, self-driving cars communicate with traffic control cameras and other systems like GPS. 

Starlink and other satellite-based solutions offer the possibility that self-driving vehicles can communicate with each other and the computer centers. The self-driving cars can create morphing neural networks with other systems and devices. That allows them to operate safely. The thing that makes self-driving cars interesting in the city areas is this. The car can leave the owner at the office's door, and then drive back home. The electric vehicle doesn't need fuel. 

And at home the car can have a manipulator's arm, that it puts into its loading point. The self-driving cars can cooperate with things like drones. Which can offer the possibility to check things. Like rush hours. The same technology allows to make aircraft swarms or land vehicles like tanks that can communicate with each other, long-range drones, and other types of devices and vehicles. 

A Large language model, LLM needs very high-power calculation capacity. The quantum computers can solve that problem. The AI-based operating systems can connect morphing neural networks with quantum computers. The idea in those hybrid systems is when a morphing neural network requires the quantum computer's assistance it calls quantum computers to share their calculation capacity. The morphing neural network can connect robots into one entirety. And it can emulate quantum computers. The morphing neural networks allow to reprogram cars in seconds. 

That means the car can call other robots to assist it. While a person works the morphing multipurpose robot system can call to the local market and then the robot can collect things into shopping bags and then load them into the car that drives those things to home. The AI-controlled drone can fly those things to the balcony. The morphing neural network allows the system. With limited calculation capacity can call other system's assistance. That makes also limited systems more effective.