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.