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The quantum entanglement in quantum computers must protect against outcoming effects. Quantum entanglement plays a key role in quantum computers. And the time that the entanglement stays determines the speed of the quantum computers.
Photonic entanglement is one of the most promising things in quantum computers. There is the possibility to use two- or more layers of graphene. And then, between those layers, the system will create the quantum entanglement by using photons.
That makes it possible to create quantum processors. The data would input those quantum systems by using lasers.
Lasers can give the energy stress in the superpositioned and entangled photon pairs. And those photons can affect electromagnetic fields between graphene layers.
Image 2) Diagram of QubiC prototype showing room-temperature electronics hardware. Credit: Gang Huang and Yilun/Berkeley Lab (Phys.Org/Open sourced control hardware for quantum computers)
The system senses those fields. One version is to install small silicon bites to graphene.
And that thing can make the system able to detect differences in the brightness of the quantum entanglement. That makes the interaction between the quantum entanglement and the physical system.
The photonic crystals can also help to create long-term quantum entanglement. The speed of light can drop to zero in the photonic crystals.
And that thing could help to create the stable quantum entanglement between photons. The photonic crystals can mount between graphene layers. And then, the system will use dropping of the speed of light while it creates the long-term quantum entanglement.
Quantum entanglement is an interesting thing. It can use to transport information between two objects. But it can also use to make an identical copy of the data flow that travels in the quantum computers. So quantum entanglement can transmit data vertically and horizontally.
Horizontal data transportation means that the quantum computer sends data between the data handling lines. That allows making the error detection in quantum computers. The idea is that error detection happens in quantum computers by simple things.
The data will double in two or more data handling lines. Data handling lines could be independent quantum computers. Or they can be internal structures of processors.
If those data handling lines are identical and they get identical results. There is the possibility that the answer is right. If the results of those lines are different. There is the possibility that the answer is wrong. And if there are multiple different solutions in multiple data handling lines. The answer is wrong.
The reason for multiple, different answers could be that the input is not correct. That means that the programmers should check the input and the code that controls the system.
The new scaling quantum computers are more powerful than ever before. The AI-based operational systems make those systems faster than people imagine. And maybe quite soon there is a possibility to use quantum computers without binary computing level. The problem with quantum computers is that the input devices are using the binary system. That means the bottlenecks are the screens and keyboards.
The new open-source systems can use to control quantum computers. Developing that system by using open-source methodology brings more qualified programmers to quantum computer projects. And the computer requires hardware and software for making successful operations.
https://phys.org/news/2022-02-entanglement-scaling-quantum-machine.html
https://phys.org/news/2022-02-sourced-hardware-quantum.html
https://www.sci-nature.vip/2022/02/speed-of-light-could-be-dropped-to-zero.html?m=1
https://spectrum.ieee.org/topological-photonics-entanglement-protection
Image 1) https://phys.org/news/2022-02-entanglement-scaling-quantum-machine.html
Image 2)https://phys.org/news/2022-02-sourced-hardware-quantum.html
https://thoughtsaboutsuperpositions.blogspot.com/
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