The quantum computer can be the answer to AI requirements.
The combination of pressure and low temperature makes it possible to create new types of superconductors. That thing allows researchers to create new fundamental quantum computers. And as you see advancing of quantum computers advance their advance. When quantum computers participate in quantum computer research and development, that thing makes them more advanced than ever before.
Another thing is that: quantum computers advance slower or less dramatically than the first quantum computers. The quantum computers are the most advanced tools that we can imagine. When we think about their role in high-power computing, those systems will become more and more effective. When more people and laboratories participate in those quantum computer R&D processes. That makes them more effective than before.
The "less dramatic" advance means that. Quantum computer advances happen in places. Where the users cannot see. That thing is the increase in the qubit states. Or making more advanced AI. That can control qubits. Somebody is sometimes the next breakthrough in quantum computing.
The next big breakthrough is the room-temperature quantum computer. But to make that thing real researchers must work hard. Things like crystal technology, artificial diamonds, and extremely stable conditions can make the room-temperature quantum computer real quite soon.
It's possible. The quantum computer's super cold heart is in the pressurized and very cold gas in miniature tubes. Then there can be the thermos tube there vacuum isolates the superconducting part of the quantum computer. The idea is that the pressurized and low-temperature part of the system is as small as possible.
Almost every day we can read about some fundamental advances in quantum computing. The next-generation materials require very complex models. The manufacturing systems must react immediately if something in the environment changes. Those next-generation materials are things that quantum computers require.
Quantum computers require new types of encryption. But they can also run the new AI models. The new large language models, LLMs are things that are more and more advanced. Every new skill that the LLM has spreads its size. And LLM requires lots of machine power. The new LLMs are more multitasking and versatile. That means they are larger. And those larger LLMs require new types of database structures and new types of code control.
Quantum computers are the answer to the computer requirements that the new large AI models require. And even if the LLM does not turn larger or more versatile. The growing number of users means that the physical systems, or iron must increase its power. And that is one of the things where quantum computers can give a response. The quantum computer itself can be energy efficient. But all its support systems like large-size cooling systems require lots of energy.
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