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2024-12-14 00:39:12

This is just like the previous new energy vehicles. The concept of new energy vehicles existed many years ago, and there were many kinds of news, and the market was often speculated, but it was always difficult to get out of the trend market. When the new energy vehicles can really be commercialized, the new energy vehicles will usher in a huge wave, and all kinds of new energy-related enterprises will also usher in a glorious moment.Market aspect


We also talked about the market in detail. Here, we can refer to the trend after October 8. Because it is mild here, the downward adjustment here will not be too deep, and there is no need to worry too much. After all, after 10.8 days, it is a big triangle accumulation, which has been accumulated for nearly two months. This breakthrough will definitely not end so soon.Quantum computer is a kind of physical device that follows the laws of quantum mechanics, performs high-speed mathematical and logical operations, stores and processes quantum information. In a broad sense, a device can be called a quantum computer when it processes and calculates quantum information and runs quantum algorithms.The breakthrough of Google's quantum chip detonated the whole plate. Is this direction worth investing?


Quantum computer is a kind of physical device that follows the laws of quantum mechanics, performs high-speed mathematical and logical operations, stores and processes quantum information. In a broad sense, a device can be called a quantum computer when it processes and calculates quantum information and runs quantum algorithms.Returning to the capital market, the breakthrough of Google's quantum computing is the same as a sudden technical breakthrough before, and it is difficult to produce a sustained rise after news stimulation. Unless we can see the realization of commercialization expectations in the future, then this imagination space will be enormous.Drug development: Quantum computers also have great advantages in developing new drugs. Quantum computers can describe trillions of molecular compositions and select the most possible methods, which will improve the speed of people's invention of new drugs and make more personalized analysis of pharmacology.

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