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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 aspectI believe that if the quantum computer can be commercialized in the future, it is expected to be no less than the new energy vehicle, which is a historic moment for the whole computer industry.

In terms of transaction volume, it has also shrunk to 1.7 trillion yuan again, which is 420 billion yuan less than that on Tuesday. This shows that the driving effect of funds on expectations is obviously weakening. If we really want to get out of the sustained rise, we still need obvious improvement in various data of economic environment fundamentals.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.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.

I believe that if the quantum computer can be commercialized in the future, it is expected to be no less than the new energy vehicle, which is a historic moment for the whole computer industry.The breakthrough of Google's quantum chip detonated the whole plate. Is this direction worth investing?Traffic scheduling: Quantum computer can predict traffic conditions according to the existing traffic conditions, complete in-depth analysis, and conduct traffic scheduling and optimization.