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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.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.The adjustment here is only the adjustment in the new rising process. If there are many callbacks, it is no problem to do some low suction properly.

If we can constantly break through and empower human beings, we will make great contributions to human beings, especially our domestic quantum computing is one of the best in the world, but it is only limited to the laboratory stage at present, and it will take 5 to 10 years before the real quantum computer.Market aspectSecure communication: Not only for the aspects close to our lives, but also for the encrypted communication of quantum computer, because of its non-cloning principle, it will make it impossible for intruders to decipher and eavesdrop without being discovered, which is determined by the nature of quantum computer itself.

Weather forecast: If we use quantum computer to analyze all the information at the same time and get the results, then we can know the exact trend of weather changes, thus avoiding a lot of economic losses.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.Traffic scheduling: Quantum computer can predict traffic conditions according to the existing traffic conditions, complete in-depth analysis, and conduct traffic scheduling and optimization.