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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.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.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.

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.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.

Small-cap stocks were generally active in the market yesterday, while the heavyweights were generally weak. In fact, it was mainly because Tuesday's gains were generally high and low, and most heavyweights came out to take advantage of the trend of good shipments, so it was completely understandable that they were not strong.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.