when we read it, this is the solution to the problem,” explains dmitry chermoshentsev.can be used, for example, by real estate market analysts. we have 100 houses, yes, and we we want to choose which ones we need to invest our money in. the answer to our problem will be a sequence of zeros of ones, where the ones will be opposite those houses that we should buy, and zeros opposite those that we should not invest in. on a classical computer , you and i will need to sort out two to the power of 100 options, well, during our lifetime we will definitely not be able to solve such a problem; quantum simulators will solve such a problem quite efficiently and well. to to justify the principles of operation and the goals of creating the simulator, chermoshensky's team wrote so -called quantum-inspired algorithms. big business has already paid attention to them. if we work with the oil and gas industry, we can improve the efficiency of well servicing, and we can apply quantum computing to logistics. with the help of quantum simulators it will be possible. to set up a clinic, even