In the 20th century, when we began to observe nature at atomic and subatomic scales, it was obvious that the classical model was not enough to predict the properties of small distances. On the contrary, a quantum model is needed, which introduces incredible characteristics that are finally verified in nature:
Classical models can describe systems of particles or waves, but these are completely different phenomena. In the quantum model, matter shows the properties of waves and particles. This behavior allows two classical polarization directions (for example? Going? Or? Next? ) systems such as magnets are in a state of quantum superposition, and at the same time? Going? And then what? Next? Polarization. Is it okay for a multi-department country? Tangled? , showing a stronger correlation than the classical theory allows.
In the 20th century, we used quantum models to design new technologies such as transistors and lasers, which fundamentally changed our lives. Now, in the 2 1 century, we began to use quantum properties to build new computers and new communication equipment. This requires a completely different way of thinking to think about how to solve computer problems, especially how difficult it is to solve some problems.
These are profound problems with practical significance. Cryptography allows us to keep confidential information containing sensitive information such as financial or health data, and its basis is to require anyone except authorized personnel to perform very difficult calculations to steal information. Our current concept of difficulty is based on the classical model. In the quantum world, many classic calculations are actually very easy.
One of the direct applications of quantum devices is to simulate nature by calculating the properties and behaviors of chemical systems and physical devices at the quantum level. These are one of the most difficult simulations on classical computers at present. Quantum computer can be a game changer, and it can model more realistically on the actual time scale. For example, this simulation can have a wide impact on drug design, sustainable power generation and the development of new materials.