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What are the main courses of quantum information science in 2022?
What courses are there in quantum information science? Introduction to computer science, digital circuit and logic design, computer composition principle, data structure and algorithm, etc. Quantum information mainly involves: quantum cryptographic communication, quantum teleportation and quantum dense coding. Recently, this topic has gradually moved from theory to experiment and to practical development. Efficient and secure information transmission has attracted more and more attention.

The future prospect of quantum information science in 2022 is still very good, because the future quantum information science is still very promising, very useful and needs a lot of technology, so it is very promising.

Even those who think they are extremely talented should actually avoid the research direction of quantum physics. Information, control, life and other fields are good directions. Your children like physics, and it is the best and most difficult to choose quantum mechanics. The harder it is, the more forward it is, and the happier it is. If you choose an unpopular major and want to eat along it after graduation, postgraduate entrance examination is the best choice. It doesn't matter if you study for a few more years

The introduction of quantum information science has attracted the attention of relevant education departments. The establishment of quantum information science will train more professionals for the society, make up for the shortage of talents in the field of quantum science and technology, increase social employment, and promote the development of national quantum science and technology to a certain extent.

The prerequisite courses of quantum mechanics include all the basic courses of mathematics and physics, such as advanced mathematics, line generation, probability statistics, mathematical and physical methods (complex variables, differential equations), analytical mechanics (Hamiltonian system) and so on. In the corresponding direction, if you want to understand the basic complexity theory, you need discretization, algorithm and data structure, and at least one language course; If you want to know more about the encapsulation of qubits into logic hardware and upper-level architecture, you need more EE courses (digital logic, architecture, etc. ).