**Quantum Computing** is a field of computing focused on the development of computer technology based on the principles of quantum theory, which explains the behavior of energy and matter at the atomic and subatomic levels. The development of quantum computers, if practical, would make the jump from Abacus to a much larger computer efficiency than the modern-day supercomputer, where the performance of the billion-fold field and beyond. The basic principle of quantum computation is that quantum properties can be used to represent and structure data, and quantum processes can be created and created to perform operations with this data. Quantum computers are considered to be able to solve a number of well-known problems such as integer factorization (which includes RSA encryption) significantly more than classical computers. A subfield of quantum computing is the study of quantum computing.

Although quantum computing is still in its infancy, experiments have been conducted in which quantum computational operations have been carried out on very small quantum quantities. Quantum computing began in early 1970 when physicist Paul Ben off proposed the quantum mechanical model of the Turing machine. Richard Feynman and Yuri Manin later suggested that a quantum computer has the potential to mimic things that a classical computer cannot. The essential components of quantum computing originated with Paul Benef, working in the Argonne National Labs in 1981. In 1984, he was at a computation theory conference and began to wonder about the possibility of designing a computer-based on quantum rules, a few months after his breakthrough paper was published. Despite ongoing experimental advances since the late 1990s, most researchers believe that “fault-tolerant quantum computing is still a distant dream”. In recent years, investment in quantum computing research has increased in both the public and private sectors. In order to perform an algorithm a quantum computer must maintain consistency among its qubits (known as quantum involvement); Due to the almost inevitable operation of the environment (decoherence), practical methods need to be developed to detect and correct the defects; And finally, since measuring a quantum system is disrupting its state, effective reliable methods of data collection need to be developed.

Quantum computing is modeled by quantum circuits. Quantum circuits are based on quantum bits or “qubits”, which are somewhat consistent with bits of classical calculations. Cubits can be in 1 or 0 quantum states, or they can be in a superposition of states 1 and 0. In addition to the external magnetic field, radiofrequency pulses were applied to “flip” the spin states, creating an overlapping parallel and antiparallel state. However, when qubits are measured, the result is always either 0 or 1, but the probability of these two results depends on the quantum conditions that they were prior to the measurement. Quantum logic gates are calculated by conducting coyotes, which are somewhat similar to classical logic gates. Just one week before the announcement of the Qu-Quantum computer, physicist David Wineland and colleagues at the US National Institute for Standards and Technology (NIST) announced that they had created a “4-quantum quantum computer” linking four ionized beryllium atoms using an electronic magnet.

Any considered problem that can be solved through a classical computer can, in principle, be solved through a quantum computer. In contrast, quantum computers obey the Church – the Turing thesis; That is, any computational problem that can be solved by a quantum computer can also be solved by a classical computer. In addition, large-size dresses of identical quantum dots could possibly be made on a single silicon chip. The chip acts as an external magnet that controls the states of the electronic spin, while neighboring electrons are poorly coupled (embedded) through quantum mechanical effects. Importantly, quantum computers are believed to be able to solve some of the problems that no classical computer can solve in any possible time – this is known as “quantum domination” in part. In the case of quantum computers, the study of the known complexity of problems is known as quantum complexity theory.