Recently, there has been a rapid increase in interest in quantum computers. Their work is based on the use of quantum-mechanical phenomena such as superposition and entanglement for computing to transform input data into outputs that can actually provide effective performance 3–4 orders of magnitude higher than any modern computing devices, which will allow solving the above and other tasks in real and accelerated time scale. This work is a study of the influence of the environment on a quantum system of qubits and the results of its implementation. A probabilistic deep neural network decoder for stabilizer codes has been developed. The issues of error correction for a three-bit code without state decoding are analyzed and considered. The relevance of these studies lies in mathematical and software modeling and implementation of correction codes for correcting several types of quantum errors in the development and implementation of quantum algorithms for solving classes of problems of a classical nature. The scientific novelty of this direction is expressed in the elimination of one of the disadvantages of the quantum computational process. The scientific novelty of this area is primarily expressed in the constant updating and supplementation of the field of quantum research in a number of areas.
