DEVELOPMENT OF METHODS OF OPTIMIZATION AND PARALLELIZATION OF COMPUTATIONAL PROCESSES IN QUANTUM ACCELERATORS

Abstract

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 theabove and others. tasks in real- and accelerated-time scale. This article is devoted to solving the problem of research and development of methods for optimizing quantum computing within the framework of the application of quantum accelerators. A block diagram of a hardware accelerator is proposed to increase the performance of simulated quantum computing. The development of the structural diagram of the communication module of the hardware accelerator and the software model was carried out. 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, and the computer simulation of quantum physical phenomena and features is poorly covered in the world.

References

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Published:

2021-08-11

Issue:

Section:

SECTION I. INFORMATION PROCESSING ALGORITHMS

Keywords:

Modeling, quantum algorithm, qubit, model of a quantum computer, entanglement, superposition, quantum operator, complexity of the algorithm