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DEVELOPMENT OF CORRECTION CODES FOR CORRECTING SEVERAL KINDS OF QUANTUM ERRORS
S.M. Gushanskiy, V. S. Potapov, V.I. Bozhich2020-10-11Abstract ▼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 input data into output data that can actually provide effective performance 3 to 4 orders of
magnitude higher than any modern computing devices, which will solve the above and others tasks in
a natural and accelerated time scale. This article is devoted to solving the problem of research and
development of corrective codes for correcting several types of quantum errors that appear during
computational processes in quantum algorithms and models of quantum computing devices. The aim
of the work is to study existing methods for correcting various types and types of quantum errors and
to create a 3-qubit corrective code for quantum error correction. The work touches upon the tasks of
research and development of the functioning methods of quantum circuits and models of quantum
computing devices. The relevance of these studies lies in the mathematical and software modeling
and implementation of corrective codes for correcting several types of quantum errors as part of the
development and implementation of quantum algorithms for solving classes of classical problems.
The scientific novelty of this area is expressed in the exclusion of one of the shortcomings of the
quantum computing process. The scientific novelty of this area is primarily expressed in the constant
updating and addition of the field of quantum research in a number of areas, and computer simulation of quantum physical phenomena and features is poorly illuminated in the world. The aim of the work is computer simulation of a quantum computing process using the method of correcting
phase types of errors, which allows one to evaluate the own phase of a unitary gate that has
gained access to the quantum state in proportion to its own vector. -
DEVELOPMENT OF MICRO-COMMANDS AND BASIC UNITS OF THE HARDWARE ACCELERATOR OF QUANTUM CALCULATIONS
S.M. Gushanskiy, V.S. Potapov, Y.M. Borodyansky2021-02-13Abstract ▼At all stages of the development of information technology, much attention has been paid to
the issues of modeling functioning specialized high-performance computing systems, which make it
possible to provide the necessary performance indicators in combination with minimized costs of
software resources and energy consumption. The developed information system, focused on human-
machine interaction, allows you to clearly see the strengths and weaknesses of the developed
quantum computing device, to prove the advantages of its use. The developed modeling information
system is a visual aid for understanding the main methods of interaction between information
processes and information resources. A number of the most important problems cannot be
solved using classical computers, including classical supercomputers, in a reasonable time. Recently,
there has been a surge in interest in quantum computers. This article is devoted to solving
the problem of research and development of a circuit and a simulation technique for a hardware
accelerator of quantum computing. The work touches upon the problems of research and development of methods for the functioning of quantum circuits and models of quantum computing devices.
The relevance of these studies lies in the mathematical and software modeling and implementation
of the fundamental components of quantum computing models. The scientific novelty of
this direction is expressed in the optimization of the quantum computational process. The scientific
novelty of this area is primarily expressed in the constant updating and supplementing of the field
of quantum research in a number of areas. The aim of this work is to implement a technique for
constructing a hardware accelerator. The technical support of the information quantum system
and processes has been implemented, including new software for the transmission and presentation
of information. The use of a quantum computing information system differs from its counterparts
by a significant increase in the speed of solving computational problems and, most importantly,
by an exponential increase in the speed of solving NP-complete problems that can be
solved on classical machines in unacceptable time. Due to the fact that the class of NP problems is
wide, the applicability and significance of the developed method for constructing a modular system
of quantum computing is beyond doubt. -
DEVELOPMENT OF METHODS OF OPTIMIZATION AND PARALLELIZATION OF COMPUTATIONAL PROCESSES IN QUANTUM ACCELERATORS
S. M. Gushanskiy, V. S. Potapov, V.I. Bozhich2021-08-11Abstract ▼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. -
IMPLEMENTATION OF A PROBABLE DEEP NEURAL NETWORK DECODER FOR STABILIZER CODES
S.M. Gushanskiy, V.N. Pukhovsky, V.S. Potapov2021-12-24Abstract ▼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.








