Evaluation of the Efficiency of Quantum Information Processors

This paper presents an algorithm for calculating a previously proposed decoherence measure, which numerically describes the maximum deviation in the probability of obtaining a desired outcome. This algorithm is based on parameterization of operations and gradient descent for parameter optimization. The algorithm was tested for estimating the decoherence measure of a simple two-qubit operation. A comparison of the algorithm with grid-based search was conducted. The proposed algorithm is suitable for execution on a real quantum computer.

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Publication Details

Journal
Russian Microelectronics
Published
2025-12-01
DOI
https://doi.org/10.1134/s1063739725601481
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluation of the Efficiency of Quantum Information Processors

L. E. Fedichkin, D. Tarpanov
Russian Microelectronics
Quantum Computing Algorithms and Architecture
article

Evaluation of the Efficiency of Quantum Information Processors

L. E. Fedichkin, D. Tarpanov
article en

Abstract

This paper presents an algorithm for calculating a previously proposed decoherence measure, which numerically describes the maximum deviation in the probability of obtaining a desired outcome. This algorithm is based on parameterization of operations and gradient descent for parameter optimization. The algorithm was tested for estimating the decoherence measure of a simple two-qubit operation. A comparison of the algorithm with grid-based search was conducted. The proposed algorithm is suitable for execution on a real quantum computer.

Russian MicroelectronicsVol. 54(8)
Kurchatov Institute (RU)
Affordable and clean energy
Openalex Percentile: Top 12%
Quantum Computing Algorithms and Architecture
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