Performance Analysis of Quantum Computing Frameworks for Cryptographic Applications

Quantum computing represents a substantial threat to contemporary cryptographic systems, primarily due to the vulnerabilities introduced by quantum algorithms such as Shor’s algorithm, Deutsch’s algorithm, and Grover’s algorithm. In this study, advanced quantum computing frameworks, including Curl, PennyLane, and Qiskit, were selected to model these algorithms and to facilitate a comprehensive comparative analysis. A generalization scheme for quantum computing and its limitations are discussed. The pseudo-codes of the principal algorithms and their implications for cryptography are presented in detail. An empirical evaluation of time and memory consumption demonstrates that the Qiskit library exhibits superior performance in the implementation of the three aforementioned algorithms, requiring fewer lines of code, reduced execution time, and lower memory usage. This work offers insights into the efficiency of quantum computing algorithms and frameworks and highlights the broader impact of advances in quantum computing on traditional cryptographic paradigms.

Authors

Institutions

Publication Details

Journal
Programming and Computer Software
Published
2025-12-01
DOI
https://doi.org/10.1134/s0361768825700410
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Analysis of Quantum Computing Frameworks for Cryptographic Applications

Maksud Khamidov, M. Lapina, A. Tchernykh, M. Babenko et al.
Programming and Computer Software
Quantum Computing Algorithms and Architecture
article

Performance Analysis of Quantum Computing Frameworks for Cryptographic Applications

Maksud Khamidov, M. Lapina, A. Tchernykh, M. Babenko, A. Koronskiy
article en

Abstract

Quantum computing represents a substantial threat to contemporary cryptographic systems, primarily due to the vulnerabilities introduced by quantum algorithms such as Shor’s algorithm, Deutsch’s algorithm, and Grover’s algorithm. In this study, advanced quantum computing frameworks, including Curl, PennyLane, and Qiskit, were selected to model these algorithms and to facilitate a comprehensive comparative analysis. A generalization scheme for quantum computing and its limitations are discussed. The pseudo-codes of the principal algorithms and their implications for cryptography are presented in detail. An empirical evaluation of time and memory consumption demonstrates that the Qiskit library exhibits superior performance in the implementation of the three aforementioned algorithms, requiring fewer lines of code, reduced execution time, and lower memory usage. This work offers insights into the efficiency of quantum computing algorithms and frameworks and highlights the broader impact of advances in quantum computing on traditional cryptographic paradigms.

Programming and Computer SoftwareVol. 51(8)
Samarkand State University named after Sharof Rashidov (UZ), North-Caucasus Federal University (RU), Institute for System Programming (RU), Centro de Investigación Científica y de Educación Superior de Ensenada (MX)
Openalex Percentile: Top 13%
Quantum Computing Algorithms and Architecture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.