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Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Practical Guide to Quantum Computing for Quantum-Safe Cryptography: Asymmetric-Key Cryptography # 3

Authors: Pavlov, Mikhail;

Practical Guide to Quantum Computing for Quantum-Safe Cryptography: Asymmetric-Key Cryptography # 3

Abstract

Abstract This guide explores asymmetric-key cryptography (AKC) as part of quantum-safe cryptographic practices using IBM Q. Asymmetric cryptography underpins many secure network communications today, providing mechanisms for key exchange, digital signatures, and authentication. Unlike symmetric-key cryptography, AKC uses a public-private key pair, enabling secure communications without sharing a secret key. The lesson covers: Fundamentals of asymmetric-key cryptography. Practical applications, including RSA, DSA, and elliptic curve algorithms. Python examples demonstrating key generation, encryption/decryption, and digital signatures. Evaluation of security considerations against classical and quantum computing attacks. Discussion of potential vulnerabilities and mitigation strategies in the quantum era. By integrating theory with hands-on experimentation on IBM Q, developers gain practical skills to implement asymmetric-key cryptography while understanding the impact of emerging quantum threats and preparing quantum-resilient secure systems.

Keywords

Quantum computing; quantum-safe cryptography; asymmetric-key cryptography; AKC; RSA; DSA; elliptic curve cryptography; IBM Q; public-private key pair; digital signatures; key exchange; quantum threats; Python cryptography; secure network communications; quantum-resilient security.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average