Assessing the Impact of Quantum Computing on Data Encryption Practices and Information Security

Encryption of data is a cornerstone of information security with confidentiality, integrity, and availability of sensitive information. However, the advent of quantum computing (QC) adds complexity to the classical encryption mechanisms by threatening their quantum resilience. This work looks into incorporating QC into cryptographic schemes through the evolution of an Elliptic Quantum Cryptosystem (EQC), fusing elliptic curve cryptography (ECC) and quantum annealing. The objective is to offer protection against attacks in conventional cryptographic schemes and enhance quantum attack resistance. Quantum annealing maximizes encryption through quantum fluctuations to locate best solutions, resulting in higher efficiency and reliability. The research examines top performance measures, including encryption time, decryption time, bit error rate (BER), computational efficiency, level of security, and scalability. Experimental results confirm that the proposed EQC technique has improved performance compared to existing approaches. Specifically, it takes 35 ms encryption time, 40 ms decryption time, 0.0005% BER, 80 seconds computational complexity, 9 level of security, and graded scalabilit