The Revolution of Quantum Computing: Analyzing Its Effects on Cryptographic Security and Algorithmic Efficiency

Abstract

This study examines how quantum computing influences cryptographic security and algorithmic performance. Quantum computers, using qubits, superposition, and entanglement, present dangerous levels of risks to traditional cryptography and show promising potential for calculated speed. For predicting secure and efficient quantum computing, the current study adopts some machine learning models such as Decision Trees, Random Forests, and K-nearest neighbours. The Decision Tree model is the most accurate model with 100% precision, and there is a need to incorporate studies and research on quantum-safe algorithms and post-quantum cryptography for potential risks brought by quantum in the future.