Quantum Cryptography, Its Learning, Simulation and Algorithm

Abstract

Quantum computing and cryptography are rapidly emerging as significant fields due to their potential to transform computation and secure communication. However, many existing learning platforms are fragmented, technically complex, and primarily designed for advanced users, with the acknowledge of basic computing, statistics security, networking and quantum physics mandatory to understand. To address this challenge, this research article presents Quantum simulator, a web-based integrated educational and simulation platform developed to simplify the learning of quantum computing and cryptographic security, navigates the transition to a quantum security framework, offering a critical analysis of encryption methods essential for the protection of critical infrastructure in the quantum era. The platform integrates theoretical learning modules, explanations of quantum algorithms, a visual quantum circuit simulator, automatic OpenQASM code generation, a BB84-based Quantum Key Distribution (QKD) simulator, documentation support, analytics, a Help and Complaints Section for user support, a chatbot for interactive query resolution, and a comparative module for classical and quantum computing. The system follows a layered web architecture that supports content delivery, simulation processing, and user interaction. Functional evaluation of the major modules demonstrates the feasibility of integrating conceptual learning, circuit design, cryptographic simulation, and learner assistance within one comprehensive platform. The results indicate that the proposed approach can enhance accessibility, conceptual clarity, practical engagement, and guided learning support for early-stage learners in quantum technologies. This paper not only forecasts quantum threats but also offers a sophisticated, actionable framework for strengthening infrastructure and algorithm model code for environments against the multifaceted challenges of the quantum era.