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Quantum Computing Approaches to Random Number Generation: A Digital Twin of Photon Beam Splitter Experiment using QuTiP
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 47 |
| Year of Publication: 2024 |
| Authors: Rounak Biswas, Utpal Roy |
10.5120/ijca2024924127
|
Rounak Biswas, Utpal Roy . Quantum Computing Approaches to Random Number Generation: A Digital Twin of Photon Beam Splitter Experiment using QuTiP. International Journal of Computer Applications. 186, 47 ( Nov 2024), 6-13. DOI=10.5120/ijca2024924127
Abstract
Quantum computing utilizes the inherent randomness characteristic of quantum mechanics, offering a promising framework for various applications, including random number generation (RNG), which is critical for cryptography and secure communication. This paper introduces a digital twin of a photon beam splitter experiment, simulated utilizing the QuTiP Python library, to model and analyse the probabilities of photon detection at varying beam splitter angles. By employing quantum principles such as superposition and entanglement, we illustrate how alterations in the angles of the beam splitter influence both the randomness and the convergence rate of the generated photon detection events. The resulting randomness, validated through rigorous statistical testing, emphasizes the potential of photon-based experiments to enhance RNG models. This investigation highlights the significance of quantum computing methodologies in the context of RNG and examines how digital twin simulations can improve the efficiency and security of quantum cryptographic systems. Furthermore, another motivation for this research is to explore diverse quantum methods for generating randomness, as the entire field of quantum computation is engaged in continually exploring efficient problem-solving strategies. The study carefully navigates this exploration to identify various means of integrating the intrinsic randomness of quantum systems with practical applications in the real world.
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