Mimicking Photon Source Measurement with Quantum Digital Twin: A Framework for High-Quality Randomness

Abstract

Digital twins are virtual duplicates of tangible objects or systems. Within computer science, they play a pivotal role in simulating the software development life cycle, allowing for dynamic real-time testing and optimisation. Expanding beyond the confines of computing, sectors like manufacturing harness digital twins for predictive maintenance, ensuring operational efficiency, while healthcare employs them to replicate patient conditions, contributing to personalised treatment strategies. Through our efforts, we are crafting a digital twin of a renowned quantum mechanical attribute. This endeavour not only grants us insights into the inherent randomness intrinsic to quantum systems but also allows us to formulate a theoretical framework for a randomness generator using the model of this quantum digital twin. The outcomes, substantiated by results and plotted figures, substantiate our assertions, making a noteworthy impact on the advancement of authentic quantum random number generator sources. We are not just creating a novel avenue for generating randomness but pioneering a paradigm shift. Rooted in the digital twin model, our comprehensive framework affirms its efficiency when compared with the precision of the photon-based model.