Abstract
Welcome to the first installment of our Special Issue on “Innovations in Modeling & Simulation: Bridging Foundational Methods, AI, and Quantum Computing”.
The field of Modeling and Simulation (M&S) is going through a major transformation. To tackle increasingly complex challenges, researchers are combining foundational methodologies (such as discrete event system specification and agent-based modeling) with powerful new technologies like artificial intelligence (AI) and quantum computing. This combination helps enhance model fidelity, automate processes, and speed up computation.
Due to a high volume of excellent submissions, we are publishing this special issue as a recurring series. Instead of holding papers back to group them by theme, we are releasing them in installments as they are accepted. This ensures that authors do not wait on a backlog and that the community gets access to new research immediately.
This July issue marks the first installment of the series and features four accepted articles:
Smart Simulations, Safer Systems: Agentic AI and Cybercrime in E-Government by Shahrukh Mushtaq and Dilek Onkal. This paper introduces a methodology that uses agentic AI to simulate human behavior, focusing on predicting employee compliance with cybersecurity policies in the e-government sector.
Comparative Analysis of Quantum Emulation for High-Performance Computing Centers by Jefferson Andrés Bravo Montes et al. This study tests four quantum emulation frameworks (QuEST, Qaptiva HPC, CUDA-Q, and PennyLane) across different high-performance computing (HPC) platforms. It provides practical guidance on optimizing classical hardware to run quantum algorithms during the current noisy intermediate-scale quantum (NISQ) era.
Bootstrapping SysML with LLM-based Inference and Integrated Discrete Event Simulation by Abdurrahman Alshareef. This research integrates large language models (LLMs) with model-based systems engineering (MBSE). It shows how an automated pipeline can take basic text inputs and convert them into executable discrete event system specification (DEVS) models, successfully demonstrating the approach on a semiconductor wafer fabrication process.
Benchmarking Quantum Computing Statevector Simulators on HPC by Jesús Cerrudo-Herrera et al. This paper evaluates seven statevector-based quantum circuit simulators (such as Qiskit, Qulacs, and Qibo) on a multicore HPC node. Through the execution of algorithms like Grover’s and the Quantum Fourier Transform, the authors provide clear data on memory usage, execution times, and core scalability.
We hope you find this first set of papers insightful. We look forward to sharing more research in our upcoming installments.
