Research on Modeling Quantum Computing Applications in Mine Equipment Configuration and Operations

Abstract

This paper explores the optimization of mine equipment configuration and operations using quantum computing and the Quadratic Unconstrained Binary Optimization (QUBO) model. It highlights quantum computing's ability to enhance problem-solving efficiency and solution quality, especially for complex and multivariable optimization problems, compared to traditional methods.The research focuses on two main areas: optimizing equipment configuration and scheduling operations. For equipment configuration, potential schemes are analyzed for complexity and cost-effectiveness, with validation on quantum hardware. For operation scheduling, equipment data is analyzed to create an optimization model, demonstrating improved efficiency through simulations.The study concludes that quantum computing significantly enhances efficiency and solution quality for mine equipment management, proving its superiority over traditional methods.