A Gateway to Quantum Computing for Industrial Engineering
Emily L. Tucker, Mohammadhossein Mohammadisiahroudi
TL;DR
The paper addresses how IE/OR researchers can enter and shape the nascent field of quantum operations research (QOR) amid a steep learning curve and evolving hardware. It surveys foundational quantum concepts, current software/hardware ecosystems, and four algorithm families (linear algebra, optimization, ML, and stochastic simulation) with emphasis on near-term (NISQ) and long-term fault-tolerant horizons. Key contributions include a practical roadmap for skill development, methods to reformulate classical IE/OR problems for quantum solvers, and guidance on co-design between hardware and algorithms. The work aims to lower barriers to entry, foster collaborations, and chart directions where quantum technologies may deliver tangible industry and academic impact.
Abstract
Quantum computing is rapidly emerging as a new computing paradigm with the potential to improve decision-making, optimization, and simulation across industries. For industrial engineering (IE) and operations research (OR), this shift introduces both unprecedented opportunities and substantial challenges. The learning curve is high, and to help researchers navigate the emerging field of quantum operations research, we provide a road map of the current field of quantum operations research. We introduce the foundational principles of quantum computing, outline the current hardware and software landscape, and survey major algorithmic advances relevant to IE/OR, including quantum approaches to linear algebra, optimization, machine learning, and stochastic simulation. We then highlight applied research directions, including the importance of problem domains for driving long-term value of quantum computers and how existing classical OR models can be reformulated for quantum hardware. Recognizing the steep learning curve, we propose pathways for IE/OR researchers to develop technical fluency and engage in this interdisciplinary domain. By bridging theory with application, and emphasizing the interplay between hardware and research development, we argue that industrial engineers are uniquely positioned to shape the trajectory of quantum computing for practical problem-solving. Ultimately, we aim to lower the barrier to entry into quantum computing, motivate new collaborations, and chart future directions where quantum technologies may deliver tangible impact for industry and academia.