INFORMS Open Forum

The United Nations declared 2025 the International Year of Quantum Science and Technology, making this a perfect time for the O.R. community to ask:
What role will quantum computing play in our field?

Quantum computing promises breakthroughs in areas central to O.R., but the path forward is complex:

• Optimization: Algorithms like QAOA and quantum interior point methods aim to tackle combinatorial problems, yet practical quantum advantage remains elusive. Hybrid quantum-classical approaches already rely heavily on classical optimization techniques.
• Simulation: Quantum algorithms for matrix exponentials and Gibbs states could accelerate tasks like uncertainty quantification and Monte Carlo estimation, with potential benefits for risk modeling and decision analysis.
• Machine Learning: Quantum machine learning offers representational efficiency and speedups in theory, but near-term devices face challenges like barren plateaus and high variance, creating opportunities for O.R. methods in training and resource allocation.

Despite the hype, benchmarks often show classical heuristics outperforming near-term quantum algorithms. Still, the integration of quantum and classical methods—and the need for rigorous benchmarking—suggests a growing role for O.R. expertise in shaping this frontier.

What do you think?
How should O.R. professionals engage with quantum computing?

 Should we focus on theoretical research, hybrid algorithm design, or practical benchmarking?

Where do you see the most promising applications for our discipline

Read more on this topic here - What Can Quantum Computers Do for You? | ORMS Today