Exploring quantum utility for aerospace

2026-05-27 · Source: IBM Research · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Robotics & Autonomous Systems · Depth: Advanced, extended

Summary

The IBM quantum industry webinar, "Exploring quantum utility for aerospace," featuring experts from IBM and Boeing, details the transformative potential of quantum computing for the aerospace sector. The industry faces escalating costs, decarbonization pressures, and supply chain complexities, while traditional compute power gains are slowing. Quantum-centric supercomputing, exemplified by IBM's system at the RIKEN center, is presented as a complement to classical systems, accelerating specific workloads. Key application areas include chemical and material simulation, such as developing high entropy alloys for hypersonics and analyzing corrosion or photochemistry using the SQD algorithm, and computational fluid dynamics (CFD) for turbulence simulation. IBM's roadmap targets a 200-qubit fault-tolerant quantum computer by 2029, capable of 100 million two-qubit gates, promising a significant expansion of the application space.

Key takeaway

For AI Scientists and Research Scientists evaluating future computational strategies, this content underscores the necessity of integrating quantum computing into long-term plans. Begin identifying compact, hard problems for proofs of concept now, as the learning curve is steep (four years to application development) and fault-tolerant quantum computers are projected by 2029, offering significant advantages in chemical simulation and optimization. Engage with quantum ecosystems to address talent shortages and access critical resources.

Key insights

Quantum-centric supercomputing offers exponential speedups for specific aerospace workloads like materials simulation and CFD.

Principles

• Combine quantum and classical computing for optimal performance.
• Early engagement is crucial due to steep learning curves and talent shortages.

Method

Identify critical quantum use cases, develop proofs of concept, and join quantum ecosystems to upskill teams and access resources, considering the 2029 fault-tolerant quantum computer arrival.

In practice

• Simulate high entropy alloys for hypersonic aircraft.
• Model turbulence for aircraft takeoff/landing.
• Analyze composite coating degradation from UV light.

Topics

• Quantum Computing
• Aerospace Engineering
• Chemical Simulation
• Computational Fluid Dynamics
• High Entropy Alloys
• Quantum Roadmap

Best for: AI Scientist, Research Scientist, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by IBM Research.