Summary
The article’s capstone thesis is blunt: after surveying hundreds of papers, practical quantum advantage looks narrow and problem-specific. It argues that real, defensible gains will emerge in pharma, chemicals, batteries, advanced materials, and condensed-matter physics, where quantum-native simulation maps directly to core R&D. For finance, logistics, and machine learning, the empirical case is weak so far, despite hype. This piece consolidates the Quantum Utility Map series into a single strategy for where to invest and where to pause.
For cyber leaders, the message is to align expectations and budgets with evidence. Near-term value concentrates in physics-heavy workloads, not broad enterprise acceleration. Prioritize pilots tied to molecular and materials modeling, and keep most other use cases on a measured watchlist until utility signals improve.
Security remains the exception. Even if application wins are narrow, cryptographic disruption is asymmetric, given harvest-now-decrypt-later risk and the eventual threat to public-key systems. The actionable plan is clear: accelerate PQC migration, enforce crypto agility, inventory and rotate vulnerable cryptography, and tighten supplier requirements. Use the narrow-advantage lens to invest in PQC readiness now while tracking genuine quantum utility where it is most likely to land.
Read more
See the original article at: https://postquantum.com/quantum-utility-map/quantum-computing-narrow-advantage/