Preparing for the Quantum Computing Acceleration
Preparing for the Quantum Computing Acceleration
https://www.bain.com/insights/preparing-for-the-quantum-computing-acceleration/
Publish Date: 2026-06-22 15:07:00
Source Domain: www.bain.com
For years, boards have held quantum at a familiar distance: eventually important, potentially transformative, and clearly disruptive but still “far enough away” to leave to research labs. That assumption is now much harder to defend.
The technology is moving toward fault-tolerant systems by 2028 to 2029, with IBM’s roadmap targeting 200 logical qubits in 2029. At that threshold, quantum machines will begin to outperform classical systems on some high‑complexity optimization and simulation problems. For hardware players, this will mark a major step toward fault‑tolerant quantum computing; for enterprises, it will be the point at which quantum can start to generate a computational competitive advantage.
Industries where differentiation is rooted in rapid simulation models or optimization of scenarios will be the first to realize this advantage, such as designing molecules and treatments (life sciences, healthcare), orchestrating global logistics networks, managing financial risk (banking and insurance), optimizing battery chemistry (chemicals), or modeling dynamic systems in aerospace, energy, manufacturing, and utilities. In these domains, smarter computation directly translates into faster innovation, lower costs, higher resilience, and improved sustainability.
But to realize the gains, companies need to be ready to master quantum computing (QC), adding it to other capabilities in their analytics arsenal along with machine learning and artificial intelligence. Move too slowly, and they risk slipping into a widening gap behind competitors that develop this advantage faster.
Early movers that embed quantum into their analytics will be able to reset cost bases, speed, and quality in ways that late adopters cannot easily match. Because building quantum capabilities takes three to four years, followers may find themselves structurally behind by the time the technology stabilizes.
CEOs and executives shouldn’t still be asking whether…
