IBM could be big winner as quantum computing exits science-fiction era

IBM (International Business Machines) told investors and the market that quantum computing is moving from research into practical application, and that the company could emerge as a major beneficiary as the technology scales. Reuters reports IBM has set a roadmap to deliver a practical, fault-tolerant quantum system by 2029 and plans larger systems by 2033, framing the challenge as engineering rather than new science.

Jay Gambetta, IBM’s vice president overseeing quantum efforts, said researchers have “answered those science questions” and that the next phase requires a grand engineering challenge rather than a miracle — a comment that underpins IBM’s confidence in its error-correction strategy and chip roadmap. The company intends to build its “Starling” quantum computer at a data center in Poughkeepsie, New York, aiming for roughly 200 logical qubits as an initial milestone toward advantage over classical machines.

The announcement comes as governments and private capital move to back quantum infrastructure; Reuters reported the U.S. will direct about $2 billion across several quantum firms and that IBM would receive $1 billion toward a new chip manufacturing venture, Anderon, reinforcing the commercialisation path and investor interest. Such policy support has already translated into share gains for companies tied to the funding.

From a market standpoint, IBM’s explicit timelines and clearer engineering focus reduce some of the uncertainty around commercialization, which could shift investor sentiment toward established tech incumbents that combine strong research heritage with scalable manufacturing plans. Industry analysts note, however, that significant technical hurdles — including qubit error rates, cooling and systems integration — remain before broad commercial applications are feasible.

Looking ahead, the key indicators investors should monitor are IBM’s progress against the Starling milestones, the operational ramp of Anderon’s manufacturing capacity, and real-world demonstrations of error-corrected workloads that surpass classical simulation. If IBM meets its engineering targets, it would strengthen the case for a gradual but material shift of compute spending toward quantum-enabled solutions over the next decade, benefiting firms that control both hardware roadmaps and critical supply chains.