Guest Post by Dr. Richard Padbury, Dr. Aaron Kemp, Dr. Cian Reeves.
In boardrooms around the world, a familiar question keeps coming up: When will quantum advantage arrive?
It is a fair question. Increasingly, though, it may be the wrong one.
That is not because quantum advantage has yet to be observed. A growing number of teams have reported results they describe as quantum advantage. Google demonstrated a verifiable quantum speedup for a specialized computational task.[1] IBM and its research partners have announced advantage results in chemistry and physics simulations.[2] Other groups have reported substantial gains for carefully defined problems.[3]
These results are significant. They represent years of scientific and engineering effort and offer strong evidence that both quantum hardware and software are advancing.
Yet quantum advantage is not a finish line waiting somewhere ahead. The concept itself continues to evolve.
Quantum and classical computing improve alongside one another, each raising expectations for the other. Some claims that appear impressive today may become less persuasive as classical methods improve. Other demonstrations may mark genuine scientific breakthroughs without immediately creating commercial value. In several cases, the lasting contribution is not the benchmark itself, but what it reveals about the maturity of the broader ecosystem.
Scientific achievement and practical value are related, but they are not the same thing. The companies building quantum technologies are often best positioned to demonstrate what is technically possible. Whether those advances matter commercially will depend on the problems they help solve and the outcomes they ultimately enable.
A more useful question emerges from this distinction. Rather than asking whether quantum advantage will arrive on a specific date, leaders should ask whether they are developing the expertise needed to recognize, evaluate, and capitalize on it when it does. Those engaging with the field today are doing more than preparing for a future technology. In subtle ways, they are helping shape what quantum advantage will eventually mean within their own industries.
A Moving Definition of Advantage
Part of the confusion surrounding quantum computing comes from how success is measured.
Scientific benchmarks, hardware improvements, and algorithmic breakthroughs all provide evidence that the field is maturing.[4][5][6] They tell us something important about what quantum systems may eventually achieve. For most enterprises, however, the real test is simpler: can a quantum approach produce a better outcome than the best available alternative?
Different stakeholders naturally answer that question differently.
Researchers may focus on scientific milestones. Hardware providers often focus on system performance. Software developers look at algorithmic capability. Industry practitioners care about solving real-world problems. None of these perspectives is sufficient on its own, and none is inherently superior. Together they provide a more complete picture of where value is emerging and where major obstacles remain.
From that perspective, the search for a single defining moment becomes less useful. Hardware, algorithms, software tooling, and classical methods continue to evolve simultaneously. Measures of success evolve with them.
Emerging results are best treated as signals. Some may prove foundational. Others may eventually matter less than they appear today. Distinguishing between the two remains part of the challenge.
In the meantime, these signals help illuminate promising application areas, test assumptions, and deepen understanding of where quantum computing might ultimately make a practical difference.
The Research-Development Divide
If timing cannot be predicted with confidence, a different strategic challenge comes into focus: how should companies prepare while the technology continues to evolve?
Most institutions are structured around delivery. Plans are developed, budgets approved, milestones established, and outcomes tracked against predefined objectives. There is an implicit assumption that disciplined execution will steadily reduce uncertainty.
Quantum computing does not currently behave that way.
Progress rarely follows a straight line. A promising algorithm may stall for years before advances elsewhere revive interest. A use case dismissed today may become viable as hardware improves. If the path to quantum advantage could be reduced to predictable milestones and measurable checkpoints, the problem would already be shifting into engineering.
Instead, much of the field remains exploratory.
Ideas are tested. Assumptions are challenged. Approaches are refined, abandoned, and revisited. Progress often arrives unevenly.
Many operating models are designed to manage delivery. They are far less comfortable managing discovery, particularly when the most valuable outcomes are not known in advance.
That may not be a temporary condition. It may simply reflect where quantum computing sits today.
For leaders, the implication is straightforward: reducing uncertainty and generating knowledge should be viewed as valuable outcomes.
Navigating Uncertainty Through Iteration
One of the more practical responses is to rethink how advancement is measured.
A completed project is one form of success. So is an answered question. So is an assumption that turns out to be wrong.
In emerging fields, understanding often accumulates through many small discoveries rather than a single breakthrough.
Large, uncertain challenges can be broken into smaller investigations. Each cycle explores a focused question, generating evidence that informs the next decision. Not every experiment produces a positive result, but negative findings are often useful as well. They narrow the search space.
Over time, patterns begin to emerge.
Some application areas show increasing promise. Others prove more difficult than expected. A few may not justify further investment at all.
Teams that systematically capture these findings develop a richer understanding of where quantum methods could eventually provide value. The record becomes more useful with time. New hardware architectures appear. Algorithms improve. Constraints that once seemed fundamental sometimes weaken.
Viewed over several years, the accumulated learning often matters more than any individual experiment.
Teams focused exclusively on when quantum computing will deliver a decisive advantage can become frustrated by uncertainty. Teams focused on what each exploration cycle reveals often maintain momentum because they can see evidence accumulating, even when transformative breakthroughs remain out of reach.
The result is not a conventional roadmap with fixed dates and predetermined outcomes. It is something more adaptive: a continuously refined picture of opportunity, risk, and unresolved questions.
Readiness as an Organizational Capability
The evolving nature of quantum advantage carries important implications for preparation.
Some leaders still view quantum computing as too early to warrant serious attention. There is logic behind that position. Commercial adoption remains limited, and genuine uncertainty persists across multiple dimensions.
Yet waiting carries its own risks.
History offers many examples of emerging technologies becoming broadly useful faster than expected. When that happens, companies without prior exposure often struggle to respond coherently. Efforts become fragmented. Competing priorities emerge. Learning takes place under pressure rather than through deliberate exploration.
Quantum computing may follow a similar pattern, although the barrier to entry is likely higher. Few technologies require a combination of physics, advanced computation, mathematics, and domain expertise.
Building expertise in those areas takes time.
The value of engaging now is not primarily about short-term returns. It is about developing institutional knowledge, informed judgment, and the ability to evaluate future developments as they emerge.
That raises an obvious question: what does effective preparation look like?
Building the Systems Behind Readiness
Preparing for quantum computing does not require betting heavily on a specific outcome, nor does it require confidence in a particular timeline.
What it does require is the ability to engage thoughtfully with an emerging technology whose future remains uncertain.
For most enterprises, the most immediate value is not production deployment. It is learning how to evaluate opportunities, identify meaningful use cases, build productive partnerships, and make informed decisions as the field develops.
Those responsibilities extend beyond technical specialists.
Business leaders, researchers, strategists, and domain experts all benefit from a shared understanding of where quantum computing might create value and where significant limitations remain. The goal is not to create a workforce of quantum physicists. It is to create enough fluency across the organization to have better conversations and make better strategic decisions.
Knowledge retention matters as much as knowledge creation.
Without deliberate mechanisms for capturing insights, teams often revisit the same questions repeatedly or lose valuable context as priorities shift and personnel change. Over time, accumulated lessons become an asset that is difficult for competitors to replicate.
As understanding grows, decision-makers gain a clearer sense of where attention should be focused, where uncertainty remains highest, and where new possibilities may be emerging. Perfect answers remain rare, but judgment improves.
There is also a broader benefit. The skills developed through quantum preparation are not exclusive to quantum computing. They strengthen an organization’s ability to evaluate emerging technologies, make decisions under uncertainty, and adapt as new information becomes available.
Those qualities remain useful regardless of which technologies ultimately succeed.
Seen from that perspective, the current phase is less a waiting period than an opportunity to build the knowledge systems and decision-making practices that will shape future outcomes.
Preparing for What Comes Next
Quantum advantage is unlikely to arrive as a single, universally recognized moment.
More likely, its impact will emerge gradually through a growing number of applications, measurable improvements, and new classes of problems that become tractable.
Timing matters, but readiness matters more.
The companies that benefit most may not be those that perfectly predict the future. They are more likely to be those that spent time understanding the field, testing assumptions, building expertise, and developing informed points of view while the technology was still evolving.
The goal, then, is not to forecast the exact moment of arrival. It is to build the capacity to recognize meaningful change when it appears, contribute informed perspectives to the conversation, and act with confidence when new opportunities emerge.
In a field where even the definition of practical advantage continues to evolve, those engaging today will do more than prepare for the future.
They will help define it.
References:
- https://blog.google/innovation-and-ai/technology/research/quantum-echoes-willow-verifiable-quantum-advantage/, retrieved from the web, Aug 5, 2026.
- https://www.ibm.com/quantum/blog/quantum-advantage, retrieved from the web, Aug 5, 2026.
- https://q-ctrl.com/blog/q-ctrl-delivers-3-000x-speedup-in-materials-discovery-for-the-energy-sector-with-quantum-computing-and-demonstrates-evidence-of-practical-quantum-advantage, retrieved from the web, Aug 5, 2026.
- https://www.ionq.com/resources/benchmarking-white-paper, retrieved from the web, Aug 5, 2026.
- Lolur, P., van Velzen, J., Padbury, R. P.& Kemp, A. (2026, July 1). Validating Quantum Advantage: A Framework for Responsible Industry Claims. https://doi.org/10.5281/zenodo.21101999
- Lanes, O., Beji, M., Corcoles, A. D., Dalyac, C., Gambetta, J. M., Henriet, L., Javadi-Abhari, A., Kandala, A., Mezzacapo, A., Porter, C., Sheldon, S., Watrous, J., Zoufal, C., Dauphin, A., & Peropadre, B. (2025). A Framework for Quantum Advantage. arXiv. https://arxiv.org/abs/2506.20658
