Microsoft’s quantum chief has questioned whether traditional peer review can keep pace with commercial quantum development. He may have a point about speed. But as investment, government policy and cybersecurity planning increasingly respond to quantum computing claims, the industry still needs credible ways to distinguish genuine engineering progress from results that have yet to be independently established.

The race to build a useful quantum computer has always occupied an unusual space between science and industry. Much of the technology remains rooted in fundamental physics, yet the organisations attempting to commercialise it include some of the largest technology companies in the world, specialist startups backed by substantial investment, universities and national research programmes.

That relationship becomes more complicated when commercial speed begins to collide with scientific verification.

Microsoft brought the issue sharply into focus this month when Zulfi Alam, the company’s Corporate Vice President of Quantum, questioned whether conventional academic publishing and peer review can keep pace with the rate at which commercial quantum technology is developing. Speaking to WIRED, Alam pointed to the time required to publish scientific papers and the commercial sensitivity of detailed experimental data, arguing that the traditional publication process no longer fits comfortably with the speed of the industry. There is a legitimate argument here. The more interesting question is what replaces it.

When science moves at commercial speed

Microsoft is pursuing topological quantum computing, an architecture that could offer considerable advantages if it can be made to work at scale. Its approach relies on creating and controlling states associated with Majorana zero modes, which researchers have pursued for years because of their potential to create qubits that are inherently more resistant to certain forms of error.

In June, Microsoft announced Majorana 2, its latest topological quantum processor. The company says a new materials architecture using lead rather than aluminium has produced qubits with a mean parity lifetime of around 20 seconds, representing what Microsoft describes as a 1,000-fold improvement over its previous generation. It now expects to build a scalable quantum computer by 2029, considerably accelerating its earlier roadmap.

If those advances translate into scalable topological quantum computing, they would clearly be significant.

The problem is that some researchers remain unconvinced that Microsoft has established all of the underlying physics as conclusively as its public announcements might suggest. Nature reported continued scientific scepticism following the Majorana 2 announcement, while a separate technical critique published in June questioned aspects of the evidence supporting Microsoft’s earlier topological-gap detection work. Microsoft subsequently published a response defending its interpretation.

That exchange is worth noting because it demonstrates something important. Scientific scrutiny can be uncomfortable and sometimes painfully slow, but disagreement followed by examination, response and further experimentation is precisely how confidence in a claim develops.

Peer review is not perfect

It would be too easy to turn this into an argument that peer-reviewed science is always right and corporate research is somehow less trustworthy. Neither proposition stands up particularly well.

Peer review can take months or years. Reviewers can disagree. Published research can subsequently prove incomplete or wrong, and commercially significant engineering frequently progresses faster than academic journals can document it.

Quantum computing also creates an additional problem because companies are investing heavily in proprietary fabrication methods, materials, control systems and device architectures. Releasing every piece of raw information needed for independent reproduction may disclose precisely the intellectual property that gives a company its competitive advantage.

Alam therefore has a point when he questions whether a publication system developed primarily for academic research is capable of functioning as the sole validation mechanism for a fast-moving commercial technology industry. But removing peer review does not remove the need for verification. It simply transfers responsibility for establishing trust somewhere else.

Microsoft knows why scrutiny matters

This question has particular resonance for Microsoft’s Majorana programme because the company has been here before.

In 2021, a Nature paper based on Microsoft-associated research into evidence for Majorana states was retracted. The retraction notice identified problems including corrections to data that had not been explicitly disclosed and a mislabelled figure axis. After reanalysis, the authors concluded that they could no longer claim the observation originally reported.

That history does not demonstrate that Microsoft’s current work is wrong. Scientific research advances precisely because theories, methods and results are challenged and improved. What it does demonstrate is why external scrutiny matters.

Indeed, the 2021 episode arguably strengthens the case for finding better validation mechanisms rather than abandoning them. A sophisticated organisation staffed by highly capable scientists can still reach conclusions that later require correction. The same is true of universities, laboratories and startups. Quantum physics does not become less demanding because the research is commercially sensitive.

The machine cannot be the only answer

Microsoft’s position ultimately appears to be that the strongest validation will be a working machine. If the company succeeds in producing a scalable topological quantum computer, many of today’s arguments will become academic in both senses of the word.

There is considerable logic to that. Engineering eventually has to produce something that works. But there is also a problem with using the final machine as the principal test. Quantum computing is attracting enormous amounts of capital long before that machine arrives. Governments are funding national programmes. Businesses are making technology decisions. Cybersecurity teams are planning post-quantum migration partly around expectations about the development of cryptographically relevant quantum computers.

Corporate announcements therefore have consequences before final technical validation. A claim about a new qubit architecture is not simply being considered by physicists who understand every qualification surrounding the experiment. It can quickly become an investor presentation, a government funding argument, a procurement assumption or a headline suggesting that practical quantum computing has suddenly moved several years closer.

The distance between a scientific result and the story subsequently built around it can become substantial. That is where the quantum industry faces a growing trust problem.

Quantum needs an assurance layer

The answer may not be to insist that every commercial quantum development passes through traditional academic publication before a company can discuss it. That would probably be unrealistic and could actively slow useful innovation. But the alternative cannot simply be to replace independent scrutiny with corporate confidence.

As quantum computing matures, the industry may need better mechanisms for technical assurance that sit somewhere between conventional peer review and commercial announcement. Independent benchmarking, controlled third-party verification, clearer disclosure of what has and has not been demonstrated, and commonly accepted definitions of technical milestones could all contribute.

We are already beginning to see this problem in the language used across quantum computing. Physical qubits, logical qubits, fidelity, error rates, quantum advantage and fault tolerance can describe very different levels of technical achievement depending on architecture and methodology. Comparing headline numbers without understanding how they were obtained can therefore tell us remarkably little. That problem becomes more important as commercial competition intensifies.

Trust has to scale with the technology

There is an irony in the current argument. Quantum computing is attempting to build machines whose operation depends on extraordinarily precise control and measurement of physical systems, yet the industry is still developing the mechanisms through which the outside world should measure confidence in the claims being made about those machines.

Microsoft may ultimately prove its critics wrong. Majorana 2 may represent another important step towards practical topological quantum computing, and the company’s ambition to reach a scalable system by 2029 gives it a very clear engineering target. But the wider issue will remain regardless of which quantum architecture eventually succeeds.

Commercial technology moves faster than academic publishing. That is probably unavoidable. What cannot disappear with peer review is the discipline that peer review was designed to provide: evidence capable of surviving examination beyond the organisation that produced it.

Quantum computing does not necessarily need to wait for every journal article before moving forward. It does, however, need a way for trust to keep up.