NTT DOCOMO expands D-Wave quantum use after measurable network reductions

D-Wave Quantum Inc. (NASDAQ: QBTS) has secured a second production deployment of its quantum computing technology at NTT DOCOMO, INC., with Japan’s largest mobile operator using D-Wave’s annealing technology to optimize how groups of tracking areas are configured across its network. NTT DOCOMO reported that the new application reduced location-registration signaling generated when devices cross Tracking Area List boundaries by 65.3% at the daily peak while simultaneously reducing paging signals by 7.0%. The production problem covered 333 base stations, three Tracking Area Lists and nine tracking areas, with the optimization completed in approximately five minutes and the resulting configuration incorporated into DOCOMO’s network-planning and operating processes.

The deployment carries more weight than a conventional quantum proof of concept because NTT DOCOMO is using the output operationally rather than demonstrating an isolated algorithm in a laboratory. It is also the second production application D-Wave has developed with the telecom operator, which serves more than 93 million subscriptions. However, neither company published a classical-solver benchmark alongside the announcement, meaning the result demonstrates operational usefulness within DOCOMO’s workflow but does not by itself establish that quantum annealing outperformed the best available classical optimization approach.

What network problem is NTT DOCOMO solving with D-Wave quantum optimization?

Mobile networks constantly need to know roughly where connected devices are located so calls and data sessions can be delivered efficiently. Networks divide coverage into tracking areas, while multiple tracking areas can be grouped into Tracking Area Lists. A device crossing a relevant boundary may need to send a location-registration signal, while the network may send paging messages across areas when attempting to reach the device.

Those two processes create an optimization tension. Making Tracking Area Lists larger can reduce the frequency with which devices register their location because users cross list boundaries less often, but broader lists can increase paging traffic because the network must search a larger area. Smaller lists can have the opposite effect. The operator therefore needs a configuration that balances two competing sources of signaling load across a large network topology.

D-Wave’s latest application searches for configurations that reduce both types of signaling. According to the companies, applying the optimized arrangement to the representative 333-base-station problem reduced peak location-registration signals by 65.3% and paging signals by 7.0%. Those percentages are specific to the evaluated deployment and should not be interpreted as guaranteed reductions across NTT DOCOMO’s entire national network.

The application also extends the companies’ previous work. Their first production deployment focused on reducing paging signals within individual tracking areas, while the new system optimizes relationships across multiple tracking areas and Tracking Area Lists. Moving from one constrained network problem to a broader optimization layer gives the partnership more commercial significance because repeat deployments suggest the technology is being integrated into an ongoing operational process rather than abandoned after an experiment.

Why is a production quantum application more important than another laboratory benchmark?

Quantum-computing announcements frequently involve demonstrations where a problem is mapped onto specialized hardware without showing whether the output will become part of everyday enterprise operations. NTT DOCOMO’s deployment clears a higher threshold because the optimized network configuration has been incorporated into planning and operational workflows. That means engineers are willing to use the result to influence a live telecommunications network serving tens of millions of subscriptions.

Production use does not necessarily imply large revenue for D-Wave, but it provides evidence that at least one enterprise customer sees enough utility to repeat the technology after an initial deployment. That distinction is commercially important for quantum vendors attempting to move customer conversations from research budgets toward operational spending.

Annealing systems may also reach useful optimization workloads earlier than universal gate-model quantum computers because they are designed specifically around finding low-energy solutions to combinatorial problems. D-Wave has built its commercial strategy around this distinction while simultaneously developing gate-model technology. Telecommunications network configuration, scheduling, logistics and resource allocation are among the types of problems where the company is trying to establish near-term commercial relevance.

Does NTT DOCOMO’s 65.3% reduction prove quantum advantage over classical computing?

No. The announcement provides operational results but does not publish a controlled comparison showing that D-Wave’s quantum system solved the problem faster, more accurately or more economically than the strongest available classical method. Independent quantum-industry coverage has also noted the absence of a classical baseline in the disclosed results.

That does not make the deployment unimportant. A customer can obtain commercial value from quantum computing without first proving theoretical quantum supremacy, particularly if the workflow integrates well, produces useful solutions and can be operated at acceptable cost. For investors, however, there is a substantial difference between evidence of customer utility and evidence that competing classical algorithms cannot achieve similar outcomes.

The strongest interpretation is therefore narrower but still meaningful: D-Wave has progressed from experiments to a second operational quantum application at a major telecommunications company, and the customer has reported measurable reductions in network signaling. Whether those improvements are uniquely enabled by quantum annealing remains unproven by the information released so far.

Can production deployments begin to change D-Wave’s still-small revenue base?

D-Wave’s financial results show why repeated enterprise production use matters. The company reported second-quarter 2026 revenue of $3.1 million, essentially unchanged from a year earlier, while bookings increased 59% to $2.1 million. For the first half, bookings reached $35.5 million, up 1,120%, although that figure included a $20 million system sale whose revenue will be recognized over time. Remaining performance obligations reached $40.7 million, 668% higher year over year.

One particularly relevant metric is the composition of D-Wave’s quantum-computing-as-a-service activity. Production QCaaS revenue reached $1.3 million during the first half and represented 37.3% of total QCaaS revenue, compared with 9.8% in the corresponding period a year earlier. Although the absolute dollar value remains modest, the mix shift suggests commercial workloads are beginning to represent a greater portion of usage rather than the service being dominated entirely by experimentation.

The company remains far from conventional profitability. Second-quarter GAAP operating expenses climbed to $55 million and net loss reached $48 million, while first-half adjusted EBITDA loss was $69.9 million. D-Wave nevertheless ended June with $546.2 million in cash and marketable securities, giving it substantial liquidity relative to its current revenue base.

This combination creates a clear investor tension. D-Wave has enough capital to continue investing aggressively, bookings and remaining obligations are growing rapidly, and production deployments are becoming more visible. Yet current revenue remains only a few million dollars per quarter, meaning the market is valuing future commercialization far more heavily than present earnings power.

What does D-Wave’s volatile share price say about investor expectations for quantum computing?

D-Wave shares closed at $20.39 on August 21, gaining 8.46% in the session after declining through the previous several trading days. The stock had closed at $20.87 on August 17 before falling to $19.53 on August 18, $19.32 on August 19 and $18.80 on August 20. Its 52-week trading range extends from $12.75 to $46.75, leaving the latest price more than 56% below the 52-week high despite the strong single-day rebound.

That volatility is consistent with a company whose valuation depends heavily on expectations for an emerging market rather than near-term earnings. Each production deployment can strengthen the argument that quantum computing has practical commercial use, but small revenue and substantial losses make it difficult to anchor valuation using conventional operating metrics. Investors are effectively balancing early customer adoption against uncertainty over how quickly quantum workloads become large recurring revenue streams.

The NTT DOCOMO relationship improves the quality of D-Wave’s commercialization evidence because the customer has now progressed to a second production application and disclosed measurable operational outcomes. It would become considerably stronger evidence if future disclosures include broader network deployment, recurring contract economics, comparisons against classical optimization methods or material revenue contribution. Until then, the deployment represents a credible step toward commercial quantum computing, but not proof that the industry’s economic breakthrough has already arrived.