Here's How QBTS Deepens Quantum Push With Funding and New Deals

D-Wave secured access to up to $100 million under the U.S. CHIPS and Science Act to accelerate annealing and gate-model quantum R&D, alongside up to CAD$300,000 from Canada's NRC. Commercial traction included NTT DOCOMO's second production quantum application, which cut peak location-registration signals by 65.3% and paging signals by 7.0%, and AT&T's planned expansion of D-Wave technology for network optimization. The positive funding and deployment news is tempered by QBTS shares falling 36.2% over the past year, a 93.25x forward P/S valuation versus a 4.40x industry average, unchanged 2026 loss estimates, and a Zacks Rank #4 (Sell).

Analysis

The key equity question is not customer validation but conversion into recurring, high-margin revenue. Optimization workloads are among the few commercially plausible near-term quantum use cases, yet telecom deployments can remain low-ticket pilots embedded in consulting budgets; absent contract value, usage commitments, or quantified customer ROI, the announcements should not alter QBTS revenue estimates. Government support reduces financing risk only to the extent it is milestone-based, non-dilutive, and usable against cash burn rather than restricted R&D reimbursement.

QBTS remains exposed to a valuation-duration problem: at a 93x forward-sales multiple, even modest commercialization delays can drive multiple compression independent of technical progress. The more investable read-through is competitive: annealing may win narrow optimization workloads sooner than gate-model platforms, but that advantage is vulnerable if classical AI/operations-research software captures most of the savings at materially lower integration cost. AT&T's financial benefit is immaterial at group level; the relevant catalyst is whether it discloses network-cost savings and expands to paid production scale.

Over the next 1-3 months, quantum names may trade as a high-beta policy and AI-liquidity basket rather than on fundamentals, making headline rallies vulnerable to reversals. Over 6-18 months, the thesis requires a visible rise in commercial bookings, backlog, gross-margin trajectory, and cash runway; flat loss estimates imply the market has not yet received evidence of operating leverage. A disclosed material multi-year telecom contract or evidence that funded development shortens the path to cash-flow breakeven would falsify the bearish valuation view.

Contrarianly, the market may be underestimating the strategic value of sovereign funding and production references in procurement cycles, particularly for infrastructure operators unwilling to rely on a single foreign quantum vendor. But that optionality belongs in a small, catalyst-driven allocation, not as justification for paying software-like multiples before revenue quality is demonstrated.

Key Decisions for Investors

• Do not chase QBTS on announcement-driven strength. Treat any 15-20% rally without disclosed contract economics, backlog growth, or revised revenue guidance as a potential short-entry setup; use a close above the post-news high or a material paid-deployment disclosure as the stop/falsifier.
• Preferred relative-value expression: short QBTS / long HPE over a 3-6 month horizon. HPE offers quantum-adjacent HPC optionality with diversified earnings support, while QBTS bears the greater funding, execution, and valuation-duration risk. Size for quantum-basket volatility rather than beta neutrality alone.
• Maintain T as a watch item rather than a direct beneficiary trade. Upgrade the telecom-optimization angle only if AT&T quantifies opex savings, deployment breadth, or vendor spend at earnings; otherwise the impact is too small to affect consolidated estimates.
• Set an event-driven alert for QBTS quarterly results: initiate or add only if commercial revenue/bookings accelerate meaningfully, cash runway extends without equity issuance, and management identifies funded-program milestones. If those metrics remain absent, favor downside structures or the QBTS/HPE pair rather than outright long exposure.
• Avoid using QUBT or RGTI as clean sympathy longs: their announcements reinforce sector attention but do not establish interchangeable technology economics. A broad quantum short basket is higher risk because policy funding and retail momentum can dominate fundamentals over days to weeks.