D-Wave Bookings Surge 1,120% as Quantum Computing Shifts to Production Use
The quantum-computing company reported $35.5 million in first-half bookings, a more than twelvefold increase from a year earlier, as enterprise customers moved from experimentation to deployment.
D-Wave Quantum (QBTS), a quantum-computing systems provider, posted first-half 2026 bookings of $35.5 million, a more than 1,120% jump from $2.9 million in the same period a year ago, as commercial adoption of its annealing platform accelerated sharply. Remaining performance obligations — contracted revenue yet to be recognized — climbed 668% year-over-year to $40.7 million, giving the company a larger backlog to draw on in coming quarters.
The bookings surge reflected a meaningful shift in how customers are using the technology. Quantum-computing-as-a-service production revenue — revenue tied to operational, business-critical workloads rather than research or pilot projects — accounted for 37.3% of total QCaaS revenue in the first half. That mix change suggests D-Wave's annealing systems are moving beyond proof-of-concept engagements and into the workflows of enterprise buyers, a transition that has long been the central hurdle for the quantum-computing industry.
On the annealing side, D-Wave outlined an expanded hardware roadmap. The next-generation Advantage3 system targets 100,000 qubits by 2031, with an intermediate 20,000-qubit system expected in 2029. The company also disclosed a scalable I/O prototype that would allow a 100,000-qubit system to operate with no more than a 20% increase in input-output lines over the current 4,500-qubit Advantage2 architecture, a design framed as a path to scaling without a proportional rise in engineering complexity.
D-Wave simultaneously advanced its gate-model quantum computing program, a separate technical approach from annealing that targets a broader class of computational problems. The company's gate-model roadmap, first disclosed in June and reiterated in August, sets milestones of a 17-qubit system in 2026, a 49-qubit system in 2027, and a 181-qubit system in 2028, with longer-term targets of 10 logical qubits by 2030 and 100 logical qubits by 2032. The consistency of those targets across two successive disclosures signals no revision to the company's development timeline.
A peer-reviewed paper published in Nature on August 5 provided external validation for the dual-rail qubit architecture underpinning D-Wave's gate-model strategy. The study demonstrated two-qubit gate fidelity of approximately 99.9% and gate times of roughly 500 nanoseconds, with simulations indicating a logical error-rate reduction factor — known as Lambda — of 10 per error-correction increment. That figure compares with a demonstrated industry Lambda of approximately 2 cited in D-Wave's earlier roadmap announcement, indicating that its architecture could reach fault-tolerant operation more efficiently than competing approaches.
To support developer adoption of the gate-model platform, D-Wave announced the first error-aware quantum programming simulator, built around the dual-rail technology, along with new development bundles that provide access to both the simulator and gate-model hardware.
The company also added a new board member during the quarter. Kevan P. Krysler, chief financial officer of Carbon Robotics and a former CFO of Pure Storage and former senior vice president of finance at VMware, joined the board and its audit committee, bringing enterprise-software financial experience to D-Wave's governance structure.
Separately, D-Wave was selected to receive a $1.57 million grant from the National Science Foundation through the National Quantum Virtual Laboratory program, providing a new funding source for the company. The company was also named a Leader in the IDC MarketScape's 2026 worldwide quantum-computing vendor assessment, one of only two companies placed in the Leaders category.
The combination of a rapidly growing bookings base, a rising share of production-grade revenue, and peer-reviewed technical results positions D-Wave at an inflection point between research-stage quantum computing and commercial deployment. The company's ability to convert its $40.7 million RPO backlog into recognized revenue while maintaining its gate-model development schedule will determine whether that transition sustains through the remainder of the year.