D-Wave Quantum Inc. announced today, January 27, 2026, significant advances across both its annealing platform and gate model quantum computing platform, solidifying its unique position in the space. The company reports an impressive 314% increase in usage of its D-Wave Advantage2 system over the past year. This signals increased demand for annealing technology, along with an accelerated roadmap for gate model systems, with first deliveries scheduled for this year. New hybrid solver capabilities also allow customers to directly integrate machine learning into quantum optimization workflows. “These advances extend D-Wave’s leadership through a dual-platform strategy in quantum computing,” said Dr. Trevor Lanting, D-Wave’s chief development officer, suggesting a comprehensive approach to meeting diverse computational needs.
D-Wave Advantage2 system usage increased by 314%
D-Wave Quantum Inc. is driving demand for annealing quantum computing. This significant growth indicates a mature market eager to move beyond classical computing power and explore the potential of quantum solutions to complex problems. In addition to this, usage of D-Wave’s Stride hybrid solver (previously a nonlinear program solver) has increased by 114% in just six months, showing a clear trend towards a hybrid quantum-classical approach. These numbers, revealed at the Qubits 2026 conference, highlight the company’s position as a major player in the rapidly growing quantum field. D-Wave further enhances its offering with new tools designed to provide quantum scientists with unprecedented insight into quantum mechanics.
Innovations such as multicolor annealing and fast reverse annealing enable more precise qubit control, allowing researchers to study the evolution of quantum states and prototype new algorithms. said Trevor Lanting, Chief Development Officer at D-Wave. The company’s recently acquired company, Quantum Circuits, Inc., is accelerating development of its gate model platform and plans to release its first system in 2026. D-Wave claims it currently has all three core technologies needed for a scalable, error-correctable superconducting gate model system.
Stride hybrid solver integrates machine learning models
D-Wave is enhancing quantum optimization workflows by enabling the direct integration of machine learning models within the Stride hybrid solver, previously known as the nonlinear program solver. This advancement allows users to go beyond purely quantum approaches and leverage the strengths of both classical and quantum computing for a wider range of applications. Specifically, the Stride solver now supports “surrogate modeling.” It is a technology that allows machine learning models to be incorporated directly into the optimization process, and has proven beneficial in areas such as predictive maintenance and advertising campaign optimization. The move reflects a growing trend toward hybrid quantum-classical algorithms, recognizing that near-term quantum computers can excel at certain tasks when combined with classical computing power. D-Wave believes the hire “reflects the growing demand for our technology to solve computationally complex problems, often faster and better than traditional-only approaches.”
Additionally, D-Wave pushes the boundaries of quantum control with new features such as multicolor annealing and fast reverse annealing, providing researchers with greater precision and insight into quantum mechanics. Dr.
Gate model technology advances with the acquisition of quantum circuits
D-Wave Quantum Inc. is strengthening its position in the fast-growing quantum computing space through strategic acquisitions and an accelerated development roadmap focused on gate model systems. Uniquely positioned in both annealing and gate model platforms, the company recently acquired Quantum Circuits, Inc. This is a move aimed at speeding up the development of scalable, error-correctable quantum computers. With this acquisition, D-Wave will deliver key technologies such as high-fidelity, error-detecting dual-rail qubits, which could reduce the number of physical qubits needed for logic operations by an order of magnitude.
Furthermore, the integration of local cryogenic control and multichip superconducting packaging is expected to greatly simplify system expansion by minimizing I/O control lines, which can be found in detail in a new white paper. D-Wave plans to leverage these integrated capabilities to deliver its first gate model system in 2026, strengthening its “dual platform strategy for quantum computing,” according to Dr. D-Wave.
“These advances further extend D-Wave’s leadership, combining the proven effectiveness of annealing in today’s quantum computing systems and software with accelerated innovation in hybrid and gated model technologies,” said Trevor Lanting, D-Wave’s chief development officer. The company emphasizes that it has all three core technologies needed for an enhanced error-corrected superconducting gate model system. This means a robust cryogenic platform with advanced qubits, local cryogenic control, and years of proven uptime to ensure long-term success in a rapidly evolving quantum environment.
These advances extend D-Wave’s leadership through a dual-platform strategy in quantum computing, combining the proven effectiveness of today’s quantum computing systems and software annealing with accelerated innovation in hybrid and gated model technologies.
Dr. Trevor Lanting, D-Wave Chief Development Officer
Dual-rail qubit enables scalable error correction
D-Wave Quantum is paving the way to practical quantum computing by focusing on error correction, a key hurdle in building stable and reliable quantum computers. The company’s advances are focused on “high-fidelity, error-detecting dual-rail qubits,” which are a major step forward in minimizing the number of physical qubits required for each logical qubit, potentially reducing requirements by up to an order of magnitude. This innovation directly addresses the challenge of scaling quantum systems, as error correction typically requires a large overhead of physical qubits to protect the information.
Beyond dual-rail qubits, the company has developed “local cryogenic control and multichip superconducting packaging” designed to significantly reduce the number of input and output control lines required for scaling. Recent documents show that number has decreased by orders of magnitude. said Trevor Lanting, Chief Development Officer at D-Wave. These developments are not merely theoretical. D-Wave plans to release its first gate model system in 2026, backed by a “robust cryogenic platform with years of proven uptime” to ensure commercial-grade reliability. Our commitment to a dual-platform approach of annealing and gate models represents a comprehensive strategy to meet the evolving demands of quantum computing applications.
