D-Wave Quantum Inc. announced today, January 27, 2026, significant advancements across both its annealing and gate-model quantum computing platforms, solidifying its unique position in the field. The company reports a remarkable 314% increase in usage of its D-Wave Advantage2 systems over the past year, demonstrating growing demand for its annealing technology alongside an accelerated roadmap for gate-model systems slated for initial availability this year. New hybrid solver capabilities will also allow customers to integrate machine learning directly into quantum optimization workflows. “These advances extend D-Wave’s leadership through our dual-platform strategy for quantum computing,” said Dr. Trevor Lanting, chief development officer at D-Wave, signaling a comprehensive approach to meet diverse computational needs.
314% Growth in D-Wave Advantage2 System Usage
Demand for annealing quantum computing is surging, with D-Wave Quantum Inc. This substantial growth indicates a maturing market eager to explore the potential of quantum solutions for complex problems, exceeding classical computing capabilities. Alongside this, usage of D-Wave’s Stride hybrid solver—formerly the nonlinear program solver—jumped 114% in just six months, demonstrating a clear trend toward hybrid quantum-classical approaches. These figures, revealed at the Qubits 2026 conference, highlight the company’s position as a key player in the burgeoning quantum landscape. D-Wave is further enhancing its offerings with new tools designed to provide quantum scientists with unprecedented insights into quantum dynamics.
Innovations like multicolor annealing and fast-reverse anneal allow for more precise qubit control, enabling researchers to study quantum state evolution and prototype novel algorithms. Trevor Lanting, chief development officer at D-Wave. The company’s recent acquisition of Quantum Circuits, Inc. is accelerating development of its gate-model platform, with plans to release an initial system in 2026. D-Wave asserts it now possesses all three core technologies needed for scalable, error-corrected superconducting gate-model systems.
Stride Hybrid Solver Integrates Machine Learning Models
D-Wave is enhancing its quantum optimization workflows by enabling direct integration of machine learning models within its Stride hybrid solver, formerly known as the nonlinear program solver. This advancement moves beyond purely quantum approaches, allowing users to leverage the strengths of both classical and quantum computation for a broader range of applications. Specifically, the Stride solver now supports “surrogate modeling,” a technique that allows machine learning models to be incorporated directly into the optimization process, proving beneficial for areas like predictive maintenance and advertising campaign optimization. The move reflects a growing trend towards hybrid quantum-classical algorithms, acknowledging that near-term quantum computers excel at specific tasks when paired with conventional computing power. D-Wave believes this adoption “reflects an increased demand for the Company’s technology to solve computationally complex problems often faster and better than classical-only approaches.”
Furthermore, D-Wave is pushing the boundaries of quantum control with new capabilities like multicolor annealing and fast-reverse anneal, offering researchers greater precision and insight into quantum dynamics. Dr.
Quantum Circuits Acquisition Advances Gate-Model Technology
D-Wave Quantum Inc. is bolstering its position in the burgeoning field of quantum computing through a strategic acquisition and accelerated development roadmap focused on gate-model systems. The company, uniquely positioned with both annealing and gate-model platforms, recently acquired Quantum Circuits, Inc., a move designed to fast-track the creation of scalable, error-corrected quantum computers. This acquisition provides D-Wave with critical technologies, including high-fidelity, error-detecting dual-rail qubits—potentially reducing the number of physical qubits needed for logical operations by an order of magnitude.
Furthermore, the integration of local cryogenic control and multi-chip superconducting packaging promises to dramatically simplify system scaling by minimizing I/O control lines, details of which are available in a new white paper. D-Wave intends to leverage these combined capabilities to deliver an initial gate-model system in 2026, solidifying its “dual-platform strategy for quantum computing,” according to Dr.
Trevor Lanting, chief development officer at D-Wave, who stated, “These advances extend D-Wave’s leadership…combining the proven impact of annealing quantum computing systems and software today with accelerating innovation in hybrid and gate-model technologies.” The company highlights possessing all three core technologies necessary for scaled, error-corrected superconducting gate-model systems: advanced qubits, localized cryogenic control, and robust cryogenic platforms with years of demonstrated uptime, positioning it for long-term success in the rapidly evolving quantum landscape.
These advances extend D-Wave’s leadership through our dual-platform strategy for quantum computing, combining the proven impact of annealing quantum computing systems and software today with accelerating innovation in hybrid and gate-model technologies.
Dr. Trevor Lanting, chief development officer at D-Wave
Dual-Rail Qubits Enable Scalable Error Correction
D-Wave Quantum is pioneering a path towards practical quantum computation by focusing on error correction, a critical hurdle in building stable and reliable quantum computers. The company’s advancements center on “high-fidelity, error-detecting dual-rail qubits,” which represent a significant step forward in minimizing the physical qubit count needed 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 demands a large overhead of physical qubits to protect information.
Beyond dual-rail qubits, the company has developed “local cryogenic control and multi-chip superconducting packaging” designed to drastically reduce the number of input/output control lines needed for scaling—orders of magnitude fewer, according to recent documentation. Trevor Lanting, chief development officer at D-Wave. These developments aren’t solely theoretical; D-Wave anticipates releasing an initial gate-model system in 2026, underpinned by “robust cryogenic platforms with demonstrated uptimes of years” ensuring commercial-grade reliability. This commitment to a dual-platform approach—annealing and gate-model—signals a comprehensive strategy for meeting the evolving demands of quantum computing applications.
