D‑Wave Unveils Scalable On‑Chip Cryogenic Control for Gate‑Model Qubits

QBTS
January 06, 2026

D‑Wave announced a breakthrough in scalable, on‑chip cryogenic control of gate‑model qubits, the first of its kind for the company and a significant step toward commercially viable universal quantum computers.

The technology, originally developed for D‑Wave’s annealing systems, is now applied to fluxonium qubits. By multiplexing digital‑to‑analog converters, the system reduces the wiring required to control thousands of qubits to just 200 bias lines, shrinking the cryogenic footprint while preserving qubit fidelity.

This milestone tackles the wiring and cryogenic infrastructure bottleneck that has limited the scaling of superconducting gate‑model processors. With the new control scheme, D‑Wave can build larger, more reliable processors without the prohibitive increase in physical size and complexity that has hampered other platforms.

The breakthrough is part of D‑Wave’s 5‑ to 10‑year roadmap for error‑corrected gate‑model systems and strengthens its dual‑technology strategy, which combines proven annealing solutions with next‑generation universal quantum computing. Dr. Trevor Lanting, Chief Development Officer, said the milestone “positions D‑Wave to deliver the industry’s first truly scalable, commercial‑grade gate‑model system.”

While the announcement does not immediately affect revenue, it signals a critical technical advance that could broaden the company’s product portfolio and enhance its long‑term competitive edge. D‑Wave’s Q3 2025 revenue rose 100% to $3.7 million, and the company’s stock has surged more than 200% over the past year, trading near $31 with an all‑time high of $44.78 on Oct 15 2025.

D‑Wave will present its roadmap at the Qubits 2026 conference on Jan 27‑28 in Boca Raton, Florida, where it will discuss the implications of the new control scheme for future system scaling and error‑correction milestones.

The company’s dual‑technology approach gives it a unique position in the quantum market, allowing it to serve both optimization customers with annealing systems and broader‑purpose quantum computing customers with gate‑model processors. The new on‑chip control capability is a key enabler for that strategy, reducing the cost and complexity of scaling to thousands of qubits.

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