D-Wave Quantum Inc. Launches Advanced Cryogenic Packaging Initiative to Scale Quantum Processors to 100,000 Qubits
August 25th, 2025 6:05 PM
By: Newsworthy Staff
D-Wave Quantum Inc. has initiated a strategic development program to enhance cryogenic packaging for quantum processors, leveraging NASA JPL's expertise to achieve scalability up to 100,000 qubits, which is critical for advancing quantum computing performance and commercial viability.

D-Wave Quantum Inc. (NYSE: QBTS), a leader in quantum computing systems, software, and services, has announced a strategic development program to expand its capabilities in cryogenic packaging, designed to advance and scale both gate-model and annealing quantum processors. The initiative underscores the company’s focus on hardware innovation to support its long-term technology roadmap (https://ibn.fm/WU30l). Cryogenic packaging – the housing and interconnection of quantum processor components in extremely low-temperature environments – plays a central role in performance and scalability.
In quantum computing, packaging must not only handle ultra-low temperatures but also be compatible with superconducting bump-bond technology, which is being leveraged from NASA’s Jet Propulsion Laboratory (JPL). This collaboration aims to expand multichip packaging capabilities, manufacturing equipment, and processes, ultimately increasing interconnectivity and scalability for architectures reaching 100,000 qubits. The program targets processor development scalability, addressing one of the key bottlenecks in quantum computing advancement.
The implications of this initiative are significant for the quantum computing industry, as scalable cryogenic packaging is essential for building larger, more powerful quantum processors that can handle complex computations. By improving packaging techniques, D-Wave aims to enhance the reliability and performance of both gate-model and annealing quantum systems, which could accelerate the commercialization of quantum technologies in fields such as optimization, machine learning, and material science. This development aligns with broader efforts to overcome technical hurdles in quantum hardware, making quantum computing more accessible and practical for real-world applications.
Source Statement
This news article relied primarily on a press release disributed by InvestorBrandNetwork (IBN). You can read the source press release here,
