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QuantWare Raises $178M for 10,000-Qubit Industrial Quantum Processors

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May 5, 2026 by Ivy Delaney

QuantWare has secured $178 million in a Series B funding round, the largest private investment to date for a company focused on building industrial quantum processors. The funding will accelerate development of the company’s VIO-40K architecture, a processor designed to reach 10,000 qubits, a scale 100 times greater than current technology. Central to this expansion is KiloFab, a new fabrication facility intended to increase QuantWare’s production capacity by 20 times, addressing a critical challenge in scaling quantum computing. “The round follows our announcement of VIO-40K…and funds the next phase of our mission: delivering the world’s most powerful quantum processors at scale,” QuantWare stated, emphasizing a commitment to innovation and industrial-level production of quantum computing components.

$178 Million Series B Funds Hyperscale Processor Development

The VIO-40K architecture is designed to achieve 10,000 qubits, a significant increase over current technology. QuantWare distinguishes itself as the only firm currently designing, fabricating, and integrating modular quantum processors on an open architecture at an industrial level; their VIO technology aims to maximize compute power per Watt. The company stated that “VIO is available to the entire industry, enabling the global quantum supply chain to scale,” emphasizing their commitment to an open ecosystem. New investors including Intel Capital, IQT, and ETF Partners join existing backers in this latest round. The company’s ambitions extend beyond processor design to delivering functional quantum processors at a scale previously unattainable, and they anticipate broad industry impact from their open architecture approach.

The establishment of KiloFab represents a concrete step toward resolving a critical bottleneck in quantum computing: manufacturing. QuantWare anticipates a 20-fold increase in production with this facility. The company’s ability to both develop the architecture and manufacture the processors internally provides a significant advantage in controlling the supply chain and accelerating development timelines. This investment will fund the next phase of QuantWare’s mission, solidifying its position as a key player in the rapidly evolving quantum field.

We are proud to announce our $178M (€152M) Series B, the largest private round raised by a dedicated industrial quantum processor company to date.

QuantWare
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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