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Qblox opens US office in Boston to boost quantum sales

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October 30, 2026 by Ivy Delaney

Qblox formalized its expansion into the US market on March 20, 2025, with the creation of Qblox Inc. and a new office in Boston, Massachusetts. The company intends the location to be a hub for sales, customer support and strategic partnerships within North America’s growing quantum computing sector. “North America is a key area in quantum innovation, and establishing a strong presence here allows us to better serve our customers and build long-lasting collaborations,” said Niels Bultink, CEO of Qblox. Gregg Carman will lead Qblox Inc. as General Manager, bringing experience in commercializing quantum technology.

Qblox Inc. Establishes Boston Operations for North American Expansion

Gregg Carman’s appointment signals a deliberate focus on translating Qblox’s advanced quantum control stack technology into accessible solutions for North American customers and partners. This leadership prioritizes customer experience as Qblox expands its footprint in a rapidly evolving field. The company’s decision to locate Qblox Inc. “A warm welcome to Qblox, a new member of our growing quantum community in the Boston area,” said Will Oliver, Henry Ellis Warren Professor at MIT and Director for Quantum Engineering.

Oliver anticipates collaboration with Qblox and connections to researchers within the Center for Quantum Engineering at MIT and the wider community. Qblox intends the Boston location to provide dedicated support to its expanding North American customer base, ensuring access to its hardware and software solutions for precise quantum processor control.

North America is a key area in quantum innovation, and establishing a strong presence here allows us to better serve our customers and build long-lasting collaborations.

Niels Bultink, CEO of Qblox
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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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