Dr. Joseph Buck Now Leads Infleqtion Quantum Efforts

After 23 years building quantum, optical, and photonic systems, Dr. Joseph Buck now leads development of Infleqtion’s scalable neutral-atom quantum computer, named Sqale. Buck joined Infleqtion on July 27, 2026, transitioning from his role as a senior fellow at Lockheed Martin and bringing a record of deploying technologies into fielded products. He has authored over 60 technical publications and maintains an extensive patent portfolio, indicating a history of innovation beyond theoretical research. “The era of proving quantum science is over. Now we build,” said Matthew Kinsella, Chief Executive Officer of Infleqtion, anticipating Buck will scale Sqale toward utility and fault tolerance. Infleqtion has already delivered a 100-qubit system to the United Kingdom’s National Quantum Computing Centre and plans further deployments in 2027.

Dr. Joseph Buck Leads Sqale Development at Infleqtion

Dr. Joseph Buck’s appointment to senior vice president of quantum computing systems at Infleqtion signals a shift toward practical quantum computer construction, following over two decades spent developing relevant technologies. This expertise extends beyond theoretical work; Buck has demonstrably translated research into deployed products, including commercialized polarization gratings and advanced optics manufacturing techniques, a crucial capability for scaling quantum systems. He joins Infleqtion after serving as a senior fellow at the Lockheed Martin Advanced Technology Center. Infleqtion intends for Buck to spearhead development of Sqale, the company’s scalable neutral-atom quantum computer, building on existing systems already deployed with international partners. Buck acknowledges the current focus has moved beyond fundamental research. “Most quantum programs are still waiting on the physics. Infleqtion is past that,” he stated, adding, “I have spent decades building systems that either hold up in the field or do not ship. The architecture works. My job is to build it at scale.” This emphasis on engineering and deployment, coupled with a portfolio of over 60 technical publications and an extensive patent record, positions Infleqtion to move beyond demonstration projects and deliver functional quantum computing resources.
Most quantum programs are still waiting on the physics. Infleqtion is past that. Dr. Joseph Buck, Senior Vice President of Quantum Computing Systems at Infleqtion
Infleqtion is moving beyond foundational research and into system deployment, evidenced by recent deliveries of functional quantum computing hardware to international partners. This record of tangible results sets Infleqtion apart from many competitors still focused on overcoming fundamental physics challenges. To spearhead this scaling effort, Dr. Buck arrives from Lockheed Martin’s Advanced Technology Center, bringing with him 23 years of experience constructing quantum, optical, and photonic systems for diverse clients. His background includes doctoral research at the California Institute of Technology focused on trapping single neutral atoms within high-finesse optical cavities, the principle underpinning Infleqtion’s neutral-atom quantum computing approach. Buck himself acknowledges the shift in focus within the field, stating, “The architecture works.”
I have spent decades building systems that either hold up in the field or do not ship.
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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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