Quantum Applications, Deep Tech

Davidson and Strangeworks will test quantum solutions for defense

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August 13, 2026 by Ivy Delaney

Davidson and Strangeworks will publicly debut a collaboration focused on applying quantum optimization to defense challenges at the 2026 Space and Missile Defense Symposium in Huntsville, Alabama. The two firms plan a proof-of-concept initiative to improve defense logistics, resource allocation, and operational readiness through hybrid quantum solutions. “We’re eager to apply emerging technology to real mission needs,” said Nathan Klose, Davidson Labs VP, as the companies aim to rigorously compare computational approaches and accelerate defense decision-making. This partnership bolsters Huntsville’s growing quantum defense ecosystem, with Davidson as a founding member of the Southeastern Quantum Collaborative.

Davidson and Strangeworks Target Defense Mission-Planning Challenges

Davidson’s early investment in quantum computing is now focused on practical defense applications through a new collaboration with Strangeworks. This focused approach distinguishes the effort from broader quantum computing initiatives, concentrating on specific operational challenges within the defense sector. Hurley emphasized the importance of grounding quantum solutions in real-world constraints, stating, “Davidson understands the operational realities behind some of defense’s hardest optimization problems.” Following the symposium, the companies will identify specific defense use cases and apply their combined expertise to develop solutions prioritizing security and practical deployment.

Strangeworks will leverage its Aura platform and diverse computing resources to deliver operational outcomes, while Davidson contributes its deep understanding of mission requirements. The ultimate goal, as stated by both firms, is to create faster, higher-quality decision support systems for defense applications, focusing on solutions that produce measurable value.

Davidson understands the operational realities behind some of defense’s hardest optimization problems.

Will Hurley, Founder and CEO at Strangeworks
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Quantum Computing quantum optimization Strangeworks
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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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