Lockheed Martin and Xanadu: Redefining quantum machine learning

Machine Learning


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Published February 26, 2026 at 9:10am EST

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Lockheed Martin and Xanadu: Redefining quantum machine learning

February 26, 2026

Lockheed Martin and Xanadu have announced a joint research initiative that could one day give defense and civilian users a decisive computational advantage by advancing the fundamental theory and new applications of quantum machine learning (QML).

This research focuses on generative models, which are machine learning techniques to capture the underlying structure of data and create new realistic examples.

While generative models power many of today’s classical AI advances, their quantum models are at the forefront of today’s quantum learning research. This new collaboration explores whether quantum computers can exploit quantum-native operations that are fundamentally inaccessible to classical machine learning methods.

If quantum-native operations can do things that classical computers cannot do, it could improve the resilience and speed of future sensing, data fusion, and decision-making tools to advantage, and prove a potential advantage for defense systems.

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Lockheed Martin Corporation published this content at the following site: February 26, 2026is solely responsible for the information contained herein. distributed via Public Technology (PUBT)not edited or modified, February 26, 2026 in 14:09 UTC.

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