Lockheed Martin has announced a collaboration with Xanadu, a notable player in quantum computing, to advance the foundational theory and practical applications of Quantum Machine Learning (QML). This partnership aims to explore how quantum computers can enhance generative models—vital machine learning techniques that have applications in artificial intelligence. The focus will be on leveraging Fourier-based operations which are beyond the reach of classical computational methods. This research could lead to significant advancements in sectors such as defense, finance, and pharmaceutical experiment design.
“This work is about rethinking the foundations of how quantum computers can learn,” stated Christian Weedbrook, Founder and CEO of Xanadu. He emphasized the potential of revisiting core quantum primitives to uncover entirely new methods for representing and processing data. The collaboration is significant in the context of Lockheed Martin’s ongoing exploration of quantum technologies that hold the promise of transforming computation and sensing capabilities.
The partnership comes at a time when quantum machine learning research is gaining momentum. Generative models, which serve as the engine for many modern artificial intelligence advancements—including large language models—often struggle with data scarcity and high energy demands. Lockheed Martin’s involvement in this project is designed to enhance understanding of how future quantum systems might bolster national security and technological innovation.
Founded in 2016, Xanadu is at the forefront of developing quantum computing software and hardware. One of its key contributions is the development of PennyLane, an open-source software library aimed at facilitating quantum computing and application development. The collaboration with Lockheed Martin is expected to build on this foundation, moving from theoretical possibilities to practical applications across various industries.
Central to the collaboration is the investigation of how quantum computers can utilize Fourier-based operations for generative models. These operations are not only computationally intensive but also inaccessible to conventional machine learning approaches. Through this initiative, Xanadu and Lockheed Martin aim to unlock new applications in diverse sectors, particularly those where traditional methods fall short.
Lockheed Martin’s domain expertise could prove invaluable in navigating the complexities of quantum machine learning, particularly in aligning it with national security imperatives and advanced technology development. The initiative seeks to overcome the inherent limitations of classical machine learning, especially in environments where data is scarce. By leveraging quantum computation’s unique capabilities, the collaboration aims to pave the way for innovative solutions that could redefine various industries.
“At Lockheed Martin, we are actively exploring quantum technologies that could transform computation and sensing,” said Dani Couger, Quantum Technologies Lead for Lockheed Martin.
This partnership marks a significant step forward in the quest to harness the power of quantum computing for practical, real-world applications. As advancements in quantum machine learning continue to unfold, Lockheed Martin and Xanadu’s efforts may not only reshape the landscape of artificial intelligence but also contribute to critical national security objectives and broader technological advancements.
