Xanadu, Lockheed Martin Partner on Quantum ML
Quantum computing firm Xanadu and aerospace company Lockheed Martin have launched a joint research initiative to advance quantum machine learning. The partnership aims to develop new hybrid quantum-classical techniques for pattern extraction from complex datasets, with applications in finance and other industries.
The collaboration will zero in on generative models, aiming to leverage quantum mechanics to create new, realistic data from sparse datasets—a significant challenge for energy-intensive classical AI. This research will explore Fourier-based operations that are inaccessible to classical computers, potentially unlocking new methods for designing complex experiments in fields like finance and defense. Leading the initiative are Xanadu's founder and CEO, Christian Weedbrook, and Lockheed Martin's Quantum Technologies Lead, Dani Couger. Weedbrook emphasized the goal is to rethink the very foundations of how quantum computers learn, while Couger noted the push to understand how future quantum systems can support national security. Toronto-based Xanadu, founded in 2016, develops both quantum hardware and software, notably the open-source library PennyLane, which is widely used for quantum machine learning. Their approach is centered on photonic quantum computing, using particles of light as qubits, which offers advantages like room-temperature operation and scalability through networking modules. Lockheed Martin has been actively incorporating AI and machine learning into hundreds of its projects and internal operations through its AI Center (LAIC). This partnership with Xanadu follows other quantum-focused collaborations, including with PsiQuantum and the CUbit Quantum Initiative at the University of Colorado Boulder, signaling a deep investment in quantum technologies for aerospace and defense applications.
