Quantum computing at work with industry leaders

How leading companies are building quantum applications with Xanadu, from jet engines to semiconductors.

Customer stories

Results from our partnerships

Rolls-Royce

Jet engine airflow simulations

With Riverlane, Xanadu optimized Rolls-Royce's PennyLane programs with the Catalyst compiler, reducing prototyping runtimes by up to 1000-fold in some instances, from weeks to less than an hour.

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This has been a hugely successful collaboration, which has significantly advanced our quantum applications capability.

Leigh LapworthRolls-Royce Fellow in Computational Science

Mitsubishi Chemical

Semiconductor manufacturing

A new quantum simulation technique for EUV lithography, targeting fewer than 500 qubits for a model system, establishes one of the first concrete industrial use cases for quantum computing in semiconductors.

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The results demonstrate promising approaches to modelling the complex radiation-driven processes that limit lithographic resolution.

Qi GaoSenior Chief Scientist, Mitsubishi Chemical Corporation

FCAT

Quantum methods for real-world data

The Fidelity Center for Applied Technology and Xanadu adapted the Hidden Subgroup Problem so quantum computers can find approximate patterns in noisy, imperfect data. The research and code are openly available.

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This work begins to explore how quantum approaches can be adapted to operate in realistic conditions.

Michael DascalVP Quantum Technology, Fidelity Center for Applied Technology

Volkswagen

Battery materials

A multiyear research program to improve quantum algorithms for simulating battery materials. Its first article estimated the resources needed to simulate a realistic cathode material, dilithium iron silicate.

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We are excited to push the boundaries of material simulation and build on top of the foundational research we have done so far with Xanadu’s quantum algorithms team.

Dr. Arne-Christian VoigtFuture Research, Volkswagen AG

Toyota

Materials for quantum sensing

With Toyota Research Institute of North America, Xanadu combines quantum embedding theory with optimized algorithms to simulate spin defects in 2D materials for next-generation quantum sensors.

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Understanding the physics of spin defects is crucial for advancing quantum sensing technology.

Chen LingSenior Research Manager, Toyota Motor North America

Lockheed Martin

Quantum machine learning

A joint research initiative on generative models, exploring Fourier-based quantum operations for applications where data is scarce, such as experiment design in defense, finance and pharmaceuticals.

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This collaboration with Xanadu pushes the frontiers of QML and deepens our understanding of how future quantum systems may support national security and advanced technology development.

Dani CougerQuantum Technologies Lead, Lockheed Martin