Transport and logistics are replete with complex computational problems that can quickly become totally impractical - from identifying how to efficiently route cargo or passengers across multiple transit modes to updating city-wide transport schedules in response to changing conditions on the ground.

Even the most powerful machine learning algorithms can be quickly overwhelmed by the scale of the problems at hand. Quantum computing has already been deployed on a trial basis for managing traffic flow in Portugal, and optimizing aircraft scheduling. It may even prove useful for the last-mile logistics problem.

Transport and logistics organizations are investing in quantum computing

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We build educational and developer tools that help transport and logistics experts take advantage of the quantum opportunity. And with our application partners we can help deliver custom solutions for your needs - from education to execution on real quantum computers.

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Berkeley Lab
Bleximo
Fermilab
IBM
Imperial College London
NIST
Northwestern University
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USC Viterbi School of Engineering