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Quantum Computer Helps Ford Find Better EV Battery Materials


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a Ford battery module

Quantum-based computational chemistry will play "a vital role" in finding better battery materials, Ford researchers say.

Credit: Ford

Quantum researchers at Ford modeled crucial electric vehicle battery materials using a quantum computer. The team calculated the ground-state energy of LiCoO2, a material that could be potentially used in lithium-ion batteries, using the variational quantum eigensolver (VQE) algorithm to simulate gas-phase models. VQE uses a hybrid quantum-classical approach with the quantum computer employed to solve the parts of the molecular simulation that benefit most from its unique attributes.

Researchers said that quantum-based computational chemistry on the kinds of quantum computers that will be available in the near-term will play "a vital role to find potential materials that can enhance the battery performance and robustness."

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