Can Quantum Battery Research Extend Electric Vehicle Range? IonQ And Hyundai Intend To Find Out

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Senior Analyst, AI & Quantum Computing, Paul Smith-Goodson, IonQ quantum computing and Hyundai Motor Company recently announced a partnership focused on using quantum computing to study lithium compounds and battery chemistry.

Batteries are not only a significant cost component of electric vehicles, but the devices are also an important differentiator for vehicle range in the consumer market. The partnership aims to create an advanced battery chemistry model for quantum computers. Such a model would require an advanced quantum computer equipped with high quality logical qubits and capable of running very deep quantum circuits.

Hyundai believes that quantum chemistry simulation will help discover new ways to improve the next generation of lithium batteries. Hyundai is not alone in that belief. Volkswagen and Daimler-Benz are also experimenting with quantum computing and battery chemistry. During that time frame, Hyundai projects it will sell 560,000 electric vehicles annually and become one of the top three electric vehicle manufacturers by 2025. Quantum computing has made significant progress with chemical simulations over the past five years.

Quantum scientists have demonstrated a similar solution on IonQ’s trapped-ion quantum computer called “problem decomposition.” Instead of needing a quantum computer with thousands of qubits, decomposition reduces the amount of quantum resources needed to simulate large molecular systems while still maintaining the needed accuracy.

 

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Quebec Hydro has licensing rights to the Goodenough Quantum Glass Battery tech. Ilika has some interesting tech on the density front as well. The battery space is so huge. So much R&D in so many directions. I've stuck to REE, which defines motor efficiency & is easy to track.

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