Cookie Consent by Free Privacy Policy Generator
Search
Close this search box.
Search
Close this search box.

Daimler AG Plugs Into IBM’s Quantum Computer to Boost Electric Vehicles

Quantum computers are making electric vehicles that can drive farther and charge faster. (Credit: Wikimedia/Ludo Vic)

IBM’s quantum computer is helping Daimler AG, maker of Mercedes-Benz, produce better electric vehicles.

According to a research blog post from IBM, the main problem with electric vehicles is the capacity and speed-of-charging of their batteries. Batteries don’t charge fast enough and they don’t give electric vehicles the range that manufacturers would like. IBM thinks there’s a quantum solution.

“A quantum computing breakthrough by researchers at IBM and Daimler AG, the parent company of  Mercedes-Benz, could help tackle this challenge,” researcher Jeannette Garcia writes. “We used a quantum computer to model the dipole moment of three lithium-containing molecules, which brings us one step closer to the next-generation lithium sulfur (Li-S) batteries that would be more powerful, longer lasting and cheaper than today’s widely used lithium ion batteries.”

The molecular world is very complex and, therefore, hard to simulate on classical computers. However, the team used a quantum computer to help with what might be a breakthrough simulation.

The chemistry of a lithium-sulfur battery. During discharge, elemental sulfur is reduced into sulfur salts containing chains of vary-ing lengths, ultimately resulting in lithium sulfide production. During charge, the chemistry is reversed. The mechanism for lithium sulfide production is proposed to occur through a two-electron process.

The researchers first evaluated the energies and dipole moments of all four molecules as we varied the atomic distance between the different atoms in the molecule (breaking the chemical bonds) using Qiskit. The IBM Q Valencia device then calculated the dipole moments of LiH (and simulated the other three) to understand the electronic distribution in a molecule across its different atoms as bonds are broken.

“This is crucial – for instance, in the case of LiH, the dipole changes as the nuclei are separated, making the molecule change from being polar (ionic) to neutral,” Garcia writes.

Another advantage of using a quantum computer is these devices seem better at exploring the quantum weirdness of properties, such as quantum entanglement.

She writes, “Also, while the molecular bonds are stretched, the molecular system must be described by a highly “entangled” state; entanglement is a property of quantum mechanics, according to which when one particle changes its state, so does its entangled ‘partner,’ simultaneously.”

The researcher explained that quantum computers are not yet better than classical computers. Outside disturbances can knock the fragile qubits out of quantum states that are needed to run meaningful computations. So, they verified the results using a few methods.

“To make sure our calculations on the hardware were accurate, we also performed them on a classical computer using the IBM quantum simulator,” Garcia writes. “Then, we ran these calculations on IBM Q Valencia, and compared the results. Despite working with noisy qubits, we were still able to extract sufficiently precise results.”

The work also suggests that the power of quantum computers to simulate the very small, the very complex and the very weird might help out in other fields. 

“Simulating molecules is extremely difficult but modeling them precisely is crucial to discover new drugs and materials,” Garcia writes.

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Jake Vikoren

Jake Vikoren

Company Speaker

Deep Prasad

Deep Prasad

Company Speaker

Araceli Venegas

Araceli Venegas

Company Speaker

Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

Share this article:

Relevant

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Jake Vikoren

Jake Vikoren

Company Speaker

Deep Prasad

Deep Prasad

Company Speaker

Araceli Venegas

Araceli Venegas

Company Speaker

Keep track of everything going on in the Quantum Technology Market.

In one place.

Related Articles

Explore our intelligence solutions

Join Our Newsletter