BASIQ: Quantum Computing Enhances Battery Innovation

The Challenge

Improving battery performance is critical: from powering electric vehicles to storing renewable energy, next-generation batteries are a cornerstone of a sustainable, electrified future.

A key challenge in the battery industry is accurately simulating the behavior of an entire battery cell, including interactions between electrodes, electrolytes, and interfaces. These systems involve complex, multiscale processes—spanning quantum to macroscopic levels—that are difficult to capture all at once. Classical computers struggle to handle this complexity due to the enormous computational power required. This limits our ability to predict performance, degradation, and safety under real-world conditions.

Our Approach

planqc is developing a suite of quantum algorithms designed to efficiently simulate entire battery cells. Unlike classical methods currently used in the industry, our approach leverages the principles of quantum mechanics to achieve exponential problem compression. This enables us to tackle large-scale, highly complex simulations using only a small number of qubits—making full battery cell modeling scalable. Our solutions are optimized for prototype quantum hardware platforms, including those based on neutral atoms, where planqc is a pioneer.

The Potential

By enabling full battery cell simulations, Planqc’s quantum algorithms can accelerate the discovery of better materials, optimize battery performance, and reduce costly trial-and-error in development. This leads to more efficient, durable, and sustainable batteries, while significantly shortening innovation cycles. As quantum simulation becomes more accessible, it could transform the industry by unlocking designs previously too complex to model, paving the way for next-generation energy storage solutions.