By Carolyn Mathas

BASF and PASQAL just announced that they will collaborate to explore how quantum computing will improve complex weather modeling applications used to simulate crop yield and growth stages and predict drift when applying crop protection products. Quantum technology will allow BASF to expand well beyond today’s classical HPC capabilities, prepare for climate change impact and help drive a more sustainable future.

“Weather patterns are governed by complex sets of differential equations, which are challenging to solve even for today’s most powerful high-performance computers (HPC). PASQAL’s proprietary family of quantum methods called Differentiable Quantum Circuits (DQC), promise to find more accurate solutions to these complex equations,” according to Benno Broer, Chief Commercial Officer at PASQAL. “DQC solves a large range of differential equation problems where the key challenge is to parameterize the method for the class of differential equations that are relevant in weather modelling. DQC is a Quantum Neural Network approach with many similarities to classical Physics-Informed Neural Network (PINN) methods and we are implementing them side-by-side with our DQC approach. In such a side-by-side implementation our Quantum Developers learn from the classical PINN implementation, while our classical ML developers learn from the quantum (DQC) implementation.”

PASQAL aims to solve the underlying complex nonlinear differential equations, implementing quantum neural networks on its neutral atom quantum processors. The classical equivalent of this approach—PINNs—is already used broadly by scientists and technology corporations in weather and climate modeling. For example, NVIDIA recently announced a new Earth-2 AI supercomputer for climate prediction, leveraging PINNs.

“The neutral-atoms quantum hardware of PASQAL, when operated in analog-digital computation mode, is the most efficient and noise-robust way of implementing this type of quantum. The combination of many high value problems, a method promising more accurate solutions to those problems, and a chance of early quantum advantage, make PASQAL’s DQC quantum methods a good fit with BASF’s business goals,” added Broer.

For additional information, you can view a press release available on the PASQAL website here.

July 20, 2022