They will evaluate the performance and technical challenges of a solver that combines quantum computing and HPC for linear equations in thermal-fluid analysis.
They are examining algorithms and implementation methods, using problems such as the one‑dimensional advection equation, to apply gate‑model quantum computers to automotive CAE and CFD.
IonQ and Synopsys incorporated quantum algorithms into pre-processing for engineering simulations, reducing end-to-end runtimes by 5.9–14.6%.
Quemix has begun offering a new version of Quloud that implements joint research results with Idemitsu Kosan. It computes ion conduction under electric fields while tracking changes in charge.
They jointly developed two foundational algorithms targeting large-matrix CAE computations to reduce quantum processing workload and improve calculation accuracy.
A quantum–classical hybrid technique to reconstruct continuous functions encoded in quantum states from principal Fourier coefficients has been published in a peer-reviewed journal.