This webinar introduces quantum-accelerated supercomputing approaches that combine traditional HPC resources with quantum computing accelerators for materials science applications. We’ll demonstrate a workflow for studying example problem from material science using hybrid quantum-classical methods, showing how quantum embedding techniques can enable running parts of the atomistic simulations systems using quantum simulators, which then can run on quantum hardware. Participants will learn about the integration of CP2K (classical DFT) with Qiskit-nature (quantum algorithms) through example computational material science workflow.
Karim Elgammal & Yonglei Wang.
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This training is for users who live and work in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 HERE.