Quantum computing for smart grid

Abstract

Smart grids are under a new kind of computational pressure. As renewable penetration, decentralization and digitalization deepen, design and scheduling problems turn combinatorial, modelling becomes multiphysics across timescales from nanoseconds to years and fault diagnostics must work from very few labelled examples. These shifts stretch the classical simulation, optimization and control workflows used at the converter and grid levels. In this Review, we ask where quantum computing could ease those bottlenecks. We treat the two levels together, because they expose the same family of difficulties and match the same family of quantum approaches — simulation, optimization, machine learning an..