Project #1: NEASQC Project - 10mn
Hard optimisation problems for smart-charging of electric vehicles
We present a case study of quantum optimization for smart-charging of electric vehicles. Tailored implementations of the Quantum Approximate Optimization Algorithm (QAOA) have been developed for this problem, and tested numerically with classical resources either by emulation of Pasqal's Rydberg atom based quantum device or using Atos Quantum Learning Machine. In some cases, quantum algorithms exhibit the same approximation ratios than conventional approximation algorithms, or improve them.
voir le replay By Joseph Mikael, Head of the Quantum Computing and Quantum Information Project, EDF