Mobility
Vehicle Charging
Growing demand for electric mobility combined with energy production through wind and solar makes electric-grid management more and more challenging for utilities.
So-called smart grids aim to optimize demand, supply and flex storage to lower peak demand and stabilize the grid match demand and supply.
Smart grid management requires solving hard combinatorial optimization problems: minimizing peak-demand and balancing demand-supply, through scheduling of vehicle discharging under availability and technical constraints.
A recent paper reviews various problem formulations from the perspective of the grid-operator, end-user and aggregator.
PASQAL in collaboration with EDF formulated the problem as a graph model solved through quantum.
Such graph problems can be natively implemented through the analog mode of our neutral atoms quantum processor, which makes them a prime candidate for quantum advantage in the very near-term.

Quantum in Real Life

EDF
"Since 2018, we have been collaborating with Pasqal on material simulation and combinatorial optimization algorithms. Bringing together our experts and the experts from Pasqal has unquestionably been the cornerstone of our partnership, and it represents the sole means, in our view, to harness the industrial potential offered by Rydberg atoms Quantum Computers."
Joseph MIKAEL
Head of Quantum Computation and Quantum Information Projects at EDF France
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