Case Study

Building
the future
of power

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.

01
Overview
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.
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.
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.
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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.
Linkedin
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A recent paper reviews various problem formulations from the perspective of the grid-operator
3years
Such graph problems can be natively implemented through the analog mode of our neutral atoms quantum
2260
Such graph problems can be natively implemented through the analog mode of our neutral atoms quantum

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.

02
Video
Setting new standards
for electric batteries
03
industry relevance

How do we deploy the new standards into concrete applications?

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. 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.

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.

We need science by all means to address the problems of the planet
Professor Dr. Alain Aspect, Nobel Prize Winner Physics, 2022

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. 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.

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