l'industrie
Énergie et services publics
Déverrouillez un potentiel inégalé pour l'optimisation, la gestion des ressources et l'innovation durable. L'informatique quantique promet de transformer radicalement notre manière de capter, distribuer et préserver l'énergie, nous orientant ainsi vers un avenir plus intelligent et plus écologique.
EDF
L'intérêt d'EDF pour l'informatique quantique est né des limites inhérentes aux méthodes de calcul et de codage classiques, en particulier pour relever les défis complexes de la prévision et de l'optimisation de la demande d'énergie.
Pasqal soutient le développement durable
Infographie Quantum for Energy
Scale your Computational Power with Quantum Computing
Quantum for Energy & Utilities
How can quantum computing optimize energy systems?
Quantum computing enables precise grid optimization, accurate demand forecasting, efficient energy storage management, optimal renewable energy integration, and smart distribution network design. The technology can handle the massive complexity of modern energy systems with distributed generation, storage, and dynamic consumption patterns.
What energy challenges can Pasqal’s quantum computers address?
Key applications include power grid load balancing, renewable energy output prediction, energy trading optimization, transmission network planning, battery storage scheduling, smart grid management, and carbon footprint minimization. These problems involve complex optimization with numerous constraints that benefit from quantum approaches.
How does quantum computing support renewable energy integration?
Quantum computers can optimize the intermittent nature of renewable sources by accurately predicting solar and wind generation, coordinating energy storage systems, balancing supply and demand in real-time, and determining optimal placement for new renewable installations based on weather patterns, grid capacity, and economic factors.
Can quantum computing reduce energy costs?
Yes, by optimizing generation dispatch, reducing transmission losses, improving demand response programs, enhancing preventive maintenance scheduling, and enabling more efficient energy trading strategies. Even small percentage improvements in grid efficiency can translate to significant cost savings at utility scale.
Why is quantum computing important for the energy transition?
The transition to sustainable energy requires managing unprecedented complexity: millions of distributed energy resources, real-time balancing of intermittent renewables, coordinated charging of electric vehicles, and optimized storage systems. Quantum computing provides the computational power needed to orchestrate this complexity while minimizing costs and maximizing sustainability.