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Energy
pilot

ExxonMobil Optimizes Energy Grid with Quantum Computing

ExxonMobil

Energy grid optimization and logistics routing

Overview

ExxonMobil is collaborating with IBM Quantum to develop quantum algorithms for energy grid optimization, natural resource allocation, and logistics routing. The partnership explores how quantum computing can optimize complex combinatorial problems in the energy sector.

Key applications include optimizing ship routing for liquefied natural gas transport and managing distributed energy resources across power grids.

Vendor

IBM Quantum

Quantum Modality

Superconducting

Benefits

Optimized routing reduces fuel consumption and emissions. Grid optimization improves renewable energy integration and reduces operational costs.

ROI Metrics

Projected 5-10% cost reduction in LNG shipping operations. Grid optimization could save $50M+ annually at scale.

Architecture

Hybrid quantum-classical optimization using Qiskit Optimization modules with classical solvers for constraint handling and verification.

Migration Notes

Model logistics problems as QUBO instances. Start with cloud quantum access. Use hybrid VQE/QAOA approaches for near-term advantage.

Security Considerations

Critical infrastructure data requires quantum-safe encryption. Grid operation data is sensitive and must be protected.

Implementation Roadmap

Phase 1: Problem modeling (complete). Phase 2: Small-scale optimization pilots (ongoing). Phase 3: Production deployment (2027+).

energy
optimization
logistics
grid

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