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This study validates the practical application of hybrid quantum-classical workflows for optimizing complex energy infrastructure, specifically using QAOA on trapped-ion hardware to solve non-linear gas flow constraints. The results demonstrate that near-term quantum processors can generate physically valid operating points that bracket classical optima without replacing existing engineering tools like SIMONE.

Sources coveringQuantum Computing Report, prnewswire.com, arXiv, Quantum Zeitgeist

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Classiq, INGL, and IonQ Advance Quantum Optimization for Natural Gas Transmission Networks

Quantum Computing ReportSeptember 24, 20262 min read

Classiq Technologies and Israel Natural Gas Lines (INGL) have published research on using hybrid quantum-classical optimization for natural gas pipeline networks. Their study, detailed on arXiv (arXiv:2609.00825), demonstrates a Quantum Approximate Optimization Algorithm (QAOA) workflow to maximize gas throughput, validated on the IonQ Forte-1 quantum computer. This approach, which complements existing engineering tools, shows how quantum processors can address complex energy infrastructure challenges. The post Classiq, INGL, and IonQ Advance Quantum Optimization for Natural Gas Transmission Networks appeared first on Quantum Computing Report.

Quantum software company Classiq Technologies and state-owned utility Israel Natural Gas Lines Ltd. (INGL) have published joint research applying hybrid quantum-classical optimization to natural gas pipeline delivery. Published on arXiv (arXiv:2609.00825),…

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