Classiq, INGL and IonQ Test Quantum Optimization for Natural Gas Networks

Insider Brief

• Classiq and Israel Natural Gas Lines (INGL) researched quantum optimization for natural gas transmission planning, including execution of a reduced problem on IonQ’s Forte-1 quantum processor.
• The hybrid quantum-classical workflow searched pressure configurations while accounting for supplier pressure, pipe characteristics, minimum customer pressure and other network constraints.
• Simulator testing identified a maximum-throughput valid operating point consistent with classical reference solutions, while Forte-1 produced physically valid candidate points close to the classical optimum.

PRESS RELEASE — Classiq and Israel Natural Gas Lines Ltd. (INGL) announced results from research applying quantum optimization to natural gas transmission planning, including execution of a reduced version of the problem on the IonQ Forte-1 quantum computer.

The collaboration focused on a familiar challenge for pipeline operators: moving gas from suppliers to customers while staying within limits for pressure, flow direction and gas balance across the network.

As networks grow and operating conditions become more complex, the number of possible pressure and flow configurations can increase rapidly. The research explored whether quantum optimization could help identify promising scenarios more systematically, giving engineers a stronger starting point for detailed review.