NP-hardness of the discretized gas-network optimization problem

Establish whether the combinatorial integer program obtained by discretizing the natural-gas transmission-network throughput maximization problem under the Panhandle-B hydraulic equation is NP-hard.

Background

The paper formulates maximum-throughput operation of a natural-gas transmission network as an optimization over discretized squared nodal pressures. The formulation incorporates the nonlinear Panhandle-B pipe-flow relation, flow conservation at intermediate junctions, directed-flow consistency, and minimum customer-pressure constraints.

The authors state that the continuous problem is nonlinear and non-convex and that discretization produces a combinatorial integer program whose state space grows exponentially with the number of decision nodes and pressure-resolution bits. The computational complexity classification of this resulting integer program is not established in the paper; its NP-hardness is presented only as a conjecture supported by cited complexity literature.

References

After discretization the problem becomes a combinatorial integer program conjectured to be NP-hard.

Quantum-Based Optimization of Gas Throughput in Natural Gas Transmission Networks Under Hydraulic Constraints Using QAOA  (2609.00825 - Ishay et al., 1 Sep 2026) in Section V, “Scale Analysis” (Section label: sec:complexity)