This white paper explains how Altair and G2Q collaborate to enable practical hybrid quantum-classical workflows for industrial optimization problems. It outlines how quantum-inspired algorithms and near-term quantum hardware can be integrated with classical HPC and simulation workflows to solve complex combinatorial challenges. The paper describes use cases such as logistics optimization, portfolio optimization, and materials research, emphasizing how hybrid approaches deliver value today despite hardware limitations. It also details how Altair’s software ecosystem orchestrates data preparation, solver execution, and result interpretation while ensuring scalability, security, and enterprise readiness.

Join for free to read