Allstate and IBM Deploy Hybrid Quantum-Classical Workflows to Optimize Insurance Risk Portfolios - Quantum Computing Report

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Allstate and IBM Deploy Hybrid Quantum-Classical Workflows to Optimize Insurance Risk Portfolios

Insurance provider Allstate and technology developer IBM have demonstrated that quantum computing can optimize risk portfolios and resolve severe computational challenges within the underwriting sector. Published as a pre-print in mid-2026, the joint investigation addresses the chance-constrained knapsack problem, an notoriously difficult class of combinatorial optimization tasks in computer science. The operational objective mirrors the primary core task of insurance underwriting: identifying the most profitable combination of policies to pack into a corporate portfolio without exceeding a maximum allowable risk and loss limit. While standard knapsack problems are difficult for classical systems to solve at scale, the problem becomes exponentially harder when individual policy variables represent unpredictable, highly correlated real-world risks.