Maximize value within budget constraints for investments, procurement, or resource allocation decisions
Knapsack and Portfolio Optimization problems require selecting the optimal combination of items or investments to maximize value while staying within budget constraints:
We run both classic baseline and hybrid quantum approaches in parallel to find the optimal solution
Proven dynamic programming and branch-and-bound algorithms
Fast, reliable solutions using classical optimization methods. Excellent for smaller instances and when you need guaranteed optimality.
Quantum-inspired algorithms for complex, large-scale problems
Advanced algorithms that can handle complex constraints and large problem sizes. Often finds better solutions for complex portfolios.
Indicative ranges based on real customer implementations
Targets set in pilot; typical ranges shown in benchmarks
Improved value-to-cost ratio with dual-canary optimization