Knowledge Base
Expert insights on quantum computing cost optimization, FinOps, and hybrid compute strategies. Built by engineers for engineers.
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Picking the Right Compute Backend for Optimization in 2025
Map the classical, quantum cloud, and hybrid backends available today and when each one fits into a modern optimization workflow.
Vehicle Routing Problem (VRP) - Computational Complexity and Quantum Solutions
Deep dive into VRP optimization: why it's computationally hard, what makes it NP-hard, and how quantum computing can provide advantages for large-scale routing problems.
Supply Chain Routing Optimization - Multi-Objective Complexity and Quantum Solutions
Comprehensive guide to supply chain routing optimization: why it's computationally hard, multi-objective complexity, and how quantum computing can provide advantages for large-scale distribution networks.
Production Line Balancing Optimization - Energy Efficiency and Quantum Solutions
Comprehensive guide to production line balancing: why it's computationally hard, energy optimization challenges, and how quantum computing can provide advantages for large-scale manufacturing optimization.
Demand Forecast Optimization - ML Constraints and Quantum Solutions
Demand forecasting in practice: combinatorial search, rolling-origin validation, and sample-efficient hyperparameter tuning. Evidence-driven hybrid (classical + quantum) exploration without over-claiming.
Shift Scheduling Optimization - Computational Complexity and Quantum Solutions
Deep dive into shift scheduling problems: why they're computationally hard, constraint complexity, and how quantum computing can provide advantages for large-scale workforce optimization.
QuantFenix Open - Complete Overview
QuantFenix Open is a CLI/SDK to run optimization workloads across multiple compute backends with budget controls and policy-based backend selection.
Knapsack and Portfolio Optimization - Computational Challenges and Quantum Solutions
Comprehensive guide to Knapsack problems and portfolio optimization: why they're NP-hard, computational complexity, and how quantum computing can provide advantages for large-scale optimization.
Why QuantFenix: Born from the ashes of old-school compute
QuantFenix automatically selects the most cost-effective backend across classical + quantum for your optimization problems - without burning your budget.
Energy Grid Load Balancing - Real-Time Optimization and Quantum Solutions
Comprehensive guide to energy grid load balancing: why it's computationally hard, real-time optimization challenges, and how quantum computing can provide advantages for large-scale grid management.