Mphasis QOptiDecision
Quantum enhanced optimization solution for decision intelligence
In every enterprise, decisions are made under uncertainty - allocating resources, planning schedules, optimizing routes, or balancing risk and reward. As operations grow and constraints multiply, these problems become exponentially complex, often pushing classical optimization to its limits.
Mphasis QOptiDecision brings the next leap forward with Quantum-Enhanced Optimization - combining quantum principles with advanced classical methods to solve large-scale, multi-objective problems faster and more effectively. Our hybrid quantum–classical and quantum-inspired frameworks integrate seamlessly with enterprise decision systems, improving solution quality and speed.
Mphasis Approach to Quantum Optimization
Our approach to quantum optimization ensures:
Mphasis QOptiDecision offers a phased engagement model that meets organizations where they are and accelerates their journey toward quantum-enhanced optimization.
Optimization readiness & maturity assessment
A comprehensive evaluation and assessment of organization’s current optimization landscape—solvers, models, data flows, and decision processes. This helps identify maturity gaps, technical readiness, and areas where quantum acceleration can deliver meaningful impact.
Use case discovery & prioritization
Collaborative workshops uncover, assess, and prioritize high-impact optimization challenges based on business value, complexity, and data readiness. The outcome is a prioritized roadmap of quantum-applicable optimization opportunities.
Platform strategy and architecture design
Consulting in selecting suitable Quantum Computing-as-a-Service (QCaaS) or quantum-inspired platforms and defining a hybrid quantum-classical architecture aligned with enterprise technology ecosystems. This stage includes feasibility analysis and proof-of-concept design to ensure practical alignment with enterprise systems.
Solution development
Design and implementation of quantum-enhanced optimization workflows, benchmarked against classical approaches to validate performance gains in efficiency, scalability, and accuracy.
Mphasis QOptiDecision has a wide range of applications across industries, and has had demonstrated success in the following areas:
Hybrid Advantage: Combines quantum and classical algorithms for real-world performance.
Smarter Decisions: Embeds domain intelligence and self-tuning parameters to ensure robust, high-quality solutions across industries.
Faster Insights: Reduces computation time for large-scale optimization problems.
Accurate Results: Optimization workflow that progressively refines the search toward feasible and high-quality solutions.