Maximilian Janetschek

Technical Project Lead Aqarios

Exhibition Day 1

11:20 AM From Use Cases to General Optimization Workflow: Introducing Luna and Constraint-Aware Quantum Computing

Companies need to handle growing complexity in decision problems to achieve meaningful solutions. Classical approaches are reaching their limits. Quantum computing is poised to solve these problems at scale; however, its practical application requires software capable of efficiently translating real-world business problems into quantum models. 

Aqarios addresses this challenge with Luna, a unified platform for classical and quantum optimization. Luna enables users to seamlessly switch between algorithms and quantum backends to find the optimal solution for their specific decision problem. To manage highly complex problems, we have developed FlexQAOA, a hybrid quantum algorithm that dynamically encodes decision constraints directly into quantum subroutines. Unlike standard QAOA methods that are limited to pure unconstrained problem formulations, FlexQAOA's adaptive encoding achieves superior solution quality and faster convergence. With benchmarks that demonstrate a 100x speedup of FlexQAOA over conventional QAOA methods and support for massive-scale simulations, this session will illustrate why Luna is the practical entry point for applying quantum computing to your most critical business challenges. 
With the integration of FlexQAOA into Luna, users can leverage efficient end-to-end quantum optimization pipelines for any decision problem. The future of optimization starts here. 

Check out the incredible speaker line-up to see who will be joining Maximilian.

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