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CEO CFO C-Level Consulting with QAOA - Quantum Approximate Optimization Algorithms
Executive Summary
QAOA - Decision intelligence beyond classical predictability
Modern management, investment and governance decisions do not fail due to a lack of data or computing power, but due to exponential complexity. Even a manageable number of binary decisions generate decision spaces whose size structurally overwhelms any classic analysis, simulation or heuristic. The bottleneck is not technological - it is mathematical.
This is precisely where the Quantum Approximate Optimization Algorithm (QAOA) comes in and fundamentally shifts the boundaries of what is considered to be decision-capable.
While classic systems can reduce decision spaces sequentially or only explore partial areas, QAOA allows the physically parallel calculation of complete decision spaces. Decision dimensions in the order of two to the power of three hundred are stabilized in seconds. Even decision spaces of two to the power of six hundred are no obstacle conceptually - the optimum is also calculated within a very short time.
The decisive difference:
These spaces are not searched, not simulated and not approximated heuristically. They are calculated as a whole.
This fundamentally changes the logic of strategic decisions:
Run times no longer grow proportionally to the number of possible options
Decisions are calculated under all real constraints
The result is deterministically explainable, auditable and reproducible
Intuition, experience and political negotiation are supplemented - or replaced - by mathematical decision-making ability
QAOA is not a faster optimization process, but a change in the physical level on which decisions are calculated. It combines classic control, modeling and governance with quantum mechanical parallelism - and thus makes decision-making spaces manageable that were previously considered fundamentally unsolvable.
For CEOs, CFOs, supervisory boards and public decision-makers, this means a paradigm shift:
The focus is no longer on which option seems plausible, but on which decision is objectively optimal under all real-world restrictions.
QAOA therefore does not mark evolutionary progress, but a quantum leap in decision-making intelligence.
Sascha Rissel is an entrepreneur, strategic advisor, and technology visionary with more than 20 years of experience in the development, scaling, and optimization of complex business models. He combines deep business expertise with a strong technological understanding, particularly in the areas of artificial intelligence, algorithmic decision models, and system optimization.
Through initiatives such as StratePlan and DeepAnT, he actively drives the advancement of data-driven ROI calculation, intelligent project prioritization, and predictive analytics. His focus is on measurable impact, robust decision foundations, and translating highly complex mathematical models into practical, deployable solutions for business, public administration, and industry.
Sascha Rissel stands for a clear principle: consistently aligning strategy, technology, and impact.