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Xofia
“Beyond the Limits”
Quantum and Classical Information Theoretic Modeling to Understand the Fundamentals of Essential Systems and to Provide Practical Knowledge to Solve Relevant Problems
Xofia develops data-driven and first principle based mathematical models ...
... to understand the essential aspects of a physical and social system, to gain knowledge on how they work and perform, and to design mathematical and computational tools to address hard scientific, engineering, and business challenges around them..
Xofia’s mathematical modeling expertise aims at creating Effective Models for physical and social systems...
...to solve critical scientific, engineering and business problems. Xofia's approach is to combine first-principle and data-driven modeling tools with quantum and classical information resources(models, algorithms and hardware) to overcome the non-trivial complexity of reconciling accuracy, efficiency, robustness and causality simultaneously.
Xofia’s Hybrid Modeling approach leads to the correct coupling of first-principle and data-driven models to overcome the shortcomings that:
First-principle models are highly dependent on deep domain expertise.
First-principle models often focus on accuracy but emphasize less on solution efficiency.
Data-driven models require huge amounts of data for model training.
Data-driven models are often hard to generalize to domains outside of the training data.
Data-driven models often offer limited information on causality relations between input and output.
Xofia's Hybrid Modeling approach achieves the following knowledge benefits:
The solution of a practically relevant problem can be a combination of the models.
One model approach can provide corrections to the other.
One model can be embedded in the other.
The output of one model can serve as input of the other.
The Structure of one model can be drawn from the other.
Xofia insists on Coupling Modeling with Quantum and Classical Computing to maximize solution efficiency of complex models:
We improve computational complexity on both the model and the algorithm level.
We explore quantum computation tools for efficient solutions of learning and data-driven models.
We employ quantum modeling and algorithmic strategies for systems where non-local causality plays crucial roles
We explore multi-scale multi-level modeling tools to improve computational efficiency.
We couple deterministic with stochastic modeling and computation strategies to minimize computational complexity.
Xofia’s resources include a talented multidisciplinary team of scientists and engineers, physical infrastructure to run large-scale high-performance classical and quantum simulations and optimization, and a unique vision on how to deliver futuristic solutions today.
Xofia expects to provide feasible solutions to problems that have significant impact on our society and develop new ways to understand others that we don’t know to exist yet.
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Stop wondering if your project can benefit from the latest advance in the technological frontier. Let us sneak a peek into it and we´ll come forth with a scientific approach that will greatly imporve your business performance.