Tensor Networks and Current Applications by Multiverse Computing and Bundesdruckerei

This talk will introduce the audience to tensor networks; a powerful mathematical framework originally developed in quantum physics and now increasingly applied to real-world computational challenges. After a short introduction to Multiverse Computing and Bundesdruckerei, we will outline the fundamentals of tensor networks and their advantages in handling complex, high-dimensional data. We will then explore current applications developed jointly and independently by our teams, including synthetic data generation from privacy-preserving datasets, blockchain network analysis for fraud detection, and AI model compression to enable efficient compression of large AI models. The session will highlight not only the technical insights but also the practical value of these methods in industry and government contexts.