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Michal A. Sterzel

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Preprint Aug 2026

TT-net: Quantum Inspired Tensor Network Denoising in Conditional GANs

Developed as a workhorse for classical simulations of quantum algorithms and quantum many-body systems, Tensor Network methods have entered the scientific mainstream in quantum physics. Among various types of tensor networks, Tensor Trains (commonly know as Matrix Product States in the quantum computing community) have...

Michal A. Sterzel, Marko J. Rančić · 0 citations

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