Author

Marko J. Rančić

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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

Preprint Jul 2026

Simulating the Dicke Model on Qubit-Based and hybrid Qubit-Boson-Based Quantum Computers

A variational framework for investigating the finite-size Dicke model on both fully qubit-based (digital) and hybrid qubit boson based (digital-analogue) quantum computing platforms is developed and reproduces the characteristic critical behavior of the Dicke model in the appropriate large-spin limit.

A. Babu, Seongjin Ahn, Jing Sun et al. · 0 citations