79 citations · 514 across the 32 of their papers we have counts for
Showing 2022 · quant-phShow all
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quant-ph2022★ 18 cited
Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection
Jack Y. Araz, Michael Spannowsky
The Hamiltonian of an isolated quantum mechanical system determines its dynamics and physical behaviour. This study investigates the possibility of learning and utilising a system'…
quant-ph2022★ 13 cited
Towards a Quantum Simulation of Nonlinear Sigma Models with a Topological Term
Jack Y. Araz, Sebastian Schenk, Michael Spannowsky
We determine the mass gap of a two-dimensional nonlinear sigma model augmented with a topological -term using tensor network and digital quantum algorithms. As proof of p…
quant-ph2022★ 34 cited
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data
Jack Y. Araz, Michael Spannowsky
Tensor Networks (TN) are approximations of high-dimensional tensors designed to represent locally entangled quantum many-body systems efficiently. This study provides a comprehensi…