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20242026
most citedCompressing multivariate functions with tree tensor networks

2 citations · 2 across the 4 of their papers we have counts for

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quant-ph2025

Investigating a Quantum-Inspired Method for Quantum Dynamics

Bo Xiao, Benedikt Kloss, E. Miles Stoudenmire

Building on recent advances in quantum algorithms which measure and reuse qubits and in efficient classical simulation leveraging projective measurements, we extend these framework…

quant-ph2025

Magic of the Well: assessing quantum resources of fluid dynamics data

Antonio Francesco Mello, Mario Collura, E. Miles Stoudenmire +1

We investigate the quantum resource requirements of a dataset generated from simulations of two-dimensional, periodic, incompressible shear flow, aimed at training machine learning…

quant-ph2025

Process Tensor Approaches to Non-Markovian Quantum Dynamics

Jonathan Keeling, E. Miles Stoudenmire, Mari-Carmen Bañuls +1

The paradigm of considering open quantum systems -- i.e. focusing only on the system of interest, and treating the rest of the world as an effective environment -- has proven to be…

quant-ph2025

Control-driven critical fluctuations across quantum trajectories

Haining Pan, Thomas Iadecola, E. M. Stoudenmire +1

Monitored quantum circuits in which entangling unitary dynamics compete with projective local measurements can host measurement-induced phase transitions witnessed by entanglement…

cond-mat.str-el2025

Disentangling Interacting Systems with Fermionic Gaussian Circuits: Application to Quantum Impurity Models

Ang-Kun Wu, Benedikt Kloss, Wladislaw Krinitsin +3

Tensor network quantum states are powerful tools for strongly correlated systems, tailored to capture local correlations such as in ground states with entanglement area laws. When…