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From the 2 of 12 linked papers with an AI index.

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12 papers

quant-ph2026

On the origin of finite entanglement scaling

Luke Hodgkiss, Laurens Lootens, Atsushi Ueda +2

The paper identifies the actual perturbations introduced by matrix product state approximations of critical quantum systems, showing they differ from conformal field theory predict…

quant-ph2026

Implicit differentiation of tensor network algorithms

Lander Burgelman, Anna Francuz, Paul Brehmer +4

The paper applies implicit differentiation to the gradient computation in projected entangled-pair state (PEPS) optimization, reducing computational cost and eliminating numerical…

hep-th2026

Symmetric mass generation of interacting chiral fermions on a one-dimensional lattice without fermion doubling

V. A. Zakharov, Atsushi Ueda, Frank Verstraete +1

Symmetric mass generation is the interaction-induced opening of a fermion gap without spontaneous symmetry breaking. The anomaly-free 3-4-5-0 model of Wang and Wen provides a minim…

hep-th2026

Perfect Particle Transmission through Duality Defects

Atsushi Ueda, Vic Vander Linden, Laurens Lootens +3

We study wavepackets that propagate across (a) topological interfaces in quantum spin systems exhibiting non-invertible symmetries and (b) duality defects coupling dual theories. W…

math-ph2026

Intertwining Markov Processes via Matrix Product Operators

Rouven Frassek, Jan de Gier, Jimin Li +1

Duality transformations reveal unexpected equivalences between seemingly distinct models. We introduce an out-of-equilibrium generalisation of matrix product operators to implement…

cond-mat.str-el2026

Global Tensor Network Renormalization for 2D Quantum systems: A new window to probe universal data from thermal transitions

Atsushi Ueda, Sander De Meyer, Adwait Naravane +2

We propose a new tensor network renormalization group (TNR) scheme based on global optimization and introduce a new method for constructing the finite-temperature density matrix of…