From the 2 of 8 linked papers with an AI index.
2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Phase transitions in coupled Ising chains and SO()-symmetric spin chains
Yohei Fuji, Sylvain Capponi, Lukas Devos +1
The paper studies quantum phase transitions in a one‑dimensional system made of multiple coupled Ising chains, showing that for two or three chains the transition is continuous (Is…
PEPSKit.jl: A Julia package for projected entangled-pair state simulations
Paul Brehmer, Lander Burgelman, Zheng-Yuan Yue +3
We present PEPSKitjl, a Julia package for simulating two-dimensional quantum many-body systems with infinite projected entangled-pair states (iPEPS). PEPSKitjl builds on the…
TensorKit.jl: A Julia package for large-scale tensor computations, with a hint of category theory
Lukas Devos, Jutho Haegeman
TensorKitjl is a Julia-based software package for tensor computations, especially focusing on tensors with internal symmetries. This paper introduces the design philosophy, core…