From the 2 of 8 linked papers with an AI index.
8 papers
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…
Gapped spinful phases obtained via Gutzwiller projections of Euler states
Thorsten B. Wahl, Lukas Devos, Robert-Jan Slager
Gutzwiller projections of non-interacting chiral topological phases are known to give rise to fractional, topologically ordered chiral phases. Here, we carry out a similar construc…
Quantitative Description of Strongly Correlated Materials by Combining Downfolding Techniques and Tensor Networks
Daan Vrancken, Simon Ganne, Daan Verraes +5
We present a high-accuracy procedure for electronic structure calculations of strongly correlated materials. To address limitations in current electronic structure methods, we empl…