From the 1 of 7 linked papers with an AI index.
1 citations · 1 across the 2 of their papers we have counts for
7 papers
Fast two-dimensional tensor-network contraction via subspace iteration
Yining Zhang, Philippe Corboz
The paper proposes a subspace-iteration CTMRG method that replaces large SVDs with smaller ones using QR-based projectors, greatly speeding up iPEPS tensor-network contractions and…
Accelerating two-dimensional tensor network contractions using QR decompositions
Yining Zhang, Qi Yang, Philippe Corboz
Infinite projected entangled-pair states (iPEPS) provide a powerful tool for studying strongly correlated systems directly in the thermodynamic limit. A core component of the algor…
Accelerating two-dimensional tensor network optimization by preconditioning
Xing-Yu Zhang, Qi Yang, Philippe Corboz +2
We revisit gradient-based optimization for infinite projected entangled pair states (iPEPS), a tensor network ansatz for simulating many-body quantum systems. This approach is hind…
Topological and Trivial Valence-Bond Orders in Higher-Spin Kitaev Models
Xing-Yu Zhang, Qi Yang, Philippe Corboz +2
We investigate the quantum phases of higher-spin Kitaev models using tensor network methods. Our results reveal distinct bond-ordered phases for spin-1, spin-, and sp…
Efficient iPEPS Simulation on the Honeycomb Lattice via QR-based CTMRG
Qi Yang, Philippe Corboz
We develop a QR-based corner transfer matrix renormalization group (CTMRG) framework for contracting infinite projected entangled-pair states (iPEPS) on honeycomb lattices. Our met…
Effective dimensional reduction of complex systems based on tensor networks
Wout Merbis, Madelon Geurts, Clélia de Mulatier +1
The exact treatment of Markovian models of complex systems requires knowledge of probability distributions exponentially large in the number of components . Mean-field approxima…