REVIEW 1 minor 2 cited by
PEPSKit.jl: A Julia package for projected entangled-pair state simulations
T0 review · 0 major / 1 minor · reviewed 2026-06-30 · grok-4.3
Pith's one-line read PEPSKit.jl supplies high-level algorithms for infinite projected entangled-pair state simulations of two-dimensional quantum systems with symmetry support.
desk verdict PEPSKit.jl is a straightforward Julia port of iPEPS with added non-Abelian and fermionic symmetry support that fills a niche for users already in that ecosystem. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The PEPSKit.jl package, which implements the high-level iPEPS algorithms that incorporate support for Abelian, non-Abelian, and fermionic symmetries.
What would settle it
Running a benchmark on a standard two-dimensional model such as the Heisenberg antiferromagnet, then comparing the package output to results from an independent established method, would test whether the implementations match known values.
Extended reading notes
Core claim
The authors state that PEPSKit.jl builds on tensor computations to deliver high-level algorithms for iPEPS simulations. These algorithms support both Abelian and non-Abelian symmetries together with fermionic systems and enable ground-state, time-evolution, and finite-temperature simulations in systems with different physical symmetries and lattice geometries. The features are shown through examples and technical benchmarks.
Load-bearing premise
The high-level algorithms are implemented correctly and produce accurate results for the claimed symmetries and system types.
Editorial extensions
If this is right
- Ground-state properties of two-dimensional models with symmetries become computable at scale.
- Time evolution of fermionic systems on lattices can be followed without manual symmetry handling.
- Finite-temperature observables are accessible for a range of lattice geometries.
- Users gain the ability to switch between different symmetry sectors within the same simulation framework.
Reading between the lines
- The package structure may allow straightforward addition of new lattice types or interaction terms by other developers.
- Researchers could use it to scan phase diagrams across symmetry classes that were previously hard to access uniformly.
- Integration with existing Julia tensor libraries could reduce setup time for hybrid classical-quantum studies.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript presents PEPSKit.jl, a Julia package for simulating two-dimensional quantum many-body systems with infinite projected entangled-pair states (iPEPS). It builds on TensorKit.jl to provide high-level algorithms supporting Abelian and non-Abelian symmetries as well as fermionic systems, covering ground-state, time-evolution, and finite-temperature simulations on various lattice geometries, with these capabilities illustrated through examples and technical benchmarks.
Significance. If the package implements the described features correctly and remains publicly available with reproducible examples, the work supplies a useful open-source tool in the Julia ecosystem for tensor-network studies of strongly correlated systems. The emphasis on symmetry support and the provision of reproducible code and benchmarks constitute a clear strength for the condensed-matter simulation community.
minor comments (1)
- The abstract contains the string "PEPSKit$.$jl"; this appears to be a LaTeX formatting artifact and should be rendered consistently as PEPSKit.jl throughout the manuscript.
Simulated Author's Rebuttal
We thank the referee for their positive review of the manuscript, their recognition of the package features (including symmetry support for Abelian/non-Abelian and fermionic systems, as well as ground-state, time-evolution, and finite-temperature algorithms), and for recommending acceptance. No major comments were raised that require addressing.
Circularity Check
No significant circularity
full rationale
The manuscript is a software package announcement describing PEPSKit.jl for iPEPS simulations. It contains no derivations, equations, predictions, fitted parameters, or load-bearing self-citations that reduce to inputs by construction. Claims rest on the public availability of the package and reproducibility of provided examples/benchmarks, which are externally verifiable without circular logic. This is a standard, non-circular software description.
Assumptions & free parameters
Cite this review
Pith. "Pith review of PEPSKit.jl: A Julia package for projected entangled-pair state simulations." pith.science (2026). https://pith.science/paper/6RUOETN7
@misc{pith2026260519960,
author = {Pith},
title = {Pith review of: PEPSKit.jl: A Julia package for projected entangled-pair state simulations},
year = {2026},
howpublished = {\url{https://pith.science/paper/6RUOETN7}},
note = {Machine review of arXiv:2605.19960}
}
abstract
We present PEPSKit$.$jl, a Julia package for simulating two-dimensional quantum many-body systems with infinite projected entangled-pair states (iPEPS). PEPSKit$.$jl builds on the TensorKit$.$jl package for tensor computations and provides high-level algorithms for iPEPS simulations that support both Abelian and non-Abelian symmetries, as well as fermionic systems. This work gives an overview of the main package features, which include support for ground-state, time-evolution, and finite-temperature simulations in systems with different physical symmetries and lattice geometries. These capabilities are illustrated through various examples and technical benchmarks.
Figures
Figures from the paper (5 more)
Forward citations
Cited by 2 Pith papers
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Robust spin pseudogap and spin-charge separation in the $\sigma t$-$J$ model
The σt-J model is found to keep its spin pseudogap and spin-sector BKT transition almost doping-independent, which a slave-fermion mean-field theory with a PSG-selected ansatz explains as spin-charge separation.
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Implicit differentiation of tensor network algorithms
PEPS energy gradients can be computed by implicit differentiation of characteristic equations for the contraction environment, avoiding unstable subroutine backpropagation and reducing asymptotic cost.
Reference graph
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Reviewed June 30, 2026 · model on record in the stance chip above.
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