English

GraphStateVis: Interactive Visual Analysis of Qubit Graph States and their Stabilizer Groups

Quantum Physics 2021-11-23 v2

Abstract

Fathoming out quantum state space is a challenging endeavor due to its exponentially growing dimensionality. At the expense of being bound in its expressiveness, the discrete and finite subspace of graph states is easier to investigate via a pictorial framework accompanied with a theoretical toolkit from the stabilizer formalism. Analyzing hand-drawn graphs is a tedious and time-consuming task and imposes limitations to the problem sizes that can be addressed. Similarly, algorithmic studies using adjacency matrices alone lack the benefit of a visual representation of the states. We argue that applying visual analytics to investigate graph states can be advantageous. To this end, we introduce GraphStateVis, a web-based application for the visual analysis of qubit graph states and their stabilizer groups. Our tool facilitates the interactive construction of a graph through multiple components supported by linking and brushing. The user can explore graph-state-specific properties, including the Pauli-weight distribution of its stabilizer operators and noise thresholds for entanglement criteria. We propose a use case in the context of near-term quantum algorithms to illustrate the capabilities of our prototype. We provide access to GraphStateVis as an open-source project and invite the broader quantum computing and engineering communities to take advantage of this tool and further boost its development.

Keywords

Cite

@article{arxiv.2105.12752,
  title  = {GraphStateVis: Interactive Visual Analysis of Qubit Graph States and their Stabilizer Groups},
  author = {Matthias Miller and Daniel Miller},
  journal= {arXiv preprint arXiv:2105.12752},
  year   = {2021}
}

Comments

published version, only minor changes, 6+1 pages, 6 figures, https://github.com/graphstatevis (Source Code), https://graphstatevis.github.io/app (Deployed Version) This work has been selected as a Best Paper for the 2021 IEEE Quantum Week conference

R2 v1 2026-06-24T02:29:58.805Z