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Entangle: Uncovering Collaboration in the GitHub Quantum Software Ecosystem

Angel Luis Lara-Martín, Ricardo Pérez-Castillo

arXiv:2609.28349v1cs.SEcs.IR

TL;DR

The public quantum software ecosystem on GitHub is fragmented, leaving collaboration and expertise difficult to assess. Entangle analyzes that activity through an integrated collaboration graph and reports a vendor-centered, highly modular ecosystem with many cross-organization connectors and concentrated maintenance.

  • Problem

    The GitHub quantum software ecosystem is fragmented, making collaboration, expertise, and the actors connecting communities difficult to understand.

    Source: §I · p. 1

  • Method

    Entangle integrates repositories, contributors, and organizations into a collaboration graph, using enrichment and network analysis to produce ecosystem indicators.

    Source: §I · p. 1, §III · p. 2

  • Results

    The analysis finds a productive but structurally fragile ecosystem concentrated around four major vendors, with 2,387 bridge contributors and 81.7% of analyzed repositories having a bus factor of 1.

    Source: §IV · p. 3, §VI · p. 4

  • Takeaways & Limitations

    Organizations can use Entangle’s indicators to identify single-maintainer projects and weak connections, then monitor whether resilience improves after interventions.

    Source: §VI · p. 4

    Entangle observes only public GitHub activity, so private commercial development may be absent from organization- and ecosystem-level conclusions.

    Source: §V · p. 4

Abstract

from arXiv · show

Quantum computing is moving from research laboratories towards early commercialization and broader socio-technical adoption, supported by sustained hardware progress and a rapidly expanding open-source software ecosystem. This momentum is especially visible on GitHub, where many quantum and hybrid software projects coexist around frameworks such as Qiskit, Cirq, PennyLane and Amazon Braket. However, this ecosystem remains fragmented, making it difficult to understand who shapes quantum software, where expertise is concentrated, how collaboration flows across organizations and disciplines, and which actors connect otherwise separated communities. This paper presents Entangle, a data-driven analysis of the open-source quantum computing ecosystem on GitHub. Starting from 71 domain keywords, Entangle identifies more than 1,500 quantum repositories, 27,000 contributors and 400 organizations, revealing an ecosystem strongly organized around four leading industrial vendors, but also supported by 2,387 contributors who connect projects, organizations and domains. These findings provide practical evidence for responsible quantum innovation by making visible patterns of influence, dependency, collaboration and knowledge transfer. They also offer actionable indicators for strategic decisions on investment, hiring, partnerships, ecosystem stewardship and capacity building. More broadly, Entangle shows how open-source intelligence can support a more transparent, measurable and governable quantum software ecosystem, helping align technical development with responsible innovation, public--private coordination and long-term sustainability.

I. INTRODUCTION

Quantum software activity on GitHub is growing, but the ecosystem remains fragmented and difficult to understand as a whole. Entangle combines repository, contributor, and organization data to make collaboration and ecosystem structure measurable.

I. INTRODUCTION

  • The ecosystem has grown alongside quantum computing’s transition toward early commercialization, with GitHub projects organized around frameworks including Qiskit, Cirq, PennyLane, and Amazon Braket.The introduction notes that progress increasingly depends on an open-source software ecosystem as well as hardware.Source: §I · p. 1
  • Fragmented activity across loosely connected repositories makes it difficult to see who shapes quantum software, where expertise is concentrated, and how collaboration links organizations and disciplines.The paper frames this lack of visibility as a governance problem for transparency, accountability, and ecosystem stewardship.Source: §I · p. 1
  • Entangle integrates repositories, contributors, and organizations into a collaboration graph, identifying more than 1,500 quantum-related repositories, 27,000 contributors, and 400 organizations.It starts from 71 domain keywords and reports 2,387 cross-cutting contributors.Source: §I · p. 1

II. BACKGROUND AND RELATED WORK

Prior ecosystem-mining tools and studies address distinct parts of GitHub activity, but do not provide a unified view of repository-based collaboration among quantum software developers. Entangle positions itself as an observatory integrating ecosystem data, social-network analysis, and exploration.

II. BACKGROUND AND RELATED WORK

  • GHTorrent and GH Archive mirror GitHub’s public activity for reproducible empirical studies but provide raw data, while Libraries.io and Open Source Insights map artefact relationships, not people.Source: §II · p. 1
  • Quantum-domain work maps stakeholders or mines Stack Overflow, whereas Entangle analyzes GitHub development activity to build a contributor collaboration graph and governance-relevant indicators.The paper positions Entangle as complementary to forum-question and package-dependency analysis.Source: §II · p. 2
  • Table I compares Entangle with representative ecosystem-mining tools and studies by whether their coverage is full, partial, or absent.The passage provides the table’s scope, not specific cell values.Source: Table I · p. 2

III. ENTANGLE SUITE

Entangle is an end-to-end observatory that turns GitHub activity into linked ecosystem data and collaboration indicators. It combines keyword-based repository discovery, entity enrichment, network analysis, and interactive views.

III. ENTANGLE SUITE

  • Repository discovery begins with 71 quantum keywords and segments searches by star range and creation year to bypass the Search API’s 1,000-result cap.Repository enrichment gathers languages, topics, contributors, releases, and activity; user and organization records are derived from enriched repositories.Source: §III · p. 2
  • Entangle computes user expertise and organization focus scores, then classifies contributors into six disciplines using five profile and repository signals.Those signals are bio, company, organizations, repository topics, and languages.Source: §III · p. 2
  • Network analysis builds a heterogeneous collaboration graph and computes communities, betweenness centrality, bridge contributors, and repository bus factor.It uses NetworkX and Louvain communities, betweenness centrality, and bus factor.Source: §III · p. 2
  • Heuristics mitigate false positives from generic search seeds, while sibling organizations and bots receive special handling in bridge analysis.Sibling organizations are not merged, and contributors shared only between them are not counted as bridges; bots are excluded from bridge computation but can be shown or hidden in the visualization.Source: §III · p. 2
  • Entangle presents the ecosystem through a cross-filterable 2D dashboard, an immersive 3D universe, and a natural-language conversational agent.The 3D view distributes roughly 28,000 organizations, repositories, and contributors in space.Source: §III · p. 2, Figure 1 · p. 2

IV. ECOSYSTEM INSIGHTS

Entangle’s GitHub snapshot shows a large, vendor-centered ecosystem with substantial cross-organization connections and a pronounced concentration of maintenance activity. Its organization and discipline profiles also distinguish industrial from academic communities.

IV. ECOSYSTEM INSIGHTS

  • The snapshot integrates over 1,500 quantum repositories, 27,000 contributors, and 400 organizations, averaging roughly 18 contributors per repository.The paper characterizes participation as active but unevenly distributed.Source: §IV · p. 2
  • Python is the primary language in 42.05% of repositories, with Jupyter notebooks second and C++ and Julia used for high-performance simulators.The passage associates notebooks with experimentation and education and says Python is sustained by the major SDKs.Source: §IV · pp. 2–3
  • Four vendors anchor the ecosystem: Qiskit (IBM), Cirq (Google), PennyLane (Xanadu), and Braket (Amazon), recurring as the highest-centrality nodes.The quantum_focus_score distinguishes organizations dedicated to quantum computing from those with tangential involvement.Source: §IV · p. 3, Figure 2 · p. 3
  • Quantum_software and dev_tooling together account for more than half of contributors, while quantum_hardware is the smallest and most specialized discipline.The paper relates the hardware community’s specialization to the entry barrier of physical quantum hardware.Source: §IV · p. 3
  • The collaboration graph contains 30,970 nodes and 101,190 edges, with 752 Louvain communities and modularity 0.96.Communities mostly group one organization with its repositories and direct contributors; Fig. 2 provides an analytical view of leading ecosystem entities and language distribution.Source: §IV · p. 3, Figure 2 · p. 3
  • Industrial clusters around Qiskit/IBM, Cirq/Google, and Braket/Amazon have frequent releases, thorough documentation, and many external collaborators, while academic clusters have fewer stars and more notebooks and associated publications.The paper describes these as two distinct community profiles.Source: §IV · p. 3
  • 2,387 bridge contributors are active across two or more independent organizations and largely coincide with the graph’s highest-betweenness nodes.They connect vendors, academic groups, tool-chains, and application domains; Fig. 3 depicts organization clusters and central bridge contributors.Source: §IV · p. 3, Figure 3 · p. 3
  • 81.7% of analyzed repositories have a bus factor of 1, indicating maintenance activity concentrated in a single key contributor.The paper cautions that this does not imply immediate project failure; it signals dependency risk if that contributor becomes inactive.Source: §IV · p. 3

V. IMPLICATIONS FOR RESPONSIBLE QUANTUM INNOVATION

Entangle’s repository indicators can inform responsible-innovation stewardship, from supporting vulnerable projects to strengthening weak links and underrepresented communities. Their interpretation is bounded by discovery, snapshot, and data-coverage limitations.

V. IMPLICATIONS FOR RESPONSIBLE QUANTUM INNOVATION

  • Funders, maintainers, and institutions can use Entangle to target single-maintainer projects, weak cross-organizational links, and underrepresented disciplines or communities.The paper frames these as stewardship interventions informed by ecosystem evidence.Source: §V · pp. 3–4
  • Recomputing indicators after interventions can monitor changes in concentration, participation breadth, and resilience, creating a feedback loop between evidence and responsible action.The paper connects this approach to anticipation, stakeholder engagement, and equitable capacity building.Source: §V · p. 4
  • Keyword discovery can produce false positives, so repository counts are estimates; the analysis is also a snapshot of public GitHub activity, excluding some private development.Longitudinal tracking is needed to assess structural stability, and proprietary repositories may limit organization- and ecosystem-level completeness.Source: §V · p. 4
  • Bus factor is a heuristic proxy for maintenance risk, and bridge detection depends on heuristic sibling-organization and bot-detection rules.The paper characterizes these rules as conservative but still heuristic.Source: §V · p. 4

VI. CONCLUSIONS AND FUTURE WORK

Entangle maps the public GitHub quantum software ecosystem through a collaboration graph and reports a productive but structurally fragile ecosystem. The paper proposes extending this snapshot toward a living observatory and testing its indicators with stakeholders.

VI. CONCLUSIONS AND FUTURE WORK

  • Four major vendors anchor a highly modular ecosystem, while 2,387 bridge contributors connect organizations and domains and 81.7% of analyzed repositories have bus factor 1.The paper describes this as a preliminary empirical analysis.Source: §VI · p. 4
  • Entangle integrates repositories, contributors, and organizations into a collaboration graph that produces indicators of influence, dependency, collaboration, and knowledge transfer.The tool-supported approach is presented as the paper’s main contribution.Source: §VI · p. 4
  • Organizations can examine public repository portfolios and collaboration networks to identify single-maintainer projects, weak cross-team connections, and concentrated expertise, then monitor resilience after interventions.The paper presents these indicators as signals for governance, community building, and sustainable capacity development.Source: §VI · p. 4
  • Future work proposes longitudinal repository and community analysis, dependency-drift tracking, adaptive keyword expansion, and stronger community detection such as Leiden.The authors also plan to co-design decision workflows with stakeholders and evaluate whether indicators are understandable, actionable, and useful.Source: §VI · p. 4
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