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Literature Library

Curated resources that shape QuartumSE experiment design, statistical tooling, and product direction.

QuartumSE Publications

  • Strategic Review (Oct 30, 2025): Summarises programme progress and gaps. Read the full report.
  • Project Bible: Captures the mission, vision, and long-term research agenda. Consult the source.

Classical Shadows & Measurement Theory

  • Aaronson, S., et al. Classical Shadows for Quantum Tomography. (2020). — Motivates the QuartumSE focus on shot-efficient estimation. See how it informs the Shadows theory guide.
  • Huang, H.-Y., Kueng, R., & Preskill, J. Predicting many properties of a quantum system from very few measurements. (2020). — Provides the theoretical underpinnings for SSR metrics used throughout the experiment tracker.

Error Mitigation & Calibration

  • Nation, P. et al. Scalable Mitiq. (2023). — Inspires our automated mitigation pipeline; compare with the MEM v1 runbook.
  • Kandala, A. et al. Error mitigation for short-depth quantum circuits. (2019). — Guides calibration strategies referenced in the runtime budgeting checklist.

Workflow Automation & Provenance

  • Schelter, S. et al. Managing ML Pipelines. (2022). — Reinforces the provenance practices baked into our automated pipeline guide.
  • Spinellis, D. Code Quality: The Open Source Perspective. (2006). — Influences the quality gates in the run tests how-to.

Contribute References

  1. Submit proposed additions via pull request that updates this page.
  2. Reference where the work influences QuartumSE (tutorial, experiment plan, or community process).
  3. Announce the addition in the community hub to encourage discussion.