QuantumBFS / QuantumBFS/quantum.harness

[challenge]: Automated robust self-testing with certified constants

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accepted autoresearch challenge
Dominant language
Python
Stars
66
Forks
93
PR merge metrics
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Description

Released by

Jie Wang (AMSS, Chinese Academy of Sciences) & Jin-Guo Liu (Hong Kong University of Science and Technology (Guangzhou))

Contact email

cacate0129@gmail.com

Method

Other

Challenge issue

Difficulty: ★★ (rated by Jie Wang)

Background

Self-testing underpins device-independent cryptography, yet every robustness constant in the literature is hand-derived for one Bell inequality at a time (review: arXiv:2307.02551). The ingredients for automation exist: moment-matrix uniqueness at finite hierarchy level, rounding theory (arXiv:2203.02525), and quantitative stability (arXiv:2204.07084, arXiv:2505.22309).

Research objective

A pipeline that takes a Bell functional and outputs a certified statement — any strategy within ε of the optimal value is O(√ε)-close to the reference strategy — with explicit certified constants derived from strong duality + flatness margins, the perturbation lemmas supplied by the stability theory.

Verification plan

  • Success gate: on the catalogue of analytically self-tested inequalities (CHSH, tilted families, CGLMP), the automated constants are valid — never smaller than an adversarially found perturbed strategy allows (validity is attacked, not assumed) — and within a stated factor of the hand-derived ones.
  • Hope signal: valid but 100× weaker constants — the pipeline still covers inequalities with no known analytic constant; tighten iteratively.
  • Pivot signal: adversarial search finds a strategy violating an emitted constant — the duality step is unsound; the gate design makes this loud.

Why this may lead to research output

Certified automation would industrialize DI security proofs: constants that today take a PhD chapter would take a solver run.

References

  1. Tavakoli et al., Semidefinite programming relaxations for quantum correlations, arXiv:2307.02551.
  2. Paddock et al., Rounding near-optimal quantum strategies, arXiv:2203.02525.
  3. de la Salle, Spectral gap and stability for groups and non-local games, arXiv:2204.07084.
  4. Xu et al., Quantitative Tsirelson's theorems, arXiv:2505.22309.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files, tests, or entry points are identified in the issue. Start by reviewing the cited stability, rounding, and semidefinite-programming references, then inspect the repository for any existing Bell-functional or solver infrastructure. Done means an automated pipeline validates constants against CHSH, tilted families, and CGLMP, with stated comparison or failure results.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
testing, tooling
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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