Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated just now
PreprintCC BY 4.0arXiv

Robust self-testing of nonmaximal entanglement from a reduced inner product game

Abstract

We reduce Lalonde's pseudo-telepathy inner product game from six to five dimensions, keeping its four Alice questions and three Bob questions and reducing each answer alphabet to five. We prove that the reduced game self-tests its nonmaximally entangled state and all 35 measurement effects. The self-test is also robust: for a strategy winning with probability at least 1−ε we obtain dext≤min{1,221√ε}, where dext=√(1−Ξ) and Ξ is the optimal squared fidelity with the reference state under local extraction channels. A compactness argument then gives simultaneous qualitative robustness for all measurement actions on the state under common local isometries. As a consequence of the self-test, no maximally entangled state of any finite dimension can win the game perfectly.

Related

  1. Fully tolerant product state testing and closest product state learning
    Zongbo Bao, Jonas Helsen, Tuyen Nguyen
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  2. Entanglement recovering under local non-positive reduced dynamics
    Iman Sargolzahi
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  3. Robust logarithmic entanglement lower bound for f-routing
    Kevin Bogner
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  4. Testing Gravitationally-Induced-Entanglement with Massive Particles and Quantum Clocks
    Germain Tobar, Markus Aspelmeyer, Magdalena Zych
    arXivPreprintarXiv licenceFull textGravitation & general relativityQuantum physics & quantum informationarXiv
  5. Robust Entanglement Witnessing via Dense Network Coding with Graph States
    Brian Doolittle, Ian George
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
BibTeX
@misc{chen2026robust,
  title = {{Robust self-testing of nonmaximal entanglement from a reduced inner product game}},
  author = {Ranyiliu Chen},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.24349},
  eprint = {2609.24349},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.24349},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Robust self-testing of nonmaximal entanglement from a reduced inner product game
AU  - Ranyiliu Chen
PY  - 2026
DA  - 2026/09/21
PB  - arXiv
DO  - 10.48550/arxiv.2609.24349
UR  - https://arxiv.org/abs/2609.24349
AB  - We reduce Lalonde's pseudo-telepathy inner product game from six to five dimensions, keeping its four Alice questions and three Bob questions and reducing each answer alphabet to five. We prove that the reduced game self-tests its nonmaximally entangled state and all 35 measurement effects. The self-test is also robust: for a strategy winning with probability at least 1−ε we obtain d_ext≤min{1,2^21√ε}, where d_ext=√(1−Ξ) and Ξ is the optimal squared fidelity with the reference state under local extraction channels. A compactness argument then gives simultaneous qualitative robustness for all measurement actions on the state under common local isometries. As a consequence of the self-test, no maximally entangled state of any finite dimension can win the game perfectly.
ER  -