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Noncommutative polynomial optimization under symmetry

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arxiv 2112.10803 v2 pith:VGHNLPVX submitted 2021-12-20 quant-ph

Noncommutative polynomial optimization under symmetry

classification quant-ph
keywords inequalitiesapproachesbellformalismnavascunoncommutativeoptimizationpolynomial
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present a general framework to exploit the symmetries present in the Navascu{\'e}s-Pironio-Ac{\'i}n semidefinite relaxations that approximate invariant noncommutative polynomial optimization problems. We put equal emphasis on the moment and sum-of-squares dual approaches, and provide a pedagogical and formal introduction to the Navascu{\'e}s-Pironio-Ac{\'i}n technique before working out the impact of symmetries present in the problem. Using our formalism, we compute analytical sum-of-square certificates for various Bell inequalities, and prove a long-standing conjecture about the exact maximal quantum violation of the CGLMP inequalities for dimension 3 and 4. We also apply our technique to the Sliwa inequalities in the Bell scenario with three parties with binary measurements settings/outcomes. Symmetry reduction is key to scale the applications of the NPA relaxation, and our formalism encompasses and generalizes the approaches found in the literature.

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Cited by 5 Pith papers

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    quant-ph 2026-01 conditional novelty 8.0

    Some symmetric Bell inequalities can only be maximally violated by asymmetric minimal-dimension quantum strategies, while the symmetric CGLMP family admits symmetric maximizers up to dimension 19.

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    Contextuality witnesses detect translation symmetry breaking in 1D TI Hamiltonians, with maximal violation at p-periodic ground states, reducible to finite periodic rings with matching bounds.

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  4. PCPOP.jl: A Julia package for partially commutative polynomial optimization

    quant-ph 2026-07 accept novelty 6.0

    PCPOP.jl implements partially commutative polynomial optimization with algebraic, symmetry and Jordan reductions, delivering measurable speed and size gains on quantum-information SDP hierarchies.

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