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arXiv · 2512.17713

Certified bounds on optimization problems in quantum theory

Younes Naceur·Jie Wang·Victor Magron·Antonio Acín
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Abstract

Semidefinite relaxations of polynomial optimization have become a central tool for addressing the non-convex optimization problems over non-commutative operators that are ubiquitous in quantum information theory and, more in general, quantum physics. Yet, as these global relaxation methods rely on floating-point methods, the bounds issued by the semidefinite solver can - and often do - exceed the global optimum, undermining their certifiability. To counter this issue, we introduce a rigorous framework for extracting exact rational bounds on non-commutative optimization problems from numerical data, and apply it to several paradigmatic problems in quantum information theory. An extension to sparsity and symmetry-adapted semidefinite relaxations is also provided and compared to the general dense scheme. Our results establish rational post-processing as a practical route to reliable certification, pushing semidefinite optimization toward a certifiable standard for quantum information science.

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Younes Naceur, Jie Wang, Victor Magron, Antonio Acín. 2025-12-19. Certified bounds on optimization problems in quantum theory. https://arxiv.org/abs/2512.17713

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