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Accessible Quantum Correlations Under Complexity Constraints

Quantum Physics 2026-04-20 v1 Computational Complexity Information Theory math.IT

Abstract

Quantum systems may contain underlying correlations which are inaccessible to computationally bounded observers. We capture this distinction through a framework that analyses bipartite states only using efficiently implementable quantum channels. This leads to a complexity-constrained max-divergence and a corresponding computational min-entropy. The latter quantity recovers the standard operational meaning of the conditional min-entropy: in the fully quantum case, it quantifies the largest overlap with a maximally entangled state attainable via efficient operations on the conditional subsystem. For classical-quantum states, it further reduces to the optimal guessing probability of a computationally bounded observer with access to side information. Lastly, in the absence of side information, the computational min-entropy simplifies to a computational notion of the operator norm. We then establish strong separations between the information-theoretic and complexity-constrained notions of min-entropy. For pure states, there exist highly entangled families of states with extremal min-entropy whose efficiently accessible entanglement in terms of computational min-entropy is exponentially suppressed. For mixed states, the separation is even sharper: the information-theoretic conditional min-entropy can be highly negative while the complexity-constrained quantity remains nearly maximal. Overall, our results demonstrate that computational constraints can fundamentally limit the quantum correlations that are observable in practice.

Keywords

Cite

@article{arxiv.2604.15540,
  title  = {Accessible Quantum Correlations Under Complexity Constraints},
  author = {Álvaro Yángüez and Noam Avidan and Jan Kochanowski and Thomas A. Hahn},
  journal= {arXiv preprint arXiv:2604.15540},
  year   = {2026}
}

Comments

Main paper: 6 pages, 1 figure. Supplementary material: 45 pages

R2 v1 2026-07-01T12:13:34.492Z