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This research establishes the sharp universal bound comparing global versus product observables in bipartite quantum systems, refining our understanding of correlation gaps and data hiding limits. By proving an $L_1$ noncommutative Khintchine inequality with a verified coefficient of $\sqrt{2}$, the study advances fundamental theoretical frameworks essential for scalable quantum information protocols. The rigorous mathematical proofs have been machine-checked in Lean, ensuring high reliability for future algorithmic applications in quantum computing architectures.
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Global vs. Product Observables in Bipartite Quantum Systems: The Sharp Bound

arXiv2 min read

arXiv:2608.06235v1 Announce Type: new Abstract: To probe a bipartite quantum system, one may use arbitrary global operators or restrict to product operators acting separately on the two subsystems. We determine the sharp universal comparison between the resulting norms. For every $z\in M_n\otimes M_m$, we prove $\|z\|_1\leq\sqrt{2}\min\{n,m\}\|z\|_\varepsilon$, where $\|\cdot\|_1$ is the trace norm and $\|\cdot\|_\varepsilon$ is the injective tensor norm associated with the trace norms on $M_n$ and $M_m$. To prove the upper bound, we establish an $L_1$ noncommutative Khintchine inequality whose random coefficients are the entries of a Haar unitary. We also show that the coefficient $\sqrt{2}$ is sharp. As applications, we show that the same sharp constant governs the gap between bipartite correlation measured in trace norm and that measured by a correlation function, and obtain an improved universal upper bound for quantum data hiding. The upper bound has also been formalized and machine-checked in Lean.

Title:Global vs. Product Observables in Bipartite Quantum Systems: The Sharp Bound

Abstract:To probe a bipartite quantum system, one may use arbitrary global operators or restrict to product operators acting separately on the two subsystems. We determine the sharp universal comparison between the resulting norms. For every $z\in M_n\otimes M_m$, we prove $\|z\|_1\leq\sqrt{2}\min\{n,m\}\|z\|_\varepsilon$, where $\|\cdot\|_1$ is the trace norm and $\|\cdot\|_\varepsilon$ is the injective tensor norm associated with the trace norms on $M_n$ and $M_m$. To prove the upper bound, we establish an $L_1$ noncommutative Khintchine inequality whose random coefficients are the entries of a Haar unitary. We also show that the coefficient $\sqrt{2}$ is sharp. As applications, we show that the same sharp constant governs the gap between bipartite correlation measured in trace norm and that measured by a correlation function, and obtain an improved universal upper bound for quantum data hiding. The upper bound has also been formalized and machine-checked in Lean.

Quantum Physics (quant-ph); Functional Analysis (math.FA)

arXiv:2608.06235 [quant-ph]

(or arXiv:2608.06235v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.06235 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 250 words

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