aiqbench analysis
This research establishes fundamental lower bounds on the sample complexity required to estimate quantum entropy using fixed rank-one measurements, revealing that achieving uniform accuracy necessitates a quadratic number of observations relative to the system dimension. The study highlights a significant gap between these theoretical limits and existing tomography protocols, which currently require cubic scaling for certain designs, thereby identifying a critical open regime in intermediate observation counts. These findings are essential for optimizing resource-efficient quantum state characterization without relying on adaptive or collective measurement strategies.
A Frame-Spread Lower Bound for Quantum Entropy Estimation under Fixed Rank-One Measurements
arXiv:2610.00270v1 Announce Type: new Abstract: We study estimation of the von Neumann entropy of a $d$-dimensional quantum state from independent outcomes of a fixed rank-one measurement. Let $\kappa_\nu\in[1,d+1]$ denote the normalized trace-zero frame spread; $\kappa_\nu=1$ for exact complex projective $2$-designs. For any fixed rank-one measurement and $n\le c_2d^2/\kappa_\nu$, the minimax mean-squared error is at least $c_1\log^2\{d^2/(\kappa_\nu n)\}$. For bounded frame spread and every fixed $0<a<2$, the minimax risk is of order $\log^2 d$ throughout $n\lesssim d^{2-a}$; hence fixed uniform accuracy requires $\Omega(d^2)$ observations. Existing tomography bounds give bounded risk from $O(d^3\log^3 d)$ observations for finite equal-weight exact designs and the Haar covariant measurement, while the intermediate minimax regime remains open. The results concern a fixed measurement repeated independently across copies; adaptive and collective protocols, and protocols that reuse common randomness across copies, are not covered.
Abstract:We study estimation of the von Neumann entropy of a $d$-dimensional quantum state from independent outcomes of a fixed rank-one measurement. Let $\kappa_\nu\in[1,d+1]$ denote the normalized trace-zero frame spread; $\kappa_\nu=1$ for exact complex projective $2$-designs. For any fixed rank-one measurement and $n\le c_2d^2/\kappa_\nu$, the minimax mean-squared error is at least $c_1\log^2\{d^2/(\kappa_\nu n)\}$. For bounded frame spread and every fixed $0<a<2$, the minimax risk is of order $\log^2 d$ throughout $n\lesssim d^{2-a}$; hence fixed uniform accuracy requires $\Omega(d^2)$ observations. Existing tomography bounds give bounded risk from $O(d^3\log^3 d)$ observations for finite equal-weight exact designs and the Haar covariant measurement, while the intermediate minimax regime remains open. The results concern a fixed measurement repeated independently across copies; adaptive and collective protocols, and protocols that reuse common randomness across copies, are not covered.
Quantum Physics (quant-ph); Statistics Theory (math.ST)
arXiv:2610.00270 [quant-ph]
(or arXiv:2610.00270v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.00270 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 227 words
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