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Sunghyeon Jo

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Preprint Aug 2026

Fidelity Estimation to a Known Quantum State Is Nearly Quadratic in the Smaller Rank

We study the number of copies needed to estimate the root Uhlmann fidelity between an unknown quantum state and a classically known reference, under collective measurements. If the unknown state has rank at most $s$, we give an estimator using $O(s^2/\varepsilon^2)$ copies, uniformly in the ambient dimension and refere...

G. Lee, Sunghyeon Jo · 0 citations
Preprint Sep 2026

An Improved Upper Bound for Multicolour Ramsey Numbers

Let $R_r(k)$ denote the diagonal $r$-colour Ramsey number. We prove that there exist absolute constants $c,K>0$ such that $R_r(k)\le r^{rk}\exp\!\left(-c\frac{k}{r\log^2(2r)}\right)$ for every $r\ge2$ and every $k\ge Kr^2\log^6(2r)$. This improves the exponential saving in a recent bound of Yang and Mao by a factor of...

Sunghyeon Jo · 1 citation
Preprint Aug 2026

The Sample Complexity of Fidelity Estimation to a Known Rank-$r$ Reference State Is $\widetilde{\Theta}(r^2/\varepsilon^2)$

We settle the sample complexity of estimating the root Uhlmann fidelity $F(\rho,\sigma)=\operatorname{tr}\sqrt{\sqrt{\sigma}\rho\sqrt{\sigma}}$ between an unknown state $\rho$ and a known rank-$r$ reference state $\sigma$. Writing $S(r,\varepsilon)$ for the sample complexity at additive error $\varepsilon$, we resolve...

G. Lee, Sunghyeon Jo · 0 citations
Preprint Sep 2026

On Minimax Optimality and Uniqueness of Fixed-Step First-Order Methods for Smooth Convex Optimization

This paper considers the design of optimal fixed-step first-order methods for high-dimensional minimization of $L$-smooth convex functions. For optimizing worst-case performance measured via suboptimality of the final function value (relative to the initial squared distance to a minimizer), we provide an algebraic proo...

Benjamin Grimmer, Sunghyeon Jo, Chanwoo Park · 1 citation
Preprint Sep 2026

The Exact Online Threshold for the Asymmetric Binary Perceptron

Let $G\in\mathbb{R}^{M\times N}$ have independent standard Gaussian entries. For a fixed margin $\kappa\in\mathbb{R}$, the asymmetric binary perceptron asks for $\sigma\in\{\pm1\}^N$ such that $G\sigma/\sqrt{N}\ge\kappa\mathbf{1}_M$. We study the online version of this problem, in which the columns of $G$ arrive sequen...

Sunghyeon Jo, Taekyun Lee · 1 citation

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