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20192026
most citedBypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing

4 citations · 10 across the 12 of their papers we have counts for

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quant-ph2024

Polynomial-Time Preparation of Low-Temperature Gibbs States for 2D Toric Code

Zhiyan Ding, Zeph Landau, Bowen Li +2

We propose a polynomial-time algorithm for preparing the Gibbs state of the two-dimensional toric code Hamiltonian at any temperature, starting from any initial condition, signific…

quant-ph2023

Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters

Zhao Song, Junze Yin, Ruizhe Zhang

Linear regression is one of the most fundamental linear algebra problems. Given a dense matrix and a vector , the goal is to find such that…

quant-ph2022

Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits

Tongyang Li, Ruizhe Zhang

We initiate the study of quantum algorithms for optimizing approximately convex functions. Given a convex set and a function $F\colon\mathbb{R}^{n…

quant-ph2021

Quantum Meets the Minimum Circuit Size Problem

Nai-Hui Chia, Chi-Ning Chou, Jiayu Zhang +1

In this work, we initiate the study of the Minimum Circuit Size Problem (MCSP) in the quantum setting. MCSP is a problem to compute the circuit complexity of Boolean functions. It…

quant-ph2019

On the Quantum Complexity of Closest Pair and Related Problems

Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin +2

The closest pair problem is a fundamental problem of computational geometry: given a set of points in a -dimensional space, find a pair with the smallest distance. A classic…