Min-Hsiu Hsieh

Asymmetric Quantum Concatenated and Tensor Product Codes with Large Z-Distances

In many quantum channels, dephasing errors occur more frequently than th...
12/01/2020 ∙ by Jihao Fan, et al. ∙ 0 ∙ share

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Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers

Quantum error mitigation techniques are at the heart of quantum computat...
10/20/2020 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

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Experimental Quantum Generative Adversarial Networks for Image Generation

Quantum machine learning is expected to be one of the first practical ap...
10/13/2020 ∙ by He-Liang Huang, et al. ∙ 0 ∙ share

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Quantum differentially private sparse regression learning

Differentially private (DP) learning, which aims to accurately extract p...
07/23/2020 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

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Quantum noise protects quantum classifiers against adversaries

Noise in quantum information processing is often viewed as a disruptive ...
03/20/2020 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

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On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications

In this paper, we present a new framework to obtain tail inequalities fo...
10/08/2019 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Quantum algorithm for finding the negative curvature direction in non-convex optimization

We present an efficient quantum algorithm aiming to find the negative cu...
09/17/2019 ∙ by Kaining Zhang, et al. ∙ 0 ∙ share

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A Quantum-inspired Algorithm for General Minimum Conical Hull Problems

A wide range of fundamental machine learning tasks that are addressed by...
07/16/2019 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

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Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications

The exploration of quantum algorithms that possess quantum advantages is...
04/21/2019 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

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Publicness, Privacy and Confidentiality in the Single-Serving Quantum Broadcast Channel

The 2-receiver broadcast channel is studied: a network with three partie...
03/11/2019 ∙ by Farzin Salek, et al. ∙ 0 ∙ share

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Quantum Speedup in Adaptive Boosting of Binary Classification

In classical machine learning, a set of weak classifiers can be adaptive...
02/03/2019 ∙ by Ximing Wang, et al. ∙ 0 ∙ share

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Generalization Bounds for Vicinal Risk Minimization Principle

The vicinal risk minimization (VRM) principle, first proposed by vapnik1...
11/11/2018 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Properties of Noncommutative Renyi and Augustin Information

The scaled Rényi information plays a significant role in evaluating the ...
11/10/2018 ∙ by Hao-Chung Cheng, et al. ∙ 0 ∙ share

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The Expressive Power of Parameterized Quantum Circuits

Parameterized quantum circuits (PQCs) have been broadly used as a hybrid...
10/29/2018 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

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Duality between source coding with quantum side information and c-q channel coding

In this paper, we establish an interesting duality between two different...
09/28/2018 ∙ by Hao-Chung Cheng, et al. ∙ 0 ∙ share

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One-shot Capacity bounds on the Simultaneous Transmission of Classical and Quantum Information

We study the communication capabilities of a quantum channel under the m...
09/19/2018 ∙ by Farzin Salek, et al. ∙ 0 ∙ share

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Implementable Quantum Classifier for Nonlinear Data

In this Letter, we propose a quantum machine learning scheme for the cla...
09/17/2018 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

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Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization

In this paper, we study tail inequalities of the largest eigenvalue of a...
09/04/2018 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Non-Asymptotic Classical Data Compression with Quantum Side Information

In this paper, we analyze classical data compression with quantum side i...
03/20/2018 ∙ by Hao-Chung Cheng, et al. ∙ 0 ∙ share

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Construction and Performance of Quantum Burst Error Correction Codes for Correlated Errors

In practical communication and computation systems, errors occur predomi...
01/11/2018 ∙ by Jihao Fan, et al. ∙ 0 ∙ share

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The Learnability of Unknown Quantum Measurements

Quantum machine learning has received significant attention in recent ye...
01/03/2015 ∙ by Hao-Chung Cheng, et al. ∙ 0 ∙ share

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Min-Hsiu Hsieh

Featured Co-authors

Dacheng Tao

Chao Zhang

Jun Li

Yonghui Li

Tongliang Liu

Liu Liu

He Chen

Ming Gong

Rahul Jain

Rui Yang

Yu Xu

Asymmetric Quantum Concatenated and Tensor Product Codes with Large Z-Distances

Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers

Experimental Quantum Generative Adversarial Networks for Image Generation

Quantum differentially private sparse regression learning

Quantum noise protects quantum classifiers against adversaries

On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications

Quantum algorithm for finding the negative curvature direction in non-convex optimization

A Quantum-inspired Algorithm for General Minimum Conical Hull Problems

Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications

Publicness, Privacy and Confidentiality in the Single-Serving Quantum Broadcast Channel

Quantum Speedup in Adaptive Boosting of Binary Classification

Generalization Bounds for Vicinal Risk Minimization Principle

Properties of Noncommutative Renyi and Augustin Information

The Expressive Power of Parameterized Quantum Circuits

Duality between source coding with quantum side information and c-q channel coding

One-shot Capacity bounds on the Simultaneous Transmission of Classical and Quantum Information

Implementable Quantum Classifier for Nonlinear Data

Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization

Non-Asymptotic Classical Data Compression with Quantum Side Information

Construction and Performance of Quantum Burst Error Correction Codes for Correlated Errors

The Learnability of Unknown Quantum Measurements