Min-Hsiu Hsieh

research

∙ 06/14/2023

Characterizing First Arrival Position Channels: Noise Distribution and Capacity Analysis

This paper addresses two fundamental problems in diffusive molecular com...

0 Yen-Chi Lee, et al. ∙

research

∙ 05/04/2023

Capacity Bounds for Vertically-Drifted First Arrival Position Channels under a Covariance Constraint

In this paper, we delve into the capacity problem of additive vertically...

0 Yun-Feng Lo, et al. ∙

research

∙ 05/01/2023

General Distance Balancing for Quantum Locally Testable Codes

In this paper, we prove a lower bound on the soundness of quantum locall...

0 Adam Wills, et al. ∙

research

∙ 02/06/2023

Approximate reconstructability of quantum states and noisy quantum secret sharing schemes

We introduce and analyse approximate quantum secret sharing in a formal ...

0 Yingkai Ouyang, et al. ∙

research

∙ 01/11/2023

One-Shot Distributed Source Simulation: As Quantum as it Can Get

Distributed source simulation is the task where two (or more) parties sh...

0 Ian George, et al. ∙

research

∙ 10/24/2022

Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer

Factorization Machine (FM) is the most commonly used model to build a re...

0 Chen-Yu Liu, et al. ∙

research

∙ 06/08/2022

Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression

The noisy intermediate-scale quantum (NISQ) devices enable the implement...

0 Jun Qi, et al. ∙

research

∙ 06/07/2022

Recent Advances for Quantum Neural Networks in Generative Learning

Quantum computers are next-generation devices that hold promise to perfo...

0 Jinkai Tian, et al. ∙

research

∙ 03/17/2022

Gaussian initializations help deep variational quantum circuits escape from the barren plateau

Variational quantum circuits have been widely employed in quantum simula...

0 Kaining Zhang, et al. ∙

research

∙ 01/27/2022

Capacity of First Arrival Position Channel in Diffusion-Based Molecular Communication

In [1], the impulse response of the first arrival position (FAP) channel...

0 Yen-Chi Lee, et al. ∙

research

∙ 01/27/2022

c^3-Locally Testable Codes from Lossless Expanders

A locally testable code (LTC) is an error correcting code with a propert...

0 Ting-Chun Lin, et al. ∙

research

∙ 01/12/2022

First Arrival Position in Molecular Communication Via Generator of Diffusion Semigroup

We consider the problem of characterizing the first arrival position (FA...

0 Yen-Chi Lee, et al. ∙

research

∙ 11/22/2021

Sublinear quantum algorithms for estimating von Neumann entropy

Entropy is a fundamental property of both classical and quantum systems,...

0 Tom Gur, et al. ∙

research

∙ 07/12/2021

From Generalization of Bacon-Shor Codes to High Performance Quantum LDPC Codes

We utilize a concatenation scheme to construct new families of quantum e...

0 Jihao Fan, et al. ∙

research

∙ 03/31/2021

Quantum Optimization for Training Quantum Neural Networks

Training quantum neural networks (QNNs) using gradient-based or gradient...

0 Yidong Liao, et al. ∙

research

∙ 01/28/2021

Entanglement-assisted multiple-access channels: capacity regions and protocol designs

We solve the entanglement-assisted (EA) classical capacity region of qua...

0 Haowei Shi, et al. ∙

research

∙ 12/01/2020

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

In many quantum channels, dephasing errors occur more frequently than th...

0 Jihao Fan, et al. ∙

research

∙ 10/20/2020

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

Quantum error mitigation techniques are at the heart of quantum computat...

0 Yuxuan Du, et al. ∙

research

∙ 10/13/2020

Experimental Quantum Generative Adversarial Networks for Image Generation

Quantum machine learning is expected to be one of the first practical ap...

0 He-Liang Huang, et al. ∙

research

∙ 07/23/2020

Quantum differentially private sparse regression learning

Differentially private (DP) learning, which aims to accurately extract p...

0 Yuxuan Du, et al. ∙

research

∙ 03/20/2020

Quantum noise protects quantum classifiers against adversaries

Noise in quantum information processing is often viewed as a disruptive ...

0 Yuxuan Du, et al. ∙

research

∙ 10/08/2019

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...

0 Chao Zhang, et al. ∙

research

∙ 09/17/2019

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

We present an efficient quantum algorithm aiming to find the negative cu...

0 Kaining Zhang, et al. ∙

research

∙ 07/16/2019

A Quantum-inspired Algorithm for General Minimum Conical Hull Problems

A wide range of fundamental machine learning tasks that are addressed by...

0 Yuxuan Du, et al. ∙

research

∙ 04/21/2019

Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications

The exploration of quantum algorithms that possess quantum advantages is...

0 Yuxuan Du, et al. ∙

research

∙ 03/11/2019

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

The 2-receiver broadcast channel is studied: a network with three partie...

0 Farzin Salek, et al. ∙

research

∙ 02/03/2019

Quantum Speedup in Adaptive Boosting of Binary Classification

In classical machine learning, a set of weak classifiers can be adaptive...

0 Ximing Wang, et al. ∙

research

∙ 11/11/2018

Generalization Bounds for Vicinal Risk Minimization Principle

The vicinal risk minimization (VRM) principle, first proposed by vapnik1...

0 Chao Zhang, et al. ∙

research

∙ 11/10/2018

Properties of Noncommutative Renyi and Augustin Information

The scaled Rényi information plays a significant role in evaluating the ...

0 Hao-Chung Cheng, et al. ∙

research

∙ 10/29/2018

The Expressive Power of Parameterized Quantum Circuits

Parameterized quantum circuits (PQCs) have been broadly used as a hybrid...

0 Yuxuan Du, et al. ∙

research

∙ 09/28/2018

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

In this paper, we establish an interesting duality between two different...

0 Hao-Chung Cheng, et al. ∙

research

∙ 09/19/2018

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...

0 Farzin Salek, et al. ∙

research

∙ 09/17/2018

Implementable Quantum Classifier for Nonlinear Data

In this Letter, we propose a quantum machine learning scheme for the cla...

0 Yuxuan Du, et al. ∙

research

∙ 09/04/2018

Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization

In this paper, we study tail inequalities of the largest eigenvalue of a...

0 Chao Zhang, et al. ∙

research

∙ 03/20/2018

Non-Asymptotic Classical Data Compression with Quantum Side Information

In this paper, we analyze classical data compression with quantum side i...

0 Hao-Chung Cheng, et al. ∙

research

∙ 01/11/2018

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

In practical communication and computation systems, errors occur predomi...

0 Jihao Fan, et al. ∙

research

∙ 01/03/2015

The Learnability of Unknown Quantum Measurements

Quantum machine learning has received significant attention in recent ye...

0 Hao-Chung Cheng, et al. ∙

Min-Hsiu Hsieh

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