
QMLLisbon Uni
AQIS 2021

Variational Quantum CircuitsNTU
AQIS 2021

Variational Quantum Circuits
AQIS 2021

Challenges and Opportunities of Quantum Machine Learning
AQIS 2021

Challenges and Opportunities of Quantum Machine Learning
AQIS 2021

Challenges and Opportunities of Quantum Machine Learning
AQIS 2021

Challenges and Opportunities of Quantum Machine Learning
第九屆台灣工業與應用數學會年會8月7日(六)

The power of quantum neural networks
MLQ 2021

Copy of Challenges and Opportunities of Quantum Machine Learning
CSIE, NTU. 16 July 2019

Challenges and Opportunities of Quantum Machine Learning
CSIE, NTU. 16 July 2019

Copy of General Resource Theory

Dimension Free Tail Inequalities and Applications

Machine Learning Meets Quantum Computation
01 Aug 2019

Copy of Oneshot distillation in a general resource theory

General Resource Theory
Banff Conference. July 2019

Machine Learning Meets Quantum Computation
CSIE, NTU. 16 July 2019

Quantum AI
Promotion Slides

Quantum Machine Learning
QI school at Kyoto University, 1820 of March 2019

Parameterized Quantum Circuits
The Second Hong Kong  Shenzhen Workshop on Quantum Information Science

Quantum computer, quantum software and beyond.
Academia Sinica 90th anniversary, Frontiers of Sciences and Humanities Seminar Series, Taipei, Taiwan, November 23, 2018.

Parameterized Quantum Circuits
arXiv:1809.06056+1810.11922

Quantum Machine Learning

Common Information In Quantum Information Science

Quantum Machine Learning
Slides used in SOC Siliconbased Quantum Computing Forum. Taipei, Taiwan, September 19, 2018.

General Resource Theory

QSI Intro

Learning Quantum Objects
1st International Workshop on Quantum Software and Quantum Machine Learning

Error Exponent Analysis in Quantum Source and Channel Coding

Round Complexity of Quantum State Transformation
arXiv:1610.01998

Superadditivity in tradeoff capacities of quantum channels
arXiv:0811.4227+arXiv:0901.3038+arXiv:1708.04314

AQIS 2017: Moderate Deviations for ClassicalQuantum Channels

AQIS 2017: Quantum SpherePacking Bounds with Polynomial Prefactors

Quantum Moderate and Large Deviation Analysis