3 papers
quant-ph2020
A rigorous and robust quantum speed-up in supervised machine learning
Yunchao Liu, Srinivasan Arunachalam, Kristan Temme
Over the past few years several quantum machine learning algorithms were proposed that promise quantum speed-ups over their classical counterparts. Most of these learning algorithm…
quant-ph2019
Operational Resource Theory of Quantum Channels
Yunchao Liu, Xiao Yuan
Quantum resource theories have been widely studied to systematically characterize the non-classicality of quantum systems. Most resource theories focus on quantum states and study…
quant-ph2018
One-Shot Coherence Distillation: Towards Completing the Picture
Qi Zhao, Yunchao Liu, Xiao Yuan +2
The resource framework of quantum coherence was introduced by Baumgratz, Cramer and Plenio [PRL 113, 140401 (2014)] and further developed by Winter and Yang [PRL 116, 120404 (2016)…