5 papers · 1 filter
Aligning Quantum Operators with Large Language Models
Rogerio Feris, Yunchao Liu, Pengyuan Li +2
Can Large Language Models (LLMs) understand and reason about quantum operators? Despite their remarkable capabilities in mathematics and symbolic reasoning, LLMs remain inherently…
Learning quantum states prepared by shallow circuits in polynomial time
Zeph Landau, Yunchao Liu
We give a polynomial time algorithm that, given copies of an unknown quantum state that is prepared by an unknown constant depth circuit on a…
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…
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…
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)…