activity
20082023
most citedQuantifying quantum resources with conic programming

138 citations · 1.1k across the 34 of their papers we have counts for

collaborators

35 papers

quant-ph2023★ 3 cited

Estimating many properties of a quantum state via quantum reservoir processing

Yinfei Li, Sanjib Ghosh, Jiangwei Shang +2

Estimating properties of a quantum state is an indispensable task in various applications of quantum information processing. To predict properties in the post-processing stage, it…

quant-ph2023

Reliable optimization of arbitrary functions over quantum measurements

Jing Luo, Jiangwei Shang

As the connection between classical and quantum worlds, quantum measurements play a unique role in the era of quantum information processing. Given an arbitrary function of quantum…

quant-ph2022★ 6 cited

Efficient verification of arbitrary entangled states with homogeneous local measurements

Ye-Chao Liu, Yinfei Li, Jiangwei Shang +1

Quantum state verification (QSV) is the task of relying on local measurements only to verify that a given quantum device does produce the desired target state. Up to now, certain t…

physics.optics2022★ 10 cited

Universal classical optical computing inspired by quantum information process

Yifan Sun, Qian Li, Ling-Jun Kong +2

Quantum computing has attracted much attention in recent decades, since it is believed to solve certain problems substantially faster than traditional computing methods. Theoretica…

quant-ph2021★ 44 cited

Geometric mean of bipartite concurrences as a genuine multipartite entanglement measure

Yinfei Li, Jiangwei Shang

In this work we propose the geometric mean of bipartite concurrences as a genuine multipartite entanglement measure. This measure achieves the maximum value for absolutely maximall…

quant-ph2021

Sampling quantum states with inequality constraints

Weijun Li, Rui Han, Jiangwei Shang +2

Random samples of quantum states with specific properties are useful for various applications, such as Monte Carlo integration over the state space. In the high-dimensional situati…