activity
20172021
most cited: A Quantum Programming Environment

3 citations · 8 across the 4 of their papers we have counts for

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17 papers · 1 filter

quant-ph20211 cited

Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm

Xin Wang

Optimizing parameterized quantum circuits promises efficient use of near-term quantum computers to achieve the potential quantum advantage. However, there is a notorious tradeoff b…

quant-ph2021

Symmetric distinguishability as a quantum resource

Robert Salzmann, Nilanjana Datta, Gilad Gour +2

We develop a resource theory of symmetric distinguishability, the fundamental objects of which are elementary quantum information sources, i.e., sources that emit one of two possib…

quant-ph20201 cited

More Practical and Adaptive Algorithms for Online Quantum State Learning

Yifang Chen, Xin Wang

Online quantum state learning is a recently proposed problem by Aaronson et al. (2018), where the learner sequentially predicts -qubit quantum states based on given measurements…

quant-ph2020

Quantum algorithms for hedging and the learning of Ising models

Patrick Rebentrost, Yassine Hamoudi, Maharshi Ray +3

A paradigmatic algorithm for online learning is the Hedge algorithm by Freund and Schapire. An allocation into different strategies is chosen for multiple rounds and each round inc…

quant-ph2019

Resource theory of entanglement for bipartite quantum channels

Stefan Bäuml, Siddhartha Das, Xin Wang +1

The traditional perspective in quantum resource theories concerns how to use free operations to convert one resourceful quantum state to another one. For example, a fundamental and…

quant-ph2019

Resource theory of asymmetric distinguishability for quantum channels

Xin Wang, Mark M. Wilde

This paper develops the resource theory of asymmetric distinguishability for quantum channels, generalizing the related resource theory for states [arXiv:1010.1030; arXiv:1905.1162…