activity
20172021
most citedQuantum computational advantage using photons

2.3k citations · 2.7k across the 7 of their papers we have counts for

collaborators

15 papers

quant-ph2021441 cited

Phase-Programmable Gaussian Boson Sampling Using Stimulated Squeezed Light

Han-Sen Zhong, Yu-Hao Deng, Jian Qin +23

The tantalizing promise of quantum computational speedup in solving certain problems has been strongly supported by recent experimental evidence from a high-fidelity 53-qubit super…

quant-ph20202.3k cited

Quantum computational advantage using photons

Han-Sen Zhong, Hui Wang, Yu-Hao Deng +21

Gaussian boson sampling exploits squeezed states to provide a highly efficient way to demonstrate quantum computational advantage. We perform experiments with 50 input single-mode…

cs.DC20209 cited

Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight

Yuxuan Li, Mingcheng Chen, Yaojian Chen +6

Boson sampling is expected to be one of an important milestones that will demonstrate quantum supremacy. The present work establishes the benchmarking of Gaussian boson sampling (G…

cs.LG2020

Model-based Adversarial Meta-Reinforcement Learning

Zichuan Lin, Garrett Thomas, Guangwen Yang +1

Meta-reinforcement learning (meta-RL) aims to learn from multiple training tasks the ability to adapt efficiently to unseen test tasks. Despite the success, existing meta-RL algori…

cs.LG20193 cited

Distributional Reward Decomposition for Reinforcement Learning

Zichuan Lin, Li Zhao, Derek Yang +3

Many reinforcement learning (RL) tasks have specific properties that can be leveraged to modify existing RL algorithms to adapt to those tasks and further improve performance, and…

cs.DC2019

Massively Scaling Seismic Processing on Sunway TaihuLight Supercomputer

Yongmin Hu, Hailong Yang, Zhongzhi Luan +1

Common Midpoint (CMP) and Common Reflection Surface (CRS) are widely used methods for improving the signal-to-noise ratio in the field of seismic processing. These methods are comp…