most citedTransformer Acceleration with Dynamic Sparse Attention

12 citations · 30 across the 9 of their papers we have counts for

collaborators
Showing quant-phShow all

5 papers · 1 filter

quant-ph2022★ 3 cited

AutoComm: A Framework for Enabling Efficient Communication in Distributed Quantum Programs

Anbang Wu, Hezi Zhang, Gushu Li +3

Distributed quantum computing (DQC) is a promising approach to extending the computational power of near-term quantum devices. However, the non-local quantum communication between…

quant-ph2021★ 8 cited

Towards Efficient Ansatz Architecture for Variational Quantum Algorithms

Anbang Wu, Gushu Li, Yuke Wang +3

Variational quantum algorithms are expected to demonstrate the advantage of quantum computing on near-term noisy quantum computers. However, training such variational quantum algor…

quant-ph2021

Mapping Surface Code to Superconducting Quantum Processors

Anbang Wu, Gushu Li, Hezi Zhang +3

In this paper, we formally describe the three challenges of mapping surface code on superconducting devices, and present a comprehensive synthesis framework to overcome these chall…

quant-ph2021★ 1 cited

QECV: Quantum Error Correction Verification

Anbang Wu, Gushu Li, Hezi Zhang +3

Quantum Error Correction (QEC) is essential for fault-tolerant quantum copmutation, and its implementation is a very sophisticated process involving both quantum and classical hard…

quant-ph2021★ 1 cited

Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training

Anbang Wu, Gushu Li, Yufei Ding +1

Variational quantum algorithms are expected to demonstrate the advantage of quantum computing on near-term noisy quantum computers. However, training such variational quantum algor…