activity
20162023
most citedClosing the "Quantum Supremacy" Gap: Achieving Real-Time Simulation of a Random Quantum Circuit Using a New Sunway Supercomputer

119 citations · 296 across the 13 of their papers we have counts for

collaborators

13 papers

cs.PL2023

O2ATH: An OpenMP Offloading Toolkit for the Sunway Heterogeneous Manycore Platform

Haoran Lin, Lifeng Yan, Qixin Chang +13

The next generation Sunway supercomputer employs the SW26010pro processor, which features a specialized on-chip heterogeneous architecture. Applications with significant hotspots c…

quant-ph2022★ 14 cited

Validating quantum-supremacy experiments with exact and fast tensor network contraction

Yong Liu, Yaojian Chen, Chu Guo +11

The quantum supremacy experiment, such as Google Sycamore [Nature \textbf{574}, 505 (2019)], poses great challenge for classical verification due to the exponentially-increasing co…

cs.DC2022★ 11 cited

Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer

Yaojian Chen, Yong Liu, Xinmin Shi +8

High-performance classical simulator for quantum circuits, in particular the tensor network contraction algorithm, has become an important tool for the validation of noisy quantum…

quant-ph2021★ 4 cited

Redefining the Quantum Supremacy Baseline With a New Generation Sunway Supercomputer

Xin Liu, Chu Guo, Yong Liu +11

A major milestone in the era of noisy intermediate scale quantum computers is \textit{quantum supremacy} [Nature \textbf{574}, 505 (2019)] claimed on the Sycamore quantum processor…

quant-ph2021★ 119 cited

Closing the "Quantum Supremacy" Gap: Achieving Real-Time Simulation of a Random Quantum Circuit Using a New Sunway Supercomputer

Yong, Liu, Xin +13

We develop a high-performance tensor-based simulator for random quantum circuits(RQCs) on the new Sunway supercomputer. Our major innovations include: (1) a near-optimal slicing sc…

cs.DC2021★ 1 cited

Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters

Zhengda Bian, Shenggui Li, Wei Wang +1

Efficient GPU resource scheduling is essential to maximize resource utilization and save training costs for the increasing amount of deep learning workloads in shared GPU clusters.…