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Fangyu Li

University of Science and Technology of China

ORCID: 0000-0003-4235-5080

Publishes on Quantum Information and Cryptography, Quantum Computing Algorithms and Architecture, Polysaccharides and Plant Cell Walls. 7 papers and 105 citations.

7Publications
105Total Citations

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Top publicationsby citations

Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor
Dongxin Gao, Daojin Fan, Chen Zha et al.|Physical Review Letters|2025
Cited by 87

In the relentless pursuit of quantum computational advantage, we present a significant advancement with the development of Zuchongzhi 3.0. This superconducting quantum computer prototype, comprising 105 qubits, achieves high operational fidelities, with single-qubit gates, two-qubit gates, and readout fidelity at 99.90%, 99.62%, and 99.13%, respectively. Our experiments with an 83-qubit, 32-cycle random circuit sampling on the Zuchongzhi 3.0 highlight its superior performance, achieving 1×10^{6} samples in just a few hundred seconds. This task is estimated to be infeasible on the most powerful classical supercomputers, Frontier, which would require approximately 5.9×10^{9} yr to replicate the task. This leap in processing power places the classical simulation cost 6 orders of magnitude beyond Google's SYC-67 and SYC-70 experiments [Morvan et al., Nature 634, 328 (2024)10.1038/s41586-024-07998-6], firmly establishing a new benchmark in quantum computational advantage. Our work not only advances the frontiers of quantum computing but also lays the groundwork for a new era where quantum processors play an essential role in tackling sophisticated real-world challenges.

A Cross-Sectional Study Analyzing Predictors of Perceived Stress Among Elementary School Teachers During the COVID-19 Pandemic
Nivedhitha Parthasarathy, Fangyu Li, Feng Zhang et al.|Workplace Health & Safety|2022
Cited by 9Open Access

INTRODUCTION: Teaching is a stressful occupation due to high-stake job demands and limited resources, which were exacerbated during the initial phase of the COVID-19 pandemic. Our study assessed the prevalence of perceived stress and explored its predictors among elementary school teachers employed at schools serving predominantly low-income populations in five cities in the United States. METHOD: Our study analyzed the data among selected schools that were collected through the Brighter Bites teacher survey which comprised items measuring sociodemographic characteristics, perceived stress, perceived general health, food insecurity, and concerns regarding social determinants of health needs. The predictors of perceived stress were examined using generalized linear mixed models (GLMMs) with schools as the random variable. FINDINGS: A total of 685 teachers were included in the analysis (84.9% female, 38.1% Hispanic, 57.6% <5 years of teaching experience). Most (85.4%) of the teachers stated they were stressed "sometimes"/"often." Results from adjusted GLMM showed that teachers who were food insecure (adjusted odds ratio [AOR]: 2.33, confidence interval [CI]: [1.63, 3.35]), those who had concerns regarding financial stability (2.68 [1.91, 3.75]), food availability (1.69 [1.15, 2.48]), food affordability (2.27 [1.57, 3.28]), availability/affordability of housing (2.21 [1.33, 3.67]), access to childcare (1.76 [1.06, 2.92]), and access to a clinic/doctor (1.60 [1.10, 2.33]) were at significantly greater odds of reporting perceived stress. CONCLUSION/APPLICATION FOR PRACTICE: Our study demonstrates the heightened impact of COVID-19 on the mental well-being of teachers across a wide range of social needs. Stress management and additional social service programs are suggested to support teachers to mitigate pandemic impact.

Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor
Dongxin Gao, Daojin Fan, Chen Zha et al.|arXiv (Cornell University)|2024
Cited by 1Open Access

In the relentless pursuit of quantum computational advantage, we present a significant advancement with the development of Zuchongzhi 3.0. This superconducting quantum computer prototype, comprising 105 qubits, achieves high operational fidelities, with single-qubit gates, two-qubit gates, and readout fidelity at 99.90%, 99.62% and 99.18%, respectively. Our experiments with an 83-qubit, 32-cycle random circuit sampling on Zuchongzhi 3.0 highlight its superior performance, achieving one million samples in just a few hundred seconds. This task is estimated to be infeasible on the most powerful classical supercomputers, Frontier, which would require approximately $6.4\times 10^9$ years to replicate the task. This leap in processing power places the classical simulation cost six orders of magnitude beyond Google's SYC-67 and SYC-70 experiments [Nature 634, 328(2024)], firmly establishing a new benchmark in quantum computational advantage. Our work not only advances the frontiers of quantum computing but also lays the groundwork for a new era where quantum processors play an essential role in tackling sophisticated real-world challenges.