most citedAchieving Energetic Superiority Through System-Level Quantum Circuit Simulation

2 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

quant-ph2025

Enhanced Image Recognition Using Gaussian Boson Sampling

Si-Qiu Gong, Ming-Cheng Chen, Hua-Liang Liu +13

Gaussian boson sampling (GBS) has emerged as a promising quantum computing paradigm, demonstrating its potential in various applications. However, most existing works focus on theo…

quant-ph20242 cited

Achieving Energetic Superiority Through System-Level Quantum Circuit Simulation

Rong Fu, Zhongling Su, Han-Sen Zhong +11

Quantum Computational Superiority boasts rapid computation and high energy efficiency. Despite recent advances in classical algorithms aimed at refuting the milestone claim of Goog…

quant-ph20241 cited

Leapfrogging Sycamore: Harnessing 1432 GPUs for 7 Faster Quantum Random Circuit Sampling

Xian-He Zhao, Han-Sen Zhong, Feng Pan +10

Random quantum circuit sampling serves as a benchmark to demonstrate quantum computational advantage. Recent progress in classical algorithms, especially those based on tensor netw…

cs.CL20241 cited

Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Jie Liu, Zhanhui Zhou, Jiaheng Liu +4

Direct Preference Optimization (DPO), a standard method for aligning language models with human preferences, is traditionally applied to offline preferences. Recent studies show th…

cs.CV2024

LOCR: Location-Guided Transformer for Optical Character Recognition

Yu Sun, Dongzhan Zhou, Chen Lin +3

Academic documents are packed with texts, equations, tables, and figures, requiring comprehensive understanding for accurate Optical Character Recognition (OCR). While end-to-end O…

cs.LG2024

Self-consistent Validation for Machine Learning Electronic Structure

Gengyuan Hu, Gengchen Wei, Zekun Lou +4

Machine learning has emerged as a significant approach to efficiently tackle electronic structure problems. Despite its potential, there is less guarantee for the model to generali…