Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Hua, Ziyue"'
Autor:
Cai, Weizhou, Zhang, Jing-Ning, Hua, Ziyue, Wang, Weiting, Pan, Xiaoxuan, Liu, Xinyu, Ma, Yuwei, Hu, Ling, Mu, Xianghao, Wang, Haiyan, Song, Yipu, Zou, Chang-Ling, Sun, Luyan
The discrimination of quantum operations has long been an intriguing challenge, with theoretical research significantly advancing our understanding of the quantum features in discriminating quantum objects. This challenge is closely related to the di
Externí odkaz:
http://arxiv.org/abs/2404.13317
Autor:
Li, Linyi, Geng, Shijie, Li, Zhenwen, He, Yibo, Yu, Hao, Hua, Ziyue, Ning, Guanghan, Wang, Siwei, Xie, Tao, Yang, Hongxia
Large Language Models for code (code LLMs) have witnessed tremendous progress in recent years. With the rapid development of code LLMs, many popular evaluation benchmarks, such as HumanEval, DS-1000, and MBPP, have emerged to measure the performance
Externí odkaz:
http://arxiv.org/abs/2404.07940
Reducing test inputs that trigger bugs is crucial for efficient debugging. Delta debugging is the most popular approach for this purpose. When test inputs need to conform to certain specifications, existing delta debugging practice encounters a valid
Externí odkaz:
http://arxiv.org/abs/2402.04623
Autor:
Cai, Weizhou, Mu, Xianghao, Wang, Weiting, Zhou, Jie, Ma, Yuwei, Pan, Xiaoxuan, Hua, Ziyue, Liu, Xinyu, Xue, Guangming, Yu, Haifeng, Wang, Haiyan, Song, Yipu, Zou, Chang-Ling, Sun, Luyan
Entanglement represents one of the most important conceptual advances in physics during the last century and is also one of the most essential resources in quantum information science. However, entanglement is fragile and its potential advantages in
Externí odkaz:
http://arxiv.org/abs/2302.13027
Autor:
Pan, Xiaoxuan, Lu, Zhide, Wang, Weiting, Hua, Ziyue, Xu, Yifang, Li, Weikang, Cai, Weizhou, Li, Xuegang, Wang, Haiyan, Song, Yi-Pu, Zou, Chang-Ling, Deng, Dong-Ling, Sun, Luyan
Publikováno v:
Nature Communications volume 14, Article number: 4006 (2023)
Deep learning and quantum computing have achieved dramatic progresses in recent years. The interplay between these two fast-growing fields gives rise to a new research frontier of quantum machine learning. In this work, we report the first experiment
Externí odkaz:
http://arxiv.org/abs/2212.02521
Graph database engines stand out in the era of big data for their efficiency of modeling and processing linked data. There is a strong need of testing graph database engines. However, random testing, the most practical way of automated test generatio
Externí odkaz:
http://arxiv.org/abs/2206.08530
Autor:
Pan, Xiaoxuan, Cao, Xi, Wang, Weiting, Hua, Ziyue, Cai, Weizhou, Li, Xuegang, Wang, Haiyan, Hu, Jiaqi, Song, Yipu, Deng, Dong-Ling, Zou, Chang-Ling, Wu, Re-Bing, Sun, Luyan
Machine learning can be substantially powered by a quantum computer owing to its huge Hilbert space and inherent quantum parallelism. In the pursuit of quantum advantages for machine learning with noisy intermediate-scale quantum devices, it was prop
Externí odkaz:
http://arxiv.org/abs/2203.09080
Autor:
Zhang, Yingshan, Xu, Huikai, Song, Yu, Xu, Yuqun, Yang, Shuang, Hua, Ziyue, Zhao, Shoukuan, Liu, Weiyang, Xue, Guangming, Jin, Yirong, Yu, Haifeng
Publikováno v:
In Chip December 2023 2(4)
Autor:
Cai, Weizhou, Han, Jiaxiu, Hu, Ling, Ma, Yuwei, Mu, Xianghao, Wang, Weiting, Xu, Yuan, Hua, Ziyue, Wang, Haiyan, Song, Yipu, Zhang, Jingning, Zou, Changling, Sun, Luyan
Publikováno v:
Phys. Rev. Lett. 127, 090504 (2021)
The ability to manipulate quantum systems lies at the heart of the development of quantum technology. The ultimate goal of quantum control is to realize arbitrary quantum operations (AQuOs) for all possible open quantum system dynamics. However, the
Externí odkaz:
http://arxiv.org/abs/2010.11427
Autor:
Xu, Yuan, Hua, Ziyue, Chen, Tao, Pan, Xiaoxuan, Li, Xuegang, Han, Jiaxiu, Cai, Weizhou, Ma, Yuwei, Wang, Haiyan, Song, Yipu, Xue, Zheng-Yuan, Sun, Luyan
Publikováno v:
Phys. Rev. Lett. 124, 230503 (2020)
Using geometric phases to realize noise-resilient quantum computing is an important method to enhance the control fidelity. In this work, we experimentally realize a universal nonadiabatic geometric quantum gate set in a superconducting qubit chain.
Externí odkaz:
http://arxiv.org/abs/1910.12271