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| Format: | Preprint |
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2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.11924 |
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| author | Gao, Dongxin Fan, Daojin Zha, Chen Bei, Jiahao Cai, Guoqing Cai, Jianbin Cao, Sirui Zeng, Xiangdong Chen, Fusheng Chen, Jiang Chen, Kefu Chen, Xiawei Chen, Xiqing Chen, Zhe Chen, Zhiyuan Chen, Zihua Chu, Wenhao Deng, Hui Deng, Zhibin Ding, Pei Ding, Xun Ding, Zhuzhengqi Dong, Shuai Dong, Yupeng Fan, Bo Fu, Yuanhao Gao, Song Ge, Lei Gong, Ming Gui, Jiacheng Guo, Cheng Guo, Shaojun Guo, Xiaoyang He, Tan Hong, Linyin Hu, Yisen Huang, He-Liang Huo, Yong-Heng Jiang, Tao Jiang, Zuokai Jin, Honghong Leng, Yunxiang Li, Dayu Li, Dongdong Li, Fangyu Li, Jiaqi Li, Jinjin Li, Junyan Li, Junyun Li, Na Li, Shaowei Li, Wei Li, Yuhuai Li, Yuan Liang, Futian Liang, Xuelian Liao, Nanxing Lin, Jin Lin, Weiping Liu, Dailin Liu, Hongxiu Liu, Maliang Liu, Xinyu Liu, Xuemeng Liu, Yancheng Lou, Haoxin Ma, Yuwei Meng, Lingxin Mou, Hao Nan, Kailiang Nie, Binghan Nie, Meijuan Ning, Jie Niu, Le Peng, Wenyi Qian, Haoran Rong, Hao Rong, Tao Shen, Huiyan Shen, Qiong Su, Hong Su, Feifan Sun, Chenyin Sun, Liangchao Sun, Tianzuo Sun, Yingxiu Tan, Yimeng Tan, Jun Tang, Longyue Tu, Wenbing Wan, Cai Wang, Jiafei Wang, Biao Wang, Chang Wang, Chen Wang, Chu Wang, Jian Wang, Liangyuan Wang, Rui Wang, Shengtao Wang, Xinzhe Wei, Zuolin Wei, Jiazhou Wu, Dachao Wu, Gang Wu, Jin Wu, Shengjie Wu, Yulin Xie, Shiyong Xin, Lianjie Xu, Yu Xue, Chun Yan, Kai Yang, Weifeng Yang, Xinpeng Yang, Yang Ye, Yangsen Ye, Zhenping Ying, Chong Yu, Jiale Yu, Qinjing Yu, Wenhu Zhan, Shaoyu Zhang, Feifei Zhang, Haibin Zhang, Kaili Zhang, Pan Zhang, Wen Zhang, Yiming Zhang, Yongzhuo Zhang, Lixiang Zhao, Guming Zhao, Peng Zhao, Xianhe Zhao, Xintao Zhao, Youwei Zhao, Zhong Zheng, Luyuan Zhou, Fei Zhou, Liang Zhou, Na Zhou, Naibin Zhou, Shifeng Zhou, Shuang Zhou, Zhengxiao Zhu, Chengjun Zhu, Qingling Zou, Guihong Zou, Haonan Zhang, Qiang Lu, Chao-Yang Peng, Cheng-Zhi Zhu, XiaoBo Pan, Jian-Wei |
| author_facet | Gao, Dongxin Fan, Daojin Zha, Chen Bei, Jiahao Cai, Guoqing Cai, Jianbin Cao, Sirui Zeng, Xiangdong Chen, Fusheng Chen, Jiang Chen, Kefu Chen, Xiawei Chen, Xiqing Chen, Zhe Chen, Zhiyuan Chen, Zihua Chu, Wenhao Deng, Hui Deng, Zhibin Ding, Pei Ding, Xun Ding, Zhuzhengqi Dong, Shuai Dong, Yupeng Fan, Bo Fu, Yuanhao Gao, Song Ge, Lei Gong, Ming Gui, Jiacheng Guo, Cheng Guo, Shaojun Guo, Xiaoyang He, Tan Hong, Linyin Hu, Yisen Huang, He-Liang Huo, Yong-Heng Jiang, Tao Jiang, Zuokai Jin, Honghong Leng, Yunxiang Li, Dayu Li, Dongdong Li, Fangyu Li, Jiaqi Li, Jinjin Li, Junyan Li, Junyun Li, Na Li, Shaowei Li, Wei Li, Yuhuai Li, Yuan Liang, Futian Liang, Xuelian Liao, Nanxing Lin, Jin Lin, Weiping Liu, Dailin Liu, Hongxiu Liu, Maliang Liu, Xinyu Liu, Xuemeng Liu, Yancheng Lou, Haoxin Ma, Yuwei Meng, Lingxin Mou, Hao Nan, Kailiang Nie, Binghan Nie, Meijuan Ning, Jie Niu, Le Peng, Wenyi Qian, Haoran Rong, Hao Rong, Tao Shen, Huiyan Shen, Qiong Su, Hong Su, Feifan Sun, Chenyin Sun, Liangchao Sun, Tianzuo Sun, Yingxiu Tan, Yimeng Tan, Jun Tang, Longyue Tu, Wenbing Wan, Cai Wang, Jiafei Wang, Biao Wang, Chang Wang, Chen Wang, Chu Wang, Jian Wang, Liangyuan Wang, Rui Wang, Shengtao Wang, Xinzhe Wei, Zuolin Wei, Jiazhou Wu, Dachao Wu, Gang Wu, Jin Wu, Shengjie Wu, Yulin Xie, Shiyong Xin, Lianjie Xu, Yu Xue, Chun Yan, Kai Yang, Weifeng Yang, Xinpeng Yang, Yang Ye, Yangsen Ye, Zhenping Ying, Chong Yu, Jiale Yu, Qinjing Yu, Wenhu Zhan, Shaoyu Zhang, Feifei Zhang, Haibin Zhang, Kaili Zhang, Pan Zhang, Wen Zhang, Yiming Zhang, Yongzhuo Zhang, Lixiang Zhao, Guming Zhao, Peng Zhao, Xianhe Zhao, Xintao Zhao, Youwei Zhao, Zhong Zheng, Luyuan Zhou, Fei Zhou, Liang Zhou, Na Zhou, Naibin Zhou, Shifeng Zhou, Shuang Zhou, Zhengxiao Zhu, Chengjun Zhu, Qingling Zou, Guihong Zou, Haonan Zhang, Qiang Lu, Chao-Yang Peng, Cheng-Zhi Zhu, XiaoBo Pan, Jian-Wei |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_11924 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor Gao, Dongxin Fan, Daojin Zha, Chen Bei, Jiahao Cai, Guoqing Cai, Jianbin Cao, Sirui Zeng, Xiangdong Chen, Fusheng Chen, Jiang Chen, Kefu Chen, Xiawei Chen, Xiqing Chen, Zhe Chen, Zhiyuan Chen, Zihua Chu, Wenhao Deng, Hui Deng, Zhibin Ding, Pei Ding, Xun Ding, Zhuzhengqi Dong, Shuai Dong, Yupeng Fan, Bo Fu, Yuanhao Gao, Song Ge, Lei Gong, Ming Gui, Jiacheng Guo, Cheng Guo, Shaojun Guo, Xiaoyang He, Tan Hong, Linyin Hu, Yisen Huang, He-Liang Huo, Yong-Heng Jiang, Tao Jiang, Zuokai Jin, Honghong Leng, Yunxiang Li, Dayu Li, Dongdong Li, Fangyu Li, Jiaqi Li, Jinjin Li, Junyan Li, Junyun Li, Na Li, Shaowei Li, Wei Li, Yuhuai Li, Yuan Liang, Futian Liang, Xuelian Liao, Nanxing Lin, Jin Lin, Weiping Liu, Dailin Liu, Hongxiu Liu, Maliang Liu, Xinyu Liu, Xuemeng Liu, Yancheng Lou, Haoxin Ma, Yuwei Meng, Lingxin Mou, Hao Nan, Kailiang Nie, Binghan Nie, Meijuan Ning, Jie Niu, Le Peng, Wenyi Qian, Haoran Rong, Hao Rong, Tao Shen, Huiyan Shen, Qiong Su, Hong Su, Feifan Sun, Chenyin Sun, Liangchao Sun, Tianzuo Sun, Yingxiu Tan, Yimeng Tan, Jun Tang, Longyue Tu, Wenbing Wan, Cai Wang, Jiafei Wang, Biao Wang, Chang Wang, Chen Wang, Chu Wang, Jian Wang, Liangyuan Wang, Rui Wang, Shengtao Wang, Xinzhe Wei, Zuolin Wei, Jiazhou Wu, Dachao Wu, Gang Wu, Jin Wu, Shengjie Wu, Yulin Xie, Shiyong Xin, Lianjie Xu, Yu Xue, Chun Yan, Kai Yang, Weifeng Yang, Xinpeng Yang, Yang Ye, Yangsen Ye, Zhenping Ying, Chong Yu, Jiale Yu, Qinjing Yu, Wenhu Zhan, Shaoyu Zhang, Feifei Zhang, Haibin Zhang, Kaili Zhang, Pan Zhang, Wen Zhang, Yiming Zhang, Yongzhuo Zhang, Lixiang Zhao, Guming Zhao, Peng Zhao, Xianhe Zhao, Xintao Zhao, Youwei Zhao, Zhong Zheng, Luyuan Zhou, Fei Zhou, Liang Zhou, Na Zhou, Naibin Zhou, Shifeng Zhou, Shuang Zhou, Zhengxiao Zhu, Chengjun Zhu, Qingling Zou, Guihong Zou, Haonan Zhang, Qiang Lu, Chao-Yang Peng, Cheng-Zhi Zhu, XiaoBo Pan, Jian-Wei Quantum Physics 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. |
| title | Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2412.11924 |