Details

Autor(en) / Beteiligte

• Zhu, Qingling
• Cao, Sirui
• Chen, Fusheng
• Chen, Ming-Cheng
• Chen, Xiawei
• Chung, Tung-Hsun
• Deng, Hui
• Du, Yajie
• Fan, Daojin
• Gong, Ming
• Guo, Cheng
• Guo, Chu
• Guo, Shaojun
• Han, Lianchen
• Hong, Linyin
• Huang, He-Liang
• Huo, Yong-Heng
• Li, Liping
• Li, Na
• Li, Shaowei
• Li, Yuan
• Liang, Futian
• Lin, Chun
• Lin, Jin
• Qian, Haoran
• Qiao, Dan
• Rong, Hao
• Su, Hong
• Sun, Lihua
• Wang, Liangyuan
• Wang, Shiyu
• Wu, Dachao
• Wu, Yulin
• Xu, Yu
• Yan, Kai
• Yang, Weifeng
• Yang, Yang
• Ye, Yangsen
• Yin, Jianghan
• Ying, Chong
• Yu, Jiale
• Zha, Chen
• Zhang, Cha
• Zhang, Haibin
• Zhang, Kaili
• Zhang, Yiming
• Zhao, Han
• Zhao, Youwei
• Zhou, Liang
• Lu, Chao-Yang
• Peng, Cheng-Zhi
• Zhu, Xiaobo
• Pan, Jian-Wei

Titel

Quantum computational advantage via 60-qubit 24-cycle random circuit sampling

Ist Teil von

• Science bulletin, 2022-02, Vol.67 (3), p.240-245

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2022

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• [Display omitted] To ensure a long-term quantum computational advantage, the quantum hardware should be upgraded to withstand the competition of continuously improved classical algorithms and hardwares. Here, we demonstrate a superconducting quantum computing systems Zuchongzhi 2.1, which has 66 qubits in a two-dimensional array in a tunable coupler architecture. The readout fidelity of Zuchongzhi 2.1 is considerably improved to an average of 97.74%. The more powerful quantum processor enables us to achieve larger-scale random quantum circuit sampling, with a system scale of up to 60 qubits and 24 cycles, and fidelity of FXEB=(3.66±0.345)×10-4. The achieved sampling task is about 6 orders of magnitude more difficult than that of Sycamore [Nature 574, 505 (2019)] in the classic simulation, and 3 orders of magnitude more difficult than the sampling task on Zuchongzhi 2.0 [arXiv:2106.14734 (2021)]. The time consumption of classically simulating random circuit sampling experiment using state-of-the-art classical algorithm and supercomputer is extended to tens of thousands of years (about 4.8×104 years), while Zuchongzhi 2.1 only takes about 4.2 h, thereby significantly enhancing the quantum computational advantage.