量子计算机
量子位元
计算机科学
量子算法
量子
物理
超导量子计算
量子排序
量子模拟器
计算科学
并行计算
量子纠错
计算机工程
量子力学
作者
Yulin Wu,Wan‐Su Bao,Sirui Cao,Fusheng Chen,Ming-Cheng Chen,Xiawei Chen,Tung-Hsun Chung,Huiqiu Deng,Yajie Du,Daojin Fan,Ming Gong,Cheng Guo,Chu Guo,Shaojun Guo,Lianchen Han,Linyin Hong,He-Liang Huang,Yong-Heng Huo,Liping Li,Na Li
标识
DOI:10.1103/physrevlett.127.180501
摘要
Scaling up to a large number of qubits with high-precision control is essential in the demonstrations of quantum computational advantage to exponentially outpace the classical hardware and algorithmic improvements. Here, we develop a two-dimensional programmable superconducting quantum processor, Zuchongzhi, which is composed of 66 functional qubits in a tunable coupling architecture. To characterize the performance of the whole system, we perform random quantum circuits sampling for benchmarking, up to a system size of 56 qubits and 20 cycles. The computational cost of the classical simulation of this task is estimated to be 2-3 orders of magnitude higher than the previous work on 53-qubit Sycamore processor [Nature 574, 505 (2019)NATUAS0028-083610.1038/s41586-019-1666-5. We estimate that the sampling task finished by Zuchongzhi in about 1.2 h will take the most powerful supercomputer at least 8 yr. Our work establishes an unambiguous quantum computational advantage that is infeasible for classical computation in a reasonable amount of time. The high-precision and programmable quantum computing platform opens a new door to explore novel many-body phenomena and implement complex quantum algorithms.
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