群集状态
分束器
量子计算机
计算
物理
量子纠缠
拓扑(电路)
量子
单向量子计算机
计算机科学
量子网络
量子力学
算法
数学
组合数学
激光器
作者
Mikkel V. Larsen,Xueshi Guo,Casper R. Breum,Jonas S. Neergaard-Nielsen,Ulrik L. Andersen
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2019-10-17
卷期号:366 (6463): 369-372
被引量:377
标识
DOI:10.1126/science.aay4354
摘要
Generating large-scale cluster states The development of a practical quantum computer requires universality, scalability, and fault tolerance. Although much progress is being made in circuit platforms in which arrays of qubits are addressed and manipulated individually, scale-up of such systems is experimentally challenging. Asavanant et al. and Larsen et al. explore an alternative route: measurement-based quantum computation, which is a platform based on the generation of large-scale cluster states. As these are optically prepared and easier to handle (one simply performs local measurements on each individual component of the cluster state), such a platform is readily scalable and fault tolerant. The topology of the cluster state ensures that the approach meets the requirements for quantum computation. Science , this issue p. 373 , p. 369
科研通智能强力驱动
Strongly Powered by AbleSci AI