量子计算机
计算机科学
可扩展性
量子算法
实现(概率)
量子位元
量子
算法
保理
量子排序
并行计算
理论计算机科学
量子网络
数学
量子力学
物理
统计
数据库
财务
经济
作者
Thomas Monz,Daniel Nigg,Esteban A. Martinez,Matthias F. Brandl,Philipp Schindler,Richard Rines,Shannon X. Wang,Isaac L. Chuang,R. Blatt
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2016-03-03
卷期号:351 (6277): 1068-1070
被引量:420
标识
DOI:10.1126/science.aad9480
摘要
Quantum computers are able to outperform classical algorithms. This was long recognized by the visionary Richard Feynman who pointed out in the 1980s that quantum mechanical problems were better solved with quantum machines. It was only in 1994 that Peter Shor came up with an algorithm that is able to calculate the prime factors of a large number vastly more efficiently than known possible with a classical computer. This paradigmatic algorithm stimulated the flourishing research in quantum information processing and the quest for an actual implementation of a quantum computer. Over the last fifteen years, using skillful optimizations, several instances of a Shor algorithm have been implemented on various platforms and clearly proved the feasibility of quantum factoring. For general scalability, though, a different approach has to be pursued. Here, we report the realization of a fully scalable Shor algorithm as proposed by Kitaev. For this, we demonstrate factoring the number fifteen by effectively employing and controlling seven qubits and four "cache-qubits", together with the implementation of generalized arithmetic operations, known as modular multipliers. The scalable algorithm has been realized with an ion-trap quantum computer exhibiting success probabilities in excess of 90%.
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