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arXiv 0903.3906cond-mat.mes-hall
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量子退火算法的超导电路实现

Implementation of a Quantum Annealing Algorithm Using a Superconducting Circuit

R. Harris, A. J. Berkley, J. Johansson, M. W. Johnson, T. Lanting, P. Bunyk, E. Tolkacheva, E. Ladizinsky, B. Bumble, A. Fung, A. Kaul, A. Kleinsasser, S. Han

摘要:

利用耦合复合约瑟夫森结rf-SQUID通量量子比特网络构成的电路实现了绝热量子优化算法。它示出,作为退火参数的函数的持续电流的大小的详细知识是关键,在这种特定类型的硬件上的算法的实施。实验结果对比两个退火协议,一个与一个没有积极的补偿的量子位持续电流的增长在退火过程中,为了说明这一点。

英文摘要:

A circuit consisting of a network of coupled compound Josephson junction rf-SQUID flux qubits has been used to implement an adiabatic quantum optimization algorithm. It is shown that detailed knowledge of the magnitude of the persistent current as a function of annealing parameters is key to implementation of the algorithm on this particular type of hardware. Experimental results contrasting two annealing protocols, one with and one without active compensation for the growth of the qubit persistent current during annealing, are presented in order to illustrate this point.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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