arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 2203.06167quant-phcond-mat.mes-hall
收藏

集总超导网络的代数正则量子化

Algebraic canonical quantization of lumped superconducting networks

I. L. Egusquiza, A. Parra-Rodriguez

摘要:

利用冗余位形空间描述,提出了一种系统的集总元件超导网络正则量子化方法。该算法是基于一个原始的,明确的,建设性的实施辛对角化的半正定哈密顿矩阵,一个特殊的例子威廉姆森定理。有了它,我们得到规范量化的离散变量描述的被动因果系统。我们将该算法与代表性的奇异电网络,黑盒量化方法的非互易扩展,以及一个典型的朗道量化问题。

英文摘要:

We present a systematic canonical quantization procedure for lumped-element superconducting networks by making use of a redundant configuration-space description. The algorithm is based on an original, explicit, and constructive implementation of the symplectic diagonalization of positive semidefinite Hamiltonian matrices, a particular instance of Williamson's theorem. With it, we derive canonically quantized discrete-variable descriptions of passive causal systems. We exemplify the algorithm with representative singular electrical networks, a nonreciprocal extension for the black-box quantization method, as well as an archetypal Landau quantization problem.

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。

↑