Zobrazeno 1 - 10
of 143 701
pro vyhledávání: '"A. Krylov"'
Autor:
Chen, Xu1,2 (AUTHOR) yukchan@gdut.edu.cn, Gong, Xin-Xin1 (AUTHOR), Sun, Youfa1 (AUTHOR), Lei, Siu-Long3 (AUTHOR) sllei@um.edu.mo
Publikováno v:
Fractal & Fractional. Jun2024, Vol. 8 Issue 6, p316. 22p.
Autor:
Zhang, Ren1, Zhai, Hui2 hzhai@tsinghua.edu.cn
Publikováno v:
Quantum Frontiers. 4/11/2024, Vol. 3 Issue 1, p1-6. 6p.
Autor:
Huang, Jianyun1,2 (AUTHOR) caohongfei@nbut.edu.cn, Yang, Qiuwei2 (AUTHOR) jiwei_ma@aliyun.com, Cao, Hongfei2 (AUTHOR), Ma, Jiwei2 (AUTHOR)
Publikováno v:
Algorithms. Oct2024, Vol. 17 Issue 10, p424. 17p.
We propose a novel tridiagonalization approach for non-Hermitian random matrices and Hamiltonians using singular value decomposition (SVD). This technique leverages the real and non-negative nature of singular values, bypassing the complex eigenvalue
Externí odkaz:
http://arxiv.org/abs/2411.09309
Autor:
Fan, Zhong-Ying
In this work, we relate the growth rate of Krylov complexity in the boundary to the radial momentum of an infalling particle in AdS geometry. We show that in general AdS black hole background, our proposal captures the universal behaviors of Krylov c
Externí odkaz:
http://arxiv.org/abs/2411.04492
Autor:
Yeh, Hsiu-Chung, Mitra, Aditi
Recursion methods such as Krylov techniques map complex dynamics to an effective non-interacting problem in one dimension. For example, the operator Krylov space for Floquet dynamics can be mapped to the dynamics of an edge operator of the one-dimens
Externí odkaz:
http://arxiv.org/abs/2410.15223
Krylov complexity is an attractive measure for the rate at which quantum operators spread in the space of all possible operators under dynamical evolution. One expects that its late-time plateau would distinguish between integrable and chaotic dynami
Externí odkaz:
http://arxiv.org/abs/2409.15666
We present a matrix product operator (MPO) construction based on the tensor hypercontraction (THC) format for ab initio molecular Hamiltonians. Such an MPO construction dramatically lowers the memory requirement and cost scaling of Krylov subspace me
Externí odkaz:
http://arxiv.org/abs/2409.12708
Quantum machine learning utilizes the high-dimensional space of quantum systems, attracting significant research interest. This study employs Krylov complexity to analyze task performance in quantum machine learning. We calculate the spread complexit
Externí odkaz:
http://arxiv.org/abs/2409.12079
In this work, we investigate the Krylov complexity in quantum optical systems subject to time--dependent classical external fields. We focus on various interacting quantum optical models, including a collection of two--level atoms, photonic systems a
Externí odkaz:
http://arxiv.org/abs/2409.04156