Zobrazeno 1 - 10
of 91 001
pro vyhledávání: '"mixing time"'
Autor:
Tao, Xin1 (AUTHOR) taoxin0290@link.tyut.edu.cn, Qi, Hongyu1 (AUTHOR) hyqi0414@163.com, Guo, Zhijie2 (AUTHOR) d202210640@xs.ustb.edu.cn, Wang, Jia1,3 (AUTHOR) wangjia01@tyut.edu.cn, Wang, Xiaoge4 (AUTHOR), Yang, Jundi1 (AUTHOR) yangjundi0866@link.tyut.edu.cn, Zhao, Qi1 (AUTHOR) zhaoqi0825@link.tyut.edu.cn, Lin, Wanming1 (AUTHOR) linwanming@tyut.edu.cn, Yang, Kun5 (AUTHOR) yangkun@tyut.edu.cn, Chen, Chao1 (AUTHOR) yangkun@tyut.edu.cn
Publikováno v:
Symmetry (20738994). Sep2024, Vol. 16 Issue 9, p1241. 34p.
Autor:
Ramkumar, Akshar, Soleimanifar, Mehdi
Providing evidence that quantum computers can efficiently prepare low-energy or thermal states of physically relevant interacting quantum systems is a major challenge in quantum information science. A newly developed quantum Gibbs sampling algorithm
Externí odkaz:
http://arxiv.org/abs/2411.04454
Autor:
Zheng, Yuping, Lamperski, Andrew
Spectral estimation is a fundamental problem for time series analysis, which is widely applied in economics, speech analysis, seismology, and control systems. The asymptotic convergence theory for classical, non-parametric estimators, is well-underst
Externí odkaz:
http://arxiv.org/abs/2410.02951
On the Precision of the Spectral Profile Bound for the Mixing Time of Continuous State Markov Chains
Autor:
Sichani, Elnaz Karimian, Smith, Aaron
We investigate the sharpness of the spectral profile bound presented by Goel et al. and Chen et al. on the $L^{2}$ mixing time of Markov chains on continuous state spaces. We show that the bound provided by Chen et al. is sharp up to a factor of $\lo
Externí odkaz:
http://arxiv.org/abs/2407.00749
Understanding the mixing of open quantum systems is a fundamental problem in physics and quantum information science. Existing approaches for estimating the mixing time often rely on the spectral gap estimation of the Lindbladian generator, which can
Externí odkaz:
http://arxiv.org/abs/2404.11503
Autor:
Erignoux, Clément, Massoulié, Brune
We introduce a new particle system that we call the SSEP with traps, which is non reversible, attractive, and has a transient regime. We study its \emph{transience time} $\theta_K$, meaning the time after which the system is no longer in a transient
Externí odkaz:
http://arxiv.org/abs/2403.20010
Autor:
Patel, Bhrij, Suttle, Wesley A., Koppel, Alec, Aggarwal, Vaneet, Sadler, Brian M., Bedi, Amrit Singh, Manocha, Dinesh
In the context of average-reward reinforcement learning, the requirement for oracle knowledge of the mixing time, a measure of the duration a Markov chain under a fixed policy needs to achieve its stationary distribution, poses a significant challeng
Externí odkaz:
http://arxiv.org/abs/2403.11925
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