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相关论文: Operator growth in the SYK model

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Under the Heisenberg evolution in chaotic quantum systems, initially simple operators evolve into complicated ones and ultimately cover the whole operator space. We study the growth of the operator ``size'' in this process, which is related…

强关联电子 · 物理学 2023-10-11 Pengfei Zhang , Yingfei Gu

In many-body chaotic systems, the size of an operator generically grows in Heisenberg evolution, which can be measured by certain out-of-time-ordered four-point functions. However, these only provide a coarse probe of the full underlying…

高能物理 - 理论 · 物理学 2019-11-18 Xiao-Liang Qi , Alexandre Streicher

We prove non-perturbative bounds on the time evolution of the probability distribution of operator size in the $q$-local Sachdev-Ye-Kitaev model with $N$ fermions, for any even integer $q>2$ and any positive even integer $N>2q$. If the…

高能物理 - 理论 · 物理学 2020-08-06 Andrew Lucas

Information scrambling refers to the phenomenon in which local quantum information in a many-body system becomes dispersed throughout the entire system under unitary evolution. It has been extensively studied in closed quantum systems,…

量子物理 · 物理学 2025-04-17 Haolin Jiang , Pengfei Zhang

The concept of information scrambling elucidates the dispersion of local information in quantum many-body systems, offering insights into various physical phenomena such as wormhole teleportation. This phenomenon has spurred extensive…

量子物理 · 物理学 2024-12-02 Tian-Gang Zhou , Yingfei Gu , Pengfei Zhang

We investigate operator growth in a Brownian spin Sachdev--Ye--Kitaev (SYK) model with random all-to-all interactions, focusing on the full operator-size distribution. For Hamiltonians containing interactions of order two up to $L$, we…

量子物理 · 物理学 2026-02-20 Tingfei Li , Miao Wang , Jianghui Yu

We investigate the growth of operator size in the Lindbladian Sachdev-Ye-Kitaev model with $q$-body interaction terms and linear jump terms at finite dissipation strength. We compute the operator size as well as its distribution numerically…

高能物理 - 理论 · 物理学 2024-08-19 Jiasheng Liu , Rene Meyer , Zhuo-Yu Xian

The dynamical spreading of quantum information through a many-body system, typically called scrambling, is a complex process that has proven to be essential to describe many properties of out-of-equilibrium quantum systems. Scrambling can,…

量子物理 · 物理学 2024-03-22 Philip Daniel Blocher , Karthik Chinni , Sivaprasad Omanakuttan , Pablo M. Poggi

Scrambling is a key concept in the analysis of nonequilibrium properties of quantum many-body systems. Most studies focus on its characterization via out-of-time-ordered correlation functions (OTOCs), particularly through the early-time…

量子物理 · 物理学 2023-04-14 Sivaprasad Omanakuttan , Karthik Chinni , Philip Daniel Blocher , Pablo M. Poggi

Commonly, the notion of "quantum chaos'' refers to the fast scrambling of information throughout complex quantum systems undergoing unitary evolution. Motivated by the Krylov complexity and the operator growth hypothesis, we demonstrate…

量子物理 · 物理学 2024-09-19 Eoin Carolan , Anthony Kiely , Steve Campbell , Sebastian Deffner

We study upper bounds on the growth of operator entropy $S_K$ in operator growth. Using uncertainty relation, we first prove a dispersion bound on the growth rate $|\partial_t S_K|\leq 2b_1 \Delta S_K$, where $b_1$ is the first Lanczos…

高能物理 - 理论 · 物理学 2022-09-07 Zhong-Ying Fan

Quantum scrambling plays an important role in understanding thermalization in closed quantum systems. By this effect, quantum information spreads throughout the system and becomes hidden in the form of non-local correlations. Alternatively,…

量子物理 · 物理学 2023-03-22 Alessio Paviglianiti , Soumik Bandyopadhyay , Philipp Uhrich , Philipp Hauke

The study of quantum gravity in the form of the holographic duality has uncovered and motivated the detailed investigation of various diagnostics of quantum chaos. One such measure is the operator size distribution, which characterizes the…

高能物理 - 理论 · 物理学 2020-10-19 Yuri D. Lensky , Xiao-Liang Qi , Pengfei Zhang

In closed generic many-body systems, unitary evolution disperses local quantum information into highly non-local objects, resulting in thermalization. Such a process is called information scrambling, whose swiftness is quantified by the…

量子物理 · 物理学 2024-03-12 Pengfei Zhang , Zhenhua Yu

We study operator dynamics in Brownian quantum many-body models with $q$-local interactions. The operator dynamics are characterized by the time-dependent size distribution, for which we derive an exact master equation in both the Brownian…

量子物理 · 物理学 2025-04-24 Shenglong Xu

We study the operator growth in open quantum systems with dephasing dissipation terms, extending the Krylov complexity formalism of Phys. Rev. X 9, 041017. Our results are based on the study of the dissipative $q$-body Sachdev-Ye-Kitaev…

量子物理 · 物理学 2023-03-10 Budhaditya Bhattacharjee , Xiangyu Cao , Pratik Nandy , Tanay Pathak

We present a generalization of the dynamical model of information transmission and herd behavior proposed by Eguiluz and Zimmermann. A characteristic size of group of agents $s_{0}$ is introduced. The fragmentation and coagulation rates of…

统计力学 · 物理学 2009-11-07 Dafang Zheng , G. J. Rodgers , P. M. Hui

We use Krylov complexity to study operator growth in the $q$-body dissipative SYK model, where the dissipation is modeled by linear and random $p$-body Lindblad operators. In the large $q$ limit, we analytically establish the linear growth…

量子物理 · 物理学 2024-01-18 Budhaditya Bhattacharjee , Pratik Nandy , Tanay Pathak

Thermodynamic stability of statistical systems requires that susceptibilities be semipositive and finite. Susceptibilities are known to be related to the fluctuations of extensive observable quantities. This relation becomes nontrivial,…

统计力学 · 物理学 2009-11-11 V. I. Yukalov

This paper investigates the temperature dependence of quantum information scrambling in local systems with an energy gap, $m$, above the ground state. We study the speed and shape of growing Heisenberg operators as quantified by…

统计力学 · 物理学 2020-11-11 Subhayan Sahu , Brian Swingle
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