Onset of random matrix behavior in scrambling systems

By Hrant Gharibyan, Masanori Hanada, S. Shenker, Masaki Tezuka. Journal of High Energy Physics, 2018

200 citations recorded by the source corpus.

A bstractThe fine grained energy spectrum of quantum chaotic systems is widely believed to be described by random matrix statistics. A basic scale in such a system is the energy range over which this behavior persists. We define the corresponding time scale by the time at which the linearly growing ramp region in the spectral form factor begins. We call this time tramp. The purpose of this paper is to study this scale in many-body quantum systems that display strong chaos, sometimes called scrambling systems. We focus on randomly coupled qubit systems, both local and k-local (all-to-all interactions) and the Sachdev-Ye-Kitaev (SYK) model. Using numerical results, analytic estimates for random quantum circuits, and a heuristic analysis of Hamiltonian systems we find the following results. For geometrically local systems with a conservation law we find tramp is determined by the diffusion time across the system, order N2 for a 1D chain of N qubits. This is analogous to the behavior found for local one-body chaotic systems. For a k-local system like SYK the time is order log N but with a different prefactor and a different mechanism than the scrambling time. In the absence of any conservation laws, as in a generic random quantum circuit, we find tramp ∼ log N, independent of connectivity.

Subfields: Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/514e068cb1ceefb7f22661aeef7d6291154fe261

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In Atomic and Molecular Physics, and Optics

  1. Phil Saad
  2. S. Shenker
  3. D. Stanford
  4. M. Berkooz
  5. L. Susskind
  6. D. Harlow
  7. Zhenbin Yang
  8. Jordan S. Cotler

In Condensed Matter Physics

  1. Phil Saad
  2. S. Shenker
  3. D. Stanford

In Statistical and Nonlinear Physics

  1. Phil Saad
  2. D. Stanford
  3. S. Shenker
  4. M. Berkooz
  5. Genís Torrents
  6. Mikhail Isachenkov
  7. Vladimir Narovlansky
  8. Jordan S. Cotler

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