Quasiprobability behind the out-of-time-ordered correlator

Nicole Yunger Halpern, Brian Swingle, and Justin Dressel
Phys. Rev. A 97, 042105 – Published 10 April 2018

Abstract

Two topics, evolving rapidly in separate fields, were combined recently: the out-of-time-ordered correlator (OTOC) signals quantum-information scrambling in many-body systems. The Kirkwood-Dirac (KD) quasiprobability represents operators in quantum optics. The OTOC was shown to equal a moment of a summed quasiprobability [Yunger Halpern, Phys. Rev. A 95, 012120 (2017)]. That quasiprobability, we argue, is an extension of the KD distribution. We explore the quasiprobability's structure from experimental, numerical, and theoretical perspectives. First, we simplify and analyze Yunger Halpern's weak-measurement and interference protocols for measuring the OTOC and its quasiprobability. We decrease, exponentially in system size, the number of trials required to infer the OTOC from weak measurements. We also construct a circuit for implementing the weak-measurement scheme. Next, we calculate the quasiprobability (after coarse graining) numerically and analytically: we simulate a transverse-field Ising model first. Then, we calculate the quasiprobability averaged over random circuits, which model chaotic dynamics. The quasiprobability, we find, distinguishes chaotic from integrable regimes. We observe nonclassical behaviors: the quasiprobability typically has negative components. It becomes nonreal in some regimes. The onset of scrambling breaks a symmetry that bifurcates the quasiprobability, as in classical-chaos pitchforks. Finally, we present mathematical properties. We define an extended KD quasiprobability that generalizes the KD distribution. The quasiprobability obeys a Bayes-type theorem, for example, that exponentially decreases the memory required to calculate weak values, in certain cases. A time-ordered correlator analogous to the OTOC, insensitive to quantum-information scrambling, depends on a quasiprobability closer to a classical probability. This work not only illuminates the OTOC's underpinnings, but also generalizes quasiprobability theory and motivates immediate-future weak-measurement challenges.

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  • Received 13 April 2017

DOI:https://doi.org/10.1103/PhysRevA.97.042105

©2018 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & OpticalCondensed Matter, Materials & Applied PhysicsQuantum Information, Science & Technology

Authors & Affiliations

Nicole Yunger Halpern1,*, Brian Swingle2,3,4, and Justin Dressel5,6

  • 1Institute for Quantum Information and Matter, Caltech, Pasadena, California 91125, USA
  • 2Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 3Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
  • 4Department of Physics, Brandeis University, Waltham, Massachusetts 02453, USA
  • 5Institute for Quantum Studies, Chapman University, Orange, California 92866, USA
  • 6Schmid College of Science and Technology, Chapman University, Orange, California 92866, USA

  • *nicoleyh.11@gmail.com

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Issue

Vol. 97, Iss. 4 — April 2018

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