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Updated: Sep 1, 2025

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
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Benchmarking Information Scrambling.

Joseph Harris1,2,3, Bin Yan1,4, Nikolai A Sinitsyn1

  • 1Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.

Physical Review Letters
|August 12, 2022
PubMed
Summary
This summary is machine-generated.

We present a robust method to identify genuine information scrambling, overcoming experimental noise and errors. This approach quantifies scrambling effectiveness even in the presence of decoherence and system imperfections.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Condensed Matter Physics

Background:

  • Information scrambling describes rapid information delocalization in quantum systems via entanglement.
  • Out-of-time order correlators (OTOCs) are standard but experimentally challenging probes of scrambling.
  • Experimental OTOC measurements are susceptible to noise, including decoherence and evolution errors, leading to false positives.

Purpose of the Study:

  • To develop a reliable method for detecting genuine information scrambling.
  • To quantify the degree of quantum scrambling amidst experimental noise.
  • To benchmark scrambling protocols using a robust, noise-resilient approach.

Main Methods:

  • A novel protocol designed to isolate the signature of true information scrambling.
  • Quantification of scrambling by measuring its degree against noisy backgrounds.
  • Simulations of the developed protocol on cloud-based quantum computing platforms (IBM Quantum).

Main Results:

  • Successfully distinguished genuine scrambling signals from experimental artifacts.
  • Enabled quantitative benchmarking of scrambling processes in noisy quantum systems.
  • Demonstrated the protocol's efficacy through simulations on quantum hardware.

Conclusions:

  • The proposed method offers a robust solution for identifying and quantifying information scrambling in realistic experimental settings.
  • This work provides a crucial tool for advancing the study and application of quantum scrambling.
  • The successful demonstration on IBM Quantum highlights the practical applicability of the protocol.