Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ogive Graph01:07

Ogive Graph

6.7K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.7K
Graphing Antiderivatives01:30

Graphing Antiderivatives

53
The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
53
Bar Graph01:07

Bar Graph

21.5K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
21.5K
Time-Series Graph00:54

Time-Series Graph

5.0K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
5.0K
Multiple Bar Graph01:07

Multiple Bar Graph

9.0K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
9.0K
First Derivatives and the Shape of a Graph01:22

First Derivatives and the Shape of a Graph

70
In calculus, the concept of the first derivative plays a crucial role in understanding the behavior of a function over its domain. The first derivative, denoted as f’(x), provides insight into how a function changes at any given point, much like a cyclist adjusting speed along a winding trail. By analyzing the first derivative, mathematicians can determine where a function is increasing, decreasing, or reaching critical points.The first derivative provides a precise method for classifying...
70

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Entropic order.

Nature communications·2025
Same author

Randomised controlled trial of a low plastic diet and lifestyle intervention for adults with cardiometabolic risk factors: the Plastic Exposure Reduction Transforms Health (PERTH) trial - a protocol.

BMJ open·2025
Same author

Reviving the Lieb-Schultz-Mattis theorem in open quantum systems.

National science review·2025
Same author

Quantum memory at nonzero temperature in a thermodynamically trivial system.

Nature communications·2025
Same author

Uncovering Emergent Spacetime Supersymmetry with Rydberg Atom Arrays.

Physical review letters·2024
Same author

Entangling Four Logical Qubits beyond Break-Even in a Nonlocal Code.

Physical review letters·2024
Same journal

Tau protein as a regulator of mitochondrial function and dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

A scalable, dividing cell model for the robust propagation and quantification of human sporadic Creutzfeldt-Jakob disease prions.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Epigenetic regulation of mesenchymal BMP signaling directs postnatal organ innervation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Single-shot wide-field biochemical imaging at 1 kHz frame rate.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Morphogenesis and topological evolution of a frustrated nematic liquid crystal under confinement.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

B cell-intrinsic CXCR3 drives efficient generation of ectopic pulmonary germinal center responses to influenza A virus infection.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

Related Experiment Video

Updated: Jan 27, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K

Fast scrambling on sparse graphs.

Gregory Bentsen1, Yingfei Gu2, Andrew Lucas3

  • 1Department of Physics, Stanford University, Stanford, CA 94305.

Proceedings of the National Academy of Sciences of the United States of America
|March 23, 2019
PubMed
Summary
This summary is machine-generated.

Quantum information scrambles logarithmically with system size in generic quantum systems at infinite temperature. This finding bounds scrambling time by local correlation decay, offering insights into quantum chaos and black hole analogies.

Keywords:
quantum chaosquantum entanglementquantum informationrandom graphs

More Related Videos

A New Application of the Electrical Penetration Graph EPG for Acquiring and Measuring Electrical Signals in Phloem Sieve Elements
14:16

A New Application of the Electrical Penetration Graph EPG for Acquiring and Measuring Electrical Signals in Phloem Sieve Elements

Published on: July 2, 2015

15.4K
Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
05:31

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis

Published on: September 5, 2020

6.3K

Related Experiment Videos

Last Updated: Jan 27, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
A New Application of the Electrical Penetration Graph EPG for Acquiring and Measuring Electrical Signals in Phloem Sieve Elements
14:16

A New Application of the Electrical Penetration Graph EPG for Acquiring and Measuring Electrical Signals in Phloem Sieve Elements

Published on: July 2, 2015

15.4K
Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
05:31

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis

Published on: September 5, 2020

6.3K

Area of Science:

  • Quantum Physics
  • Many-Body Systems
  • Quantum Information Theory

Background:

  • Understanding how quantum information spreads and becomes inaccessible (scrambling) is crucial for quantum many-body systems.
  • The fast-scrambling conjecture posits that scrambling time scales at least logarithmically with the number of degrees of freedom (N).

Purpose of the Study:

  • To derive a bound on the scrambling time for generic quantum systems at infinite temperature.
  • To investigate the relationship between quantum chaos and information scrambling.
  • To explore experimental methods for studying scrambling in quantum systems.

Main Methods:

  • Derivation of a scrambling time inequality for generic quantum systems.
  • Utilizing Lieb-Robinson bounds and generalized Sachdev-Ye-Kitaev (SYK) models.
  • Analysis of random unitary circuits and their properties.

Main Results:

  • A logarithmic bound on scrambling time is derived for generic quantum systems at infinite temperature.
  • Scrambling time is shown to be limited by the decay time of local quantum correlations.
  • Demonstration that logarithmic scrambling time can be achieved in systems with sparse connectivity.
  • Construction of models exhibiting quantum chaos (infinite Lyapunov exponent) but logarithmic scrambling time.

Conclusions:

  • Quantum information scrambling in generic systems at infinite temperature is bounded logarithmically.
  • Quantum chaos and scrambling are not universally linked; systems can be chaotic without fast scrambling.
  • The study provides a theoretical framework and experimental suggestions for probing quantum scrambling.