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

Bacterial Transformation01:33

Bacterial Transformation

60.1K
In 1928, bacteriologist Frederick Griffith worked on a vaccine for pneumonia, which is caused by Streptococcus pneumoniae bacteria. Griffith studied two pneumonia strains in mice: one pathogenic and one non-pathogenic. Only the pathogenic strain killed host mice.
Griffith made an unexpected discovery when he killed the pathogenic strain and mixed its remains with the live, non-pathogenic strain. Not only did the mixture kill host mice, but it also contained living pathogenic bacteria that...
60.1K
Ogive Graph01:07

Ogive Graph

6.8K
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...
6.8K
Graphing Antiderivatives01:30

Graphing Antiderivatives

76
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...
76
Graphs of Functions01:30

Graphs of Functions

353
Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
353
Bar Graph01:07

Bar Graph

23.0K
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...
23.0K
Time-Series Graph00:54

Time-Series Graph

5.2K
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...
5.2K

You might also read

Related Articles

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

Sort by
Same author

Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs.

NPJ quantum information·2024
Same author

Erratum: Does Ignorance of the Whole Imply Ignorance of the Parts? Large Violations of Noncontextuality in Quantum Theory [Phys. Rev. Lett. 107, 030402 (2011)].

Physical review letters·2021
Same author

Quantum internet: A vision for the road ahead.

Science (New York, N.Y.)·2018
Same author

A crossbar network for silicon quantum dot qubits.

Science advances·2018
Same author

Continuous-variable protocol for oblivious transfer in the noisy-storage model.

Nature communications·2018
Same author

Capacity estimation and verification of quantum channels with arbitrarily correlated errors.

Nature communications·2018
Same journal

Correction to: 'Stokes settling and particle-laden plumes: implications for deep-sea mining and volcanic eruption plumes' (2020), by Mingotti et al.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

A stable hothouse triggered by a tipping mechanism.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Beyond distance: quantifying point cloud dynamics with persistent homology and dynamic optimal transport.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Global stability of the Atlantic overturning circulation: edge state, long transients and boundary crisis under CO2 forcing.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Morse index classification and landscape of Kuramoto system for Hebbian-based binary pattern recognition.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Interpretable and equation-free response theory for complex systems.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
See all related articles

Related Experiment Video

Updated: Feb 10, 2026

Conventional and Threshold-Tracking Transcranial Magnetic Stimulation Tests for Single-handed Operation
08:24

Conventional and Threshold-Tracking Transcranial Magnetic Stimulation Tests for Single-handed Operation

Published on: August 16, 2021

6.5K

Transforming graph states using single-qubit operations.

Axel Dahlberg1, Stephanie Wehner2

  • 1QuTech, Lorentzweg 1, 2628 CJ Delft, The Netherlands e.a.dahlberg@tudelft.nl.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|May 30, 2018
PubMed
Summary
This summary is machine-generated.

We developed an algorithm to transform stabilizer states using Clifford operations and measurements. This quantum information processing tool efficiently maps source states to target states, with applications in quantum computing and error correction.

Keywords:
computational complexitygraph statesrank-widthsingle-qubit Clifford operationssingle-qubit Pauli measurements

More Related Videos

Microfluidic Picoliter Bioreactor for Microbial Single-cell Analysis: Fabrication, System Setup, and Operation
12:04

Microfluidic Picoliter Bioreactor for Microbial Single-cell Analysis: Fabrication, System Setup, and Operation

Published on: December 6, 2013

13.0K
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

2.2K

Related Experiment Videos

Last Updated: Feb 10, 2026

Conventional and Threshold-Tracking Transcranial Magnetic Stimulation Tests for Single-handed Operation
08:24

Conventional and Threshold-Tracking Transcranial Magnetic Stimulation Tests for Single-handed Operation

Published on: August 16, 2021

6.5K
Microfluidic Picoliter Bioreactor for Microbial Single-cell Analysis: Fabrication, System Setup, and Operation
12:04

Microfluidic Picoliter Bioreactor for Microbial Single-cell Analysis: Fabrication, System Setup, and Operation

Published on: December 6, 2013

13.0K
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

2.2K

Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Quantum Error Correction

Background:

  • Stabilizer states are crucial in quantum information and error correction.
  • Transforming between stabilizer states requires specific quantum operations.

Purpose of the Study:

  • To provide an algorithm for determining if one stabilizer state can be transformed into another using Clifford operations, measurements, and classical communication.
  • To develop a method for generating the sequence of operations for state transformation.
  • To demonstrate parallel application of operations for constant-time state preparation.

Main Methods:

  • The problem is reduced to a graph theory problem: the vertex-minor problem.
  • The vertex-minor problem is solved efficiently for graphs with bounded rank-width.
  • Algorithm based on Courcelle's techniques for fixed-parameter tractable problems.

Main Results:

  • An algorithm is presented to decide and perform transformations between stabilizer states.
  • The transformation problem is shown to be equivalent to the vertex-minor problem in graph theory.
  • The vertex-minor problem is solved in O(|G|^3) time for bounded rank-width graphs.

Conclusions:

  • The algorithm offers a practical tool for quantum networks, computing, and designing transformations between quantum error correcting codes.
  • A software implementation is provided for easier application of the algorithm.
  • The study highlights the connection between quantum information problems and graph theory, specifically rank-width.