Jove
Visualize
Contact Us

Related Concept Videos

Motion Of A Charged Particle In A Magnetic Field01:22

Motion Of A Charged Particle In A Magnetic Field

5.5K
A charged particle experiences a force when moving through a magnetic field. Consider the field to be uniform and the charged particle to move perpendicular to it. If the field is in a vacuum, the magnetic field is the dominant factor determining the motion. Since the magnetic force is perpendicular to the direction of motion, a charged particle follows a curved path. The particle continues to follow this curved path until it forms a complete circle. Another way to look at this is that the...
5.5K
Mass Analyzers: Common Types01:19

Mass Analyzers: Common Types

867
The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
867
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.4K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.4K

You might also read

Related Articles

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

Sort by
Same author

The scientific potential and technological challenges of the High-Luminosity Large Hadron Collider program.

Reports on progress in physics. Physical Society (Great Britain)·2022
Same journal

Inverse FIP effect plasma in the solar atmosphere: a synthesis of current understanding and new insights from AR 11967.

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

Signs of sulfur fractionation under high magnetic field strength.

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

First ionization potential fractionation of sulfur observed with spectral imaging of the coronal environment.

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

Chromospheric dynamics and turbulence regulate the solar FIP effect.

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

Exploring the link between wave activity in the photospheric velocity driver and the FIP bias in the solar corona.

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

Radiative hydrodynamic simulations of first ionization potential fractionation in solar flares.

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

Updated: Oct 9, 2025

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

15.1K

Quantum pattern recognition algorithms for charged particle tracking.

H M Gray1,2

  • 1Physics Department, University of California, Berkeley, CA 947200, USA.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|December 20, 2021
PubMed
Summary
This summary is machine-generated.

Quantum computing may solve high-energy physics data challenges. This review explores quantum algorithms for tracking charged particles, crucial for future collider experiments.

Keywords:
pattern recognitionquantum computingquantum machine learningtrack reconstruction

More Related Videos

Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.1K
Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

12.4K

Related Experiment Videos

Last Updated: Oct 9, 2025

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

15.1K
Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.1K
Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

12.4K

Area of Science:

  • High-energy physics
  • Quantum computing
  • Computational science

Background:

  • Upcoming High-Luminosity Large Hadron Collider and future colliders will generate unprecedented data volumes.
  • Accurate charged particle trajectory reconstruction is vital for event reconstruction in high-energy physics.
  • Current pattern recognition algorithms face significant computational challenges with increasing dataset sizes.

Purpose of the Study:

  • To review the current state of quantum computing applications for charged particle pattern recognition in high-energy physics.
  • To assess the potential of quantum algorithms to address the computational demands of future collider experiments.
  • To highlight the role of quantum technologies in advancing particle physics research.

Main Methods:

  • Review of existing literature on quantum computing algorithms applied to pattern recognition tasks.
  • Analysis of studies focusing on quantum approaches for charged particle tracking.
  • Exploration of the potential benefits and challenges of implementing quantum solutions in high-energy physics data processing.

Main Results:

  • Quantum computing presents a promising avenue for tackling the computational bottleneck in high-energy physics data analysis.
  • Several quantum algorithms are being investigated for their potential to outperform classical methods in pattern recognition.
  • The rapid development of quantum computing hardware and algorithms suggests feasibility for future applications.

Conclusions:

  • Quantum computing offers a potential solution to the escalating computational challenges in high-energy physics data reconstruction.
  • Further research and development are needed to fully realize the capabilities of quantum algorithms for charged particle pattern recognition.
  • Quantum technologies are poised to play a significant role in the future of particle physics research.