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

Quantum Numbers02:43

Quantum Numbers

50.0K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
50.0K
Valence Bond Theory02:45

Valence Bond Theory

50.2K
Overview of Valence Bond Theory
50.2K
DNA Packaging00:58

DNA Packaging

112.5K
Overview
112.5K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

57.3K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
57.3K
Chromatin Packaging01:32

Chromatin Packaging

19.2K
Each human somatic cell contains 6 billion base pairs of DNA. Each base pair is 0.34 nm long, meaning each diploid cell contains a staggering 2 meters of DNA. This long DNA strand is packed inside a nucleus measuring only 10-20 microns in diameter with the help of specialized DNA-binding proteins called histones. Together they form a compact DNA-protein complex called chromatin. The chromatin is further compacted into higher-order structures. The highest level of compaction is achieved during...
19.2K
Numerical Calculations01:24

Numerical Calculations

1.2K
In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Matrix logistic map: Fractal spectral distributions and transfer of chaos.

Chaos (Woodbury, N.Y.)·2026
Same author

Support To Rural India's Public Education System (STRIPES2) and impact on numeracy and literacy scores: A cluster randomized trial in rural villages of Madhya Pradesh, India.

PloS one·2025
Same author

Author Correction: Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms.

NPJ systems biology and applications·2025
Same author

Correction: Creation of a pandemic memory by tracing COVID-19 infections and immunity in Luxembourg (CON-VINCE).

BMC infectious diseases·2025
Same author

Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches.

Frontiers in immunology·2024
Same author

Creation of a pandemic memory by tracing COVID-19 infections and immunity in Luxembourg (CON-VINCE).

BMC infectious diseases·2024

Related Experiment Video

Updated: Jan 31, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.2K

QuantumInformation.jl-A Julia package for numerical computation in quantum information theory.

Piotr Gawron1, Dariusz Kurzyk1, Łukasz Pawela1

  • 1Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland.

Plos One
|December 27, 2018
PubMed
Summary

A new Julia language library, QuantumInformation.jl, offers tools for quantum information theory research. It aids in creating and analyzing quantum states and operations, including random sampling.

More Related Videos

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.7K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K

Related Experiment Videos

Last Updated: Jan 31, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.2K
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.7K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K

Area of Science:

  • Quantum Information Theory
  • Computational Physics
  • Scientific Computing

Background:

  • Numerical investigations are crucial in quantum information theory.
  • Existing computational tools are fragmented across various programming languages.
  • The Julia language offers advantages for numerical computation and parallel processing.

Purpose of the Study:

  • To introduce QuantumInformation.jl, a novel library for quantum information theory in Julia.
  • To provide researchers with efficient tools for quantum state and operation analysis.
  • To facilitate the creation and manipulation of quantum information objects.

Main Methods:

  • Implementation of quantum state and operation representations in Julia.
  • Development of functions for creating, analyzing, and manipulating quantum objects.
  • Inclusion of sampling functions for random quantum states and operations.

Main Results:

  • QuantumInformation.jl provides a unified platform for quantum information theory computations.
  • The library supports various representations for quantum operations.
  • Functions for sampling random quantum states, unitary operations, and quantum channels are available.

Conclusions:

  • QuantumInformation.jl enhances the capabilities of the Julia ecosystem for quantum information research.
  • The library simplifies complex quantum information tasks.
  • It offers a valuable resource for researchers leveraging Julia's performance benefits.