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

50.5K
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.
50.5K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

57.7K
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.
57.7K
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

1.4K
Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
1.4K
Half-life of a Reaction02:42

Half-life of a Reaction

39.1K
The half-life of a reaction (t1/2) is the time required for one-half of a given amount of reactant to be consumed. In each succeeding half-life, half of the remaining concentration of the reactant is consumed. For example, during the decomposition of hydrogen peroxide, during the first half-life (from 0.00 hours to 6.00 hours), the concentration of H2O2 decreases from 1.000 M to 0.500 M. During the second half-life (from 6.00 hours to 12.00 hours), the concentration decreases from 0.500 M to...
39.1K
Characteristics of Life01:23

Characteristics of Life

261.6K
Biology is a natural science that studies life and living organisms, including their structure, function, development, interactions, evolution, distribution, and taxonomy. The field's scope is extensive and divided into several specialized disciplines, such as anatomy, physiology, ethology, genetics, and many more. All living things share a few key traits, including cellular organization, heritable genetic material and the ability to adapt/evolve, metabolism to regulate energy needs, the...
261.6K
The Angiosperm Life Cycle02:39

The Angiosperm Life Cycle

72.6K
Plants have a life cycle split between two multicellular stages: a haploid stage—with cells containing one set of chromosomes—and a diploid stage—with cells containing two sets of chromosomes. The haploid stage is the gamete-producing gametophyte, and the diploid stage is the spore-producing sporophyte.
72.6K

You might also read

Related Articles

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

Sort by
Same author

Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer.

Entropy (Basel, Switzerland)·2023
Same author

Quantum Phase Transitions for an Integrable Quantum Rabi-like Model with Two Interacting Qubits.

Physical review letters·2023
Same author

Quantum Simulation of the Bosonic Creutz Ladder with a Parametric Cavity.

Physical review letters·2021
Same author

Experimental semi-autonomous eigensolver using reinforcement learning.

Scientific reports·2021
Same author

Speeding up quantum perceptron via shortcuts to adiabaticity.

Scientific reports·2021
Same author

Quantum Memristors in Frequency-Entangled Optical Fields.

Materials (Basel, Switzerland)·2020
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Feb 4, 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

Quantum Artificial Life in an IBM Quantum Computer.

U Alvarez-Rodriguez1,2,3, M Sanz3, L Lamata4

  • 1Basque Centre for Climate Change (BC3), 48940, Leioa, Spain.

Scientific Reports
|October 6, 2018
PubMed
Summary
This summary is machine-generated.

Researchers created the first quantum artificial life algorithm on a quantum computer. This quantum biomimetic protocol demonstrated self-replication and inheritance of quantum information across generations, paving the way for quantum artificial intelligence.

More Related Videos

Production and Targeting of Monovalent Quantum Dots
10:16

Production and Targeting of Monovalent Quantum Dots

Published on: October 23, 2014

26.1K
Determination of the Photoisomerization Quantum Yield of a Hydrazone Photoswitch
09:33

Determination of the Photoisomerization Quantum Yield of a Hydrazone Photoswitch

Published on: February 7, 2022

3.9K

Related Experiment Videos

Last Updated: Feb 4, 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
Production and Targeting of Monovalent Quantum Dots
10:16

Production and Targeting of Monovalent Quantum Dots

Published on: October 23, 2014

26.1K
Determination of the Photoisomerization Quantum Yield of a Hydrazone Photoswitch
09:33

Determination of the Photoisomerization Quantum Yield of a Hydrazone Photoswitch

Published on: February 7, 2022

3.9K

Area of Science:

  • Quantum Computing
  • Artificial Life
  • Quantum Biomimetics

Background:

  • Classical computers face limitations in simulating complex quantum systems.
  • Artificial life algorithms mimic biological processes but are computationally intensive.
  • Quantum computing offers a novel platform for exploring complex algorithms.

Purpose of the Study:

  • To experimentally realize a quantum artificial life algorithm on a quantum computer.
  • To encode and observe quantum behaviors such as self-replication and mutation.
  • To investigate the inheritance of quantum information through genealogical networks.

Main Methods:

  • Implementation of a quantum biomimetic protocol on the IBM ibmqx4 cloud quantum computer.
  • Encoding of life-like behaviors (replication, mutation, interaction, death) into quantum states.
  • Utilizing quantum entanglement to represent information transfer across generations.

Main Results:

  • Successful experimental demonstration of a quantum artificial life algorithm.
  • Observation of entanglement spreading across generations of quantum individuals.
  • Accurate fitting of experimental data to the ideal quantum model.

Conclusions:

  • This work represents a pioneering proof-of-principle for quantum artificial life.
  • Quantum computers can host complex biomimetic algorithms with emergent quantum behaviors.
  • Future exploration in quantum artificial intelligence and quantum machine learning is enabled.