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

The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

42.5K
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.
42.5K
Electronic Structure of Atoms02:28

Electronic Structure of Atoms

21.5K

An atom comprises protons and neutrons, which are contained inside the dense, central core called the nucleus, with electrons present around the nucleus. Taking into account the wave–particle duality of electrons and the uncertainty in position around the nucleus, quantum mechanics provides a more accurate model for the atomic structure. It describes atomic orbitals as the regions around the nucleus where electrons of discrete energy exist, characterized by four quantum...
21.5K
Atomic Nuclei: Nuclear Spin State Population Distribution01:14

Atomic Nuclei: Nuclear Spin State Population Distribution

1.0K
Near absolute zero temperatures, in the presence of a magnetic field, the majority of nuclei prefer the lower energy spin-up state to the higher energy spin-down state. As temperatures increase, the energy from thermal collisions distributes the spins more equally between the two states. The Boltzmann distribution equation gives the ratio of the number of spins predicted in the spin −½ (N−) and spin +½ (N+) states.
1.0K
Atomic Nuclei: Nuclear Spin01:08

Atomic Nuclei: Nuclear Spin

2.0K
All atomic particles possess an intrinsic angular momentum, or 'spin'. Electrons, protons, and neutrons each have a spin value of ½, although protons and neutrons in nuclei may have higher half-integer spins owing to energetic factors.
Atomic nuclei have a net nuclear spin, , which can have an integer or half-integer value. In atomic nuclei, the spins of protons are paired against each other but not with neutrons, and vice versa. Consequently, an even number of protons does not...
2.0K
Atomic Nuclei: Nuclear Spin State Overview01:03

Atomic Nuclei: Nuclear Spin State Overview

1.0K
NMR-active nuclei have energy levels called 'spin states' that are associated with the orientations of their nuclear magnetic moments. In the absence of a magnetic field, the nuclear magnetic moments are randomly oriented, and the spin states are degenerate. When an external magnetic field is applied, the spin states have only 2 + 1 orientations available to them. A proton with = ½ has two available orientations. Similarly, for a quadrupolar nucleus with a nuclear spin value of...
1.0K
Electron Orbital Model01:18

Electron Orbital Model

68.0K
Orbitals are the areas outside of the atomic nucleus where electrons are most likely to reside. They are characterized by different energy levels, shapes, and three-dimensional orientations. The location of electrons is described most generally by a shell or principal energy level, then by a subshell within each shell, and finally, by individual orbitals found within the subshells.
The first shell is closest to the nucleus, and it has only one subshell with a single spherical orbital called the...
68.0K

You might also read

Related Articles

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

Sort by
Same author

Ab Initio Uncertainty Quantification of Neutrinoless Double-Beta Decay in ^{76}Ge.

Physical review letters·2024
Same author

EURADOS ISO/IEC 17025 guidance for IMS: suggestions on how to interpret and implement the requirements including examples from accredited laboratories.

Radiation protection dosimetry·2023
Same author

Knowledge of the Brain Death Concept Among Older People.

Transplantation proceedings·2020
Same author

Psoas Muscle Index Does Not Predict Post-Transplant Outcomes: A Series of 57 Liver Transplant Recipients.

Transplantation proceedings·2020
Same author

Impact of Hepatic Artery Thrombosis on the Success of a Liver Transplant Because of Hepatocellular Carcinoma.

Transplantation proceedings·2020
Same author

Tolerance to ozone might impose restrictions to plant disease management in tomato.

Plant biology (Stuttgart, Germany)·2019
Same journal

Integrated multi-assessment and structural performance index framework for stacking-sequence optimisation of natural fibre reinforced laminates.

Scientific reports·2026
Same journal

SuperiorGAT: graph attention networks for sparse LiDAR point cloud reconstruction in autonomous systems.

Scientific reports·2026
Same journal

The effect of stretching the pectoralis major, sternocleidomastoid, and iliopsoas muscles on 800 m swimming performance in master swimmers.

Scientific reports·2026
Same journal

ISNR-PQC: isometry noise resilience post quantum cryptography primitive.

Scientific reports·2026
Same journal

Identification of high-yielding and stable genotypes of barley in the cold climate of Iran using AMMI and GGE biplot models.

Scientific reports·2026
Same journal

Bayesian negative binomial modelling of spatial and temporal patterns of road traffic deaths in Ghana.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jul 20, 2025

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

604

Nuclear shell-model simulation in digital quantum computers.

A Pérez-Obiol1, A M Romero2,3, J Menéndez4,5

  • 1Barcelona Supercomputing Center, 08034, Barcelona, Spain. axel.perezobiol@bsc.es.

Scientific Reports
|July 29, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a quantum circuit design for the nuclear shell model, overcoming computational limits. The quantum approach accurately simulates nuclear ground states, promising advancements in nuclear physics and quantum computing applications.

More Related Videos

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

9.7K
Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

12.0K

Related Experiment Videos

Last Updated: Jul 20, 2025

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

604
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

9.7K
Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

12.0K

Area of Science:

  • Nuclear Physics
  • Quantum Computing
  • Computational Chemistry

Background:

  • The nuclear shell model is a key method for understanding atomic nuclei structure.
  • Exponential scaling of basis size with particle number limits classical shell model simulations.
  • Efficient methods are needed to overcome these computational challenges.

Purpose of the Study:

  • To develop a quantum circuit design strategy for nuclear ground state calculations using the shell model.
  • To leverage an adaptive variational quantum eigensolver algorithm for enhanced accuracy and efficiency.
  • To quantify quantum resources required for realistic nuclear shell model simulations.

Main Methods:

  • A novel shell-model quantum circuit design strategy was developed.
  • An adaptive variational quantum eigensolver algorithm was employed.
  • Simulations were performed for light and medium-mass nuclei, including neon and calcium isotopes.

Main Results:

  • Quantum circuit implementations showed excellent agreement with classical shell model simulations.
  • Circuit depth, width, and gate counts were quantified for encoding nuclear wavefunctions.
  • Simulated circuits achieved benchmark results with polynomial scaling in quantum resources.

Conclusions:

  • The proposed strategy enables quantum computing for shell model studies across the nuclear chart.
  • Quantum resource quantification is valuable for configuration-interaction calculations in fermionic systems.
  • This work bridges quantum computing and nuclear structure theory.