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

42.1K
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.
42.1K
Hybridization of Atomic Orbitals II03:35

Hybridization of Atomic Orbitals II

31.9K
sp3d and sp3d 2 Hybridization
31.9K
Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

46.7K
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
46.7K
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.0K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.0K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.5K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.5K
Structure of Benzene: Kekulé Model01:07

Structure of Benzene: Kekulé Model

8.7K
In 1865, August Kekule suggested the structure of benzene according to the structural theory of organic chemistry based on the three assertions—formula of benzene is C6H6, all the hydrogens of benzene are equivalent, and each carbon must have four bonds due to its tetravalency.
He proposed that benzene has a cyclic structure of six carbon atoms attached to one hydrogen atom each, with three alternating pi bonds.
8.7K

You might also read

Related Articles

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

Sort by
Same author

[A seroepidemiologic analysis of hepatitis B in Sichuan province].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2009
Same author

[Efficacy and safety of drospirenone-ethinylestradiol on contraception in healthy Chinese women: a multicenter randomized controlled trial].

Zhonghua fu chan ke za zhi·2009
Same author

RGS5, a hypoxia-inducible apoptotic stimulator in endothelial cells.

The Journal of biological chemistry·2009
Same author

Theory and experiment of a fiber loop mirror filter of two-stage polarization-maintaining fibers and polarization controllers for multiwavelength fiber ring laser.

Optics express·2009
Same author

Selective binding and highly sensitive fluorescent sensor of palmatine and dehydrocorydaline alkaloids by cucurbit[7]uril.

Organic & biomolecular chemistry·2009
Same author

Abatement of toluene from gas streams via ferro-electric packed bed dielectric barrier discharge plasma.

Journal of hazardous materials·2009

Related Experiment Video

Updated: Jun 17, 2025

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

8.4K

A hybrid quantum-classical classification model based on branching multi-scale entanglement renormalization ansatz.

Yan-Yan Hou1, Jian Li2, Tao Xu3

  • 1College of Information Science and Engineering, ZaoZhuang University, Zaozhuang, 277160, China.

Scientific Reports
|August 9, 2024
PubMed
Summary

This study introduces a hybrid quantum-classical classification model using the branching multi-scale entanglement renormalization ansatz (BMERA) for improved accuracy in tasks like image recognition. It also presents a novel autodifferentiation method for gradient computation in quantum machine learning.

Keywords:
Branching multi-scale entanglement renormalization ansatz (BMERA)Hybrid quantum-classical classification modelQuantum machine learningTensor networks

More Related Videos

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

8.9K
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.4K

Related Experiment Videos

Last Updated: Jun 17, 2025

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

8.4K
Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

8.9K
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.4K

Area of Science:

  • Quantum Machine Learning
  • Quantum Computing Architectures
  • Artificial Intelligence

Background:

  • Tensor networks are advanced architectures for quantum machine learning.
  • The branching multi-scale entanglement renormalization ansatz (BMERA) offers superior entanglement properties.
  • Hybrid quantum-classical models leverage both quantum and classical computational strengths.

Purpose of the Study:

  • To introduce a novel hybrid quantum-classical classification model based on BMERA.
  • To investigate the relationship between circuit layout, model expressiveness, and classification accuracy.
  • To develop and validate an autodifferentiation technique for quantum model optimization.

Main Methods:

  • Implementation of a hybrid quantum-classical classification model utilizing BMERA tensor networks.
  • Exploration of various circuit layouts to assess their impact on model performance.
  • Development of an autodifferentiation method for efficient gradient computation of the cost function.
  • Numerical experiments for evaluating classification accuracy and robustness.

Main Results:

  • Demonstrated accuracy and robustness of the BMERA-based quantum classification model.
  • Established correlations between circuit layout, expressiveness, and classification outcomes.
  • Validated the effectiveness of the proposed autodifferentiation method for hybrid models.
  • Successful application in image recognition and cluster excitation discrimination tasks.

Conclusions:

  • The BMERA-based hybrid model presents a promising approach for quantum classification.
  • Circuit design significantly influences the performance of quantum classification models.
  • The autodifferentiation method is a valuable tool for optimizing hybrid quantum-classical machine learning models.
  • This work offers a novel framework for developing advanced quantum classification systems.