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
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

676
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
676
Parallel Processing01:20

Parallel Processing

185
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
185
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.6K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.6K
Quantum Numbers02:43

Quantum Numbers

34.9K
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.
34.9K
Fermi Level Dynamics01:12

Fermi Level Dynamics

286
The vacuum level denotes the energy threshold required for an electron to escape from a material surface. It is usually positioned above the conduction band of a semiconductor and acts as a benchmark for comparing electron energies within various materials.
Electron affinity in semiconductors refers to the energy gap between the minimum of its conduction band and the vacuum level and it is a critical parameter in determining how easily a semiconductor can accept additional electrons.
The work...
286

You might also read

Related Articles

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

Sort by
Same author

Cross-region combinatorial mutagenesis reveals context-dependent enhancement of 3α-hydroxysteroid dehydrogenase catalytic efficiency.

International journal of biological macromolecules·2026
Same author

A novel insight into the risk of depression and anxiety onset in Parkinson's disease: the implications of GBA1 and LRRK2.

Parkinsonism & related disorders·2026
Same author

Efficacy and safety of adding immune checkpoint inhibitors to standard chemotherapy or chemoradiotherapy for advanced or recurrent cervical cancer: a meta-analysis.

Frontiers in immunology·2026
Same author

Age at onset of Parkinson's disease modulates the sphingolipid-dopaminergic interplay in autonomic progression.

NPJ Parkinson's disease·2026
Same author

Exploring dietary habits strongly associated with pancreatic cancer from the perspective of Mendelian randomization.

Medicine·2026
Same author

Walnut Peptide KG-7 Alleviates Scopolamine-Induced Memory Deficits and Enhances Paracellular Transport via Tight Junction Modulation in a Mouse Model.

Foods (Basel, Switzerland)·2026

Related Experiment Video

Updated: Jul 24, 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

607

SoK: Benchmarking the Performance of a Quantum Computer.

Junchao Wang1,2, Guoping Guo2, Zheng Shan1

  • 1State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450002, China.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
Summary
This summary is machine-generated.

Quantum computing performance evaluation requires robust benchmarking beyond qubit count. This review categorizes methods and proposes new standards for accurate quantum computer assessment.

Keywords:
fidelityquantum benchmarkquantum circuitquantum computingqubit

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
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.9K

Related Experiment Videos

Last Updated: Jul 24, 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

607
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
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.9K

Area of Science:

  • Quantum Computing
  • Computer Science
  • Information Technology

Background:

  • Quantum computers offer potential advantages over classical computers for specific problems.
  • Current performance evaluation often relies solely on qubit count, which is misleading.
  • Effective quantum benchmarking is crucial for development and investment decisions.

Purpose of the Study:

  • To review existing quantum computer performance benchmarking protocols, models, and metrics.
  • To classify current benchmarking techniques into distinct categories.
  • To discuss future trends and propose new benchmarking standards like QTOP100.

Main Methods:

  • Literature review of quantum benchmarking protocols.
  • Classification of benchmarking techniques into physical, aggregative, and application-level categories.
  • Analysis of current metrics and their limitations.

Main Results:

  • Identified three primary categories of quantum benchmarking: physical, aggregative, and application-level.
  • Highlighted the inadequacy of qubit count as a sole performance metric.
  • Discussed the need for comprehensive benchmarking for accurate quantum computer evaluation.

Conclusions:

  • Quantum computer performance evaluation necessitates sophisticated benchmarking beyond simple qubit counts.
  • A structured approach to benchmarking, encompassing physical, aggregative, and application-level aspects, is essential.
  • The proposed QTOP100 aims to establish a future standard for quantum computer benchmarking.