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The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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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.
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Quantum Numbers02:43

Quantum Numbers

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

Ampere-Maxwell's Law: Problem-Solving

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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...
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The de Broglie Wavelength02:32

The de Broglie Wavelength

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In the macroscopic world, objects that are large enough to be seen by the naked eye follow the rules of classical physics. A billiard ball moving on a table will behave like a particle; it will continue traveling in a straight line unless it collides with another ball, or it is acted on by some other force, such as friction. The ball has a well-defined position and velocity or well-defined momentum, p = mv, which is defined by mass m and velocity v at any given moment. This is the typical...
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The Aufbau Principle and Hund's Rule03:02

The Aufbau Principle and Hund's Rule

49.1K
To determine the electron configuration for any particular atom, we can build the structures in the order of atomic numbers. Beginning with hydrogen, and continuing across the periods of the periodic table, we add one proton at a time to the nucleus and one electron to the proper subshell until we have described the electron configurations of all the elements. This procedure is called the aufbau principle, from the German word aufbau (“to build up”). Each added electron occupies the...
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Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

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Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
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Related Experiment Video

Updated: Jul 7, 2025

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

Published on: September 8, 2023

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Advances in Quantum Computing.

Brian La Cour1

  • 1Applied Research Laboratories, The University of Texas at Austin, Austin, TX 78758, USA.

Entropy (Basel, Switzerland)
|December 23, 2023
PubMed
Summary
This summary is machine-generated.

Quantum computing is rapidly advancing, with new developments emerging throughout this Special Issue. These breakthroughs promise to revolutionize various scientific fields and computational capabilities.

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Area of Science:

  • Quantum Information Science
  • Computational Physics

Background:

  • The rapid progression of quantum computing hardware and algorithms is a key focus.
  • This Special Issue captures the latest theoretical and experimental advancements.

Discussion:

  • Explores the accelerating pace of quantum computing development.
  • Highlights the interdisciplinary nature of quantum research.

Key Insights:

  • New quantum algorithms and error correction techniques are emerging.
  • Significant progress in building stable qubits and scalable quantum systems.

Outlook:

  • Future quantum computers are expected to tackle complex problems intractable for classical systems.
  • Anticipates transformative impacts across chemistry, materials science, and artificial intelligence.