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The Quantum-Mechanical Model of an Atom02:45

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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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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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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Advances in Quantum Computing.

Brian La Cour1

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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.