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The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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. Schrödinger...
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Updated: May 31, 2026

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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Published on: August 2, 2019

Distributed quantum information processing: a review of recent progress.

Johannes Knörzer1, Xiaoyu Liu2, Benjamin Schiffer3

  • 1Department of Physics, ETH Zürich, CH-8093 Zürich, Zürich, 8093, Switzerland.

Reports on Progress in Physics. Physical Society (Great Britain)
|May 29, 2026
PubMed
Summary
This summary is machine-generated.

Distributed quantum information processing connects quantum devices for enhanced capabilities. This approach enables larger problems and new algorithms by leveraging multi-copy quantum states and communication trade-offs.

Keywords:
Distributed quantum computingImplementationsQuantum ComputingQuantum InformationQuantum Physics

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Area of Science:

  • Quantum Information Science
  • Distributed Quantum Computing

Background:

  • Monolithic quantum devices face scalability limitations.
  • Distributed quantum information processing interconnects multiple quantum processing nodes.
  • Classical and quantum communication are key to distributed systems.

Purpose of the Study:

  • To review theoretical foundations of distributed quantum protocols.
  • To examine experimental platforms and algorithmic applications.
  • To contextualize recent developments in the field.

Main Methods:

  • Surveying theoretical foundations of distributed quantum protocols.
  • Examining experimental platforms for distributed quantum computing.
  • Analyzing algorithmic applications of distributed quantum resources.

Main Results:

  • Distributed quantum processing overcomes scalability limits of monolithic devices.
  • Enables access to larger problem instances and novel algorithms.
  • Facilitates joint measurements on multiple copies of high-dimensional quantum states.

Conclusions:

  • Distinguishing single-copy and multi-copy access is crucial for task complexity.
  • Highlights trade-offs between classical and quantum communication models.
  • Identifies practical challenges in realizing distributed quantum systems experimentally.