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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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An atomic orbital represents the three-dimensional regions in an atom where an electron has the highest probability to reside. The radial distribution function indicates the total probability of finding an electron within the thin shell at a distance r from the nucleus. The atomic orbitals have distinct shapes which are determined by l, the angular momentum quantum number. The orbitals are often drawn with a boundary surface, enclosing densest regions of the cloud.
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In an atom, the negatively charged electrons are attracted to the positively charged nucleus. In a multielectron atom, electron-electron repulsions are also observed. The attractive and repulsive forces are dependent on the distance between the particles, as well as the sign and magnitude of the charges on the individual particles. When the charges on the particles are opposite, they attract each other. If both particles have the same charge, they repel each other.
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Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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An open-source data storage and visualization platform for collaborative qubit control.

Devanshu Brahmbhatt1,2,3, Yilun Xu4, Neel Vora1,2,3

  • 1Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.

Scientific Reports
|September 30, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed Qubit Control Storage and Visualization (QubiCSV), an open-source platform for managing quantum computing data. This tool enhances collaboration and streamlines analysis of qubit control and calibration data.

Keywords:
Human-qubit interactionsQuantum computingQuantum controlQubit visualization

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Area of Science:

  • Quantum computing research
  • Quantum information science
  • Advanced data management

Background:

  • Collaborative research platforms are essential for quantum bit control innovation and efficient resource utilization.
  • High costs of quantum experimental setups necessitate shared environments.
  • Existing qubit control systems lack robust data management for calibration data and visualization of experimental outcomes.

Purpose of the Study:

  • To introduce Qubit Control Storage and Visualization (QubiCSV), an open-source platform for quantum computing research.
  • To address the need for dedicated data management tools for qubit control systems.
  • To facilitate efficient storage, analysis, and visualization of calibration and characterization data.

Main Methods:

  • Development of an open-source platform, QubiCSV.
  • Implementation of data versioning for secure data storage.
  • Integration of real-time interaction capabilities for researchers and programmers.
  • Creation of intuitive visualization features for complex quantum experiment interpretation.

Main Results:

  • QubiCSV provides efficient data management for quantum computing research.
  • The platform enables data versioning and real-time interaction with qubits.
  • Insightful visualizations aid in interpreting complex quantum experiments and optimizing qubit performance.
  • Streamlined handling of qubit control system data and improved user experience.

Conclusions:

  • QubiCSV is a valuable open-source asset for the quantum computing domain.
  • The platform enhances collaborative research by improving data management and analysis.
  • QubiCSV's visualization tools are crucial for understanding and optimizing qubit performance.