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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...
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An ionic compound is stable because of the electrostatic attraction between its positive and negative ions. The lattice energy of a compound is a measure of the strength of this attraction. The lattice energy (ΔHlattice) of an ionic compound is defined as the energy required to separate one mole of the solid into its component gaseous ions. For the ionic solid sodium chloride, the lattice energy is the enthalpy change of the process:
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Related Experiment Video

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Optimized Fabrication Procedure for High-Quality Graphene-based Moiré Superlattice Devices
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Quantum search on graphene lattices.

Iain Foulger1, Sven Gnutzmann1, Gregor Tanner1

  • 1School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom.

Physical Review Letters
|March 4, 2014
PubMed
Summary

We developed a continuous-time quantum search algorithm for graphene lattices. This quantum search efficiently finds marked sites faster than classical methods, also enabling state transfer.

Area of Science:

  • Quantum computing
  • Condensed matter physics
  • Materials science

Background:

  • Quantum search algorithms offer speedups over classical searches.
  • Graphene's unique electronic properties, particularly near the Dirac point, are of significant interest.
  • Implementing quantum algorithms on physical systems remains a key challenge.

Purpose of the Study:

  • To present a continuous-time quantum search algorithm specifically designed for a graphene lattice.
  • To demonstrate an efficient quantum search implementation on a two-dimensional lattice.
  • To explore the potential applications of this algorithm beyond search, such as state transfer.

Main Methods:

  • Utilizing the linear dispersion relation of graphene near the Dirac point.
  • Developing a continuous-time quantum walk on a graphene lattice model.

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  • Analyzing the performance of the quantum search against classical search algorithms.
  • Main Results:

    • The proposed quantum search algorithm demonstrates faster searching capabilities on a graphene lattice compared to classical approaches.
    • The algorithm successfully leverages the unique electronic structure of graphene.
    • The study confirms the algorithm's applicability for quantum state transfer and communication.

    Conclusions:

    • A novel continuous-time quantum search algorithm for graphene lattices has been successfully developed and presented.
    • This algorithm offers a significant speed advantage for searching marked sites on a 2D graphene lattice.
    • The findings open avenues for quantum information processing and communication applications utilizing graphene's properties.