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Related Concept Videos

Trends in Lattice Energy: Ion Size and Charge02:54

Trends in Lattice Energy: Ion Size and Charge

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:
Ionic Crystal Structures02:42

Ionic Crystal Structures

Ionic crystals consist of two or more different kinds of ions that usually have different sizes. The packing of these ions into a crystal structure is more complex than the packing of metal atoms that are the same size.
Most monatomic ions behave as charged spheres, and their attraction for ions of opposite charge is the same in every direction. Consequently, stable structures for ionic compounds result (1) when ions of one charge are surrounded by as many ions as possible of the opposite...
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Mass Analyzers: Common Types

The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...

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A scalable quantum computer with ions in an array of microtraps

Cirac1, Zoller

  • 1Institute for Theoretical Physics, University of Innsbruck, Austria.

Nature
|April 15, 2000
PubMed
Summary

This study proposes a scalable ion trap quantum computer model. It combines the scalability of solid-state systems with the quantum control and long coherence times of quantum optical systems.

Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Atomic Physics

Background:

  • Quantum computers require qubits for information storage, quantum gates for processing, and readout mechanisms.
  • Viable quantum computing models include quantum optical systems (trapped ions, cavity QED, NMR) and solid-state systems (spins, quantum dots, Josephson junctions).
  • Current leading systems (quantum optical, NMR) may achieve ~10 qubits soon, insufficient for practical applications like large-scale factorization.

Purpose of the Study:

  • To address the critical need for scalable quantum computer architectures.
  • To propose a novel quantum computer model that overcomes limitations of existing systems.
  • To combine the strengths of different quantum computing approaches.

Main Methods:

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  • Development of a theoretical model for an ion trap quantum computer.
  • Integration of scalability features typically found in solid-state proposals.
  • Leveraging quantum optical system advantages, including precise quantum control and extended decoherence times.

    • Main Results:

    • A proposed ion trap quantum computer model.
    • The model integrates scalability with superior quantum control.
    • It offers long decoherence times, crucial for complex quantum computations.

    Conclusions:

    • The proposed ion trap model offers a promising path towards scalable quantum computing.
    • It merges the advantages of quantum optical systems with the scalability of solid-state architectures.
    • This approach could accelerate the development of quantum computers capable of tackling significant computational challenges.