Quantum Computing With Quasiparticles of the Fractional Quantum Hall Effect

Abstract

The focus of this project was the theoretical study of quantum computation based on controlled transfer of individual quasiparticles in systems of quantum antidots in the regime of the Fractional Quantum Hall Effect (FQHE). The work addressed the basic issues of operation of such FQHE qubits as well as related questions of physics of FQHE transport and topological quantum computation. The main parts of our effort were the studies of mechanisms of decoherence, design of single- and two-qubit operations for FQHE qubits, quantitative description of quasiparticle tunnelling between the edges of FQHE liquids, and decoherence properties of some of the generic models of topological quantum computation. The basic conclusion of this project is that the FQHE qubits provide a realistic way of implementation of semiconductor solid-state quantum logic devices competitive with other types of semiconductor qubits. Non-trivial exchange statistics of FQHE quasiparticles should enable convenient realization of the two-qubit operations that does not require the control of the two-particle interaction. For quasiparticles with the non-abelian statistics, the topological nature of this statistics can provide additional stability against decoherence.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2001
Accession Number
ADA427413

Entities

People

  • D. V. Averin

Organizations

  • State University of New York

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computations
  • Computing Devices
  • Couplings
  • Data Science
  • Electrons
  • Fermions
  • Hall Effect
  • Low Temperature
  • Quantum Computing
  • Quantum Tunneling
  • Quasiparticles
  • Scientists
  • Statistics
  • Transport Ships
  • Tunneling

Fields of Study

  • Physics

Readers

  • Business Analytics
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Microelectronics
  • Microelectronics - Graphene
  • Quantum Computing
  • Quantum Science - Quantum Dots