Transport Implementation of the Bernstein Vazirani Algorithm with Ion Qubits

Abstract

Using trapped ion quantum bits in a scalable microfabricated surface trap, we perform the Bernstein Vazirani algorithm. Our architecture takes advantage of the ion transport capabilities of such a trap. The algorithm is demonstrated using two- and three-ion chains. For three ions, an improvement is achieved compared to a classical system using the same number of oracle queries. For two ions and one query, we correctly determine an unknown bit string with probability 97.6(8) . For three ions, we succeed with probability 80.9(3) .

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Document Details

Document Type
Technical Report
Publication Date
Aug 11, 2016
Accession Number
AD1053611

Entities

People

  • Brian J. McMahon
  • C. D. Herold
  • J. M. Amini
  • K. M. Maller
  • Kenton R. Brown
  • Spencer D. Fallek

Organizations

  • Georgia Tech Research Institute

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computers
  • Frequency
  • Ion Traps
  • Probability
  • Quantum Algorithms
  • Quantum Bits
  • Quantum Computing
  • Quantum Information
  • Quantum Information Science
  • Reliability
  • Repetition Rate
  • Simulations

Fields of Study

  • Computer science
  • Physics

Readers

  • Quantum Chemistry
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Radio communications and signal processing.

Technology Areas

  • Quantum Computing