Experimental Performance of a Quantum Simulator: Optimizing Adiabatic Evolution and Identifying Many-Body Ground States

Abstract

In conclusion, we have used local adiabatic ramps to prepare ground states with high probability in a trapped ion adiabatic quantum simulator, as well as identify ground states in a system of up to 14 fully-connected spins. Local adiabatic ramps are found to maximize the ground state population compared with other adiabatic methods and require knowledge of only the lowest ~ N energy eigenvalues of the Hamiltonian under study. As N grows large and even the lowest eigenvalues are difficult to calculate, we have demonstrated that a simple, approximated local adiabatic ramp can still be used to improve the ground state preparation. We have additionally described a technique to determine the ground state spin ordering even when ramps are severely non-adiabatic, and have experimentally found the correct ground state in an N = 14 frustrated AFM spin system. The technique should scale in principle to N = 30 spins and beyond, where finding the ground states of complicated many-body spin systems becomes classically intractable.

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Document Details

Document Type
Technical Report
Publication Date
Jul 31, 2013
Accession Number
AD1051232

Entities

People

  • Albert Lee
  • C. Monroe
  • C. Senko
  • J. Cole Smith
  • Philip Richerme
  • S. Korenblit

Organizations

  • Joint Quantum Institute

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acousto-Optic Modulators
  • Differential Equations
  • Eigenvalues
  • Energy Gaps
  • Energy Levels
  • Equations
  • Frequency
  • Ground State
  • Ion Traps
  • Laser Beams
  • Magnetic Fields
  • Phase Transformations
  • Probability
  • Quantum Computing
  • Simulations
  • Simulators
  • Spin States

Fields of Study

  • Physics

Readers

  • Fluid Mechanics and Fluid Dynamics.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Systems Analysis and Design

Technology Areas

  • Quantum Computing