Entanglement in a Quantum Annealing Processor

Abstract

Entanglement lies at the core of quantum algorithms designed to solve problems that are intractable by classical approaches. One such algorithm, quantum annealing (QA), provides a promising path to a practical quantum processor. We have built a series of architecturally scalable QA processors consisting of networks of manufactured interacting spins (qubits). Here, we use qubit tunneling spectroscopy to measure the energy eigen spectrum of two- and eight-qubit systems within one such processor, demonstrating quantum coherence in these systems. We present experimental evidence that, during a critical portion of QA, the qubits become entangled and entanglement persists even as these systems reach equilibrium with a thermal environment. Our results provide an encouraging sign that QA is a viable technology for large scale quantum computing.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 07, 2016
Accession Number
AD1011364

Entities

People

  • A J Berkley
  • A. B. Wilson
  • A. J. Przybysz
  • A. Y. Smirnov
  • C. Enderud
  • Charles Rich
  • E. Hoskinson
  • E. Ladizinsky
  • E. Tolkacheva
  • F. Altomare
  • F. M. Spedalieri
  • G. Rose
  • I. Perminov
  • J. P. Hilton
  • M. C. Thom
  • M. H. Amin
  • M. W. Johnson
  • N. Dickson
  • N. Ladizinsky
  • P. Bunyk
  • R. Harris
  • R. Neufeld
  • S. Boixo
  • S. Uchaikin
  • T. Lanting
  • T. Oh

Organizations

  • D-Wave Systems

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Data Science
  • Energy Gaps
  • Energy Levels
  • Ground State
  • Information Science
  • Probability
  • Quantum Algorithms
  • Quantum Computers
  • Quantum Computing
  • Quantum Information
  • Quantum Information Science
  • Quantum Mechanics
  • Quantum Properties
  • Spectra
  • Subatomic Particles

Fields of Study

  • Physics

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Software Engineering.

Technology Areas

  • Quantum Computing