Entangled state preparation for non-binary quantum computing

Kaitlin N. Smith, Mitchell A. Thornton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A common model of quantum computing is the gate model with binary basis states. Here, we consider the gate model of quantum computing with a non-binary radix resulting in more than two basis states to represent a quantum digit, or qudit. Quantum entanglement is an important phenomenon that is a critical component of quantum computation and communications algorithms. The generation and use of entanglement among radix-2 qubits is well-known and used often in quantum computing algorithms. Quantum entanglement exists in higher-radix systems as well although little is written regarding the generation of higher-radix entangled states. We provide background describing the feasibility of multiple-valued logic quantum systems and describe a new systematic method for generating maximally entangled states in quantum systems of dimension greater than two. This method is implemented in a synthesis algorithm that is described. Experimental results are included that demonstrate the transformations needed to create specific forms of maximally entangled quantum states.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th IEEE International Conference on Rebooting Computing, ICRC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728152219
DOIs
StatePublished - Nov 2019
Event4th IEEE International Conference on Rebooting Computing, ICRC 2019 - San Mateo, United States
Duration: Nov 6 2019Nov 8 2019

Publication series

NameProceedings of the 4th IEEE International Conference on Rebooting Computing, ICRC 2019

Conference

Conference4th IEEE International Conference on Rebooting Computing, ICRC 2019
Country/TerritoryUnited States
CitySan Mateo
Period11/6/1911/8/19

ASJC Scopus subject areas

  • Hardware and Architecture
  • Atomic and Molecular Physics, and Optics
  • Artificial Intelligence
  • Computational Theory and Mathematics

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