Using the Quantum Approximate Optimization Algorithm (QAOA) to Solve Binary-Variable Optimization Problems (Video/Podcast)

Abstract

This latest work is part of a larger effort addressing the challenge of near-term noisy intermediate scale quantum computing, also known as NISQ, which is used to demonstrate quantum advantage. Lets talk briefly about the challenge of NISQ and what it means for quantum computing.

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Document Details

Document Type
Technical Report
Publication Date
May 05, 2022
Accession Number
AD1168425

Entities

People

  • Daniel Justice
  • Jason M. Larkin

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Addressing
  • Algorithms
  • Electronic Mail
  • Guarantees
  • Heuristic Methods
  • Materials
  • Mathematics
  • Optimization
  • Quantum Computing
  • Universities
  • Websites

Readers

  • Operations Research
  • Systems Analysis and Design
  • Technical Research and Report Writing.

Technology Areas

  • Quantum Computing