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

reportActive / Technical Report | Accesssion Number: AD1168425 | Open PDF

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.

Author(s):
Larkin, Jason ; Justice, Daniel
Author Organization(s):
CARNEGIE-MELLON UNIV PITTSBURGH PA
Funding Organization(s):
AIR FORCE LIFE CYCLE MANAGEMENT CENTER HANSCOM AFB MA, HANSCOM AFB , MA
Document Type:
Technical Report/Other
Publication Date:
2022 May 05
Pagination:
3

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution Code:
A - Approved For Public Release
Distribution Statement: Public Release

RECORD

Collection: TRECMS
Subject Terms
Modernization Areas:
Quantum Science and Computing
Communities of Interest:
No COI(s) Identified
Descriptor(s):
quantum computing, algorithms, materials, optimization, websites, addressing, electronic mail, guarantees, heuristic methods, mathematics, universities
Subject Categories:
Physics; Mathematical and Computer Sciences
Creation Date:
2022 May 11
Update Date:
2022 Jun 24