Content area

Abstract

This study investigated the challenges that may influence the successful adoption of adiabatic quantum computers based on an analysis of three case studies of organizations that adopted technologies adjacent to adiabatic quantum computers. Through the lens of the affordance framework, a mixed methods approach identified common challenges and themes when adopting different forms of classical computing. The qualitative method involved analyzing pre-existing documentation on classical computing technologies through a reflexive narrative review of the case studies. For the quantitative aspect, an A/B testing approach was used to compare the performance of D-Wave adiabatic quantum computers in solving a well-established computer science problem against traditional classical computing solutions. The qualitative findings revealed key factors impacting the adoption of technologies adjacent to adiabatic quantum computers. Despite different technological challenges, the desire to modernize and address competitive pressure was the common factor motivating organizations to adopt new technologies. Top management support and organizational adaptability were crucial for organizations to actualize these technologies. The quantitative approach demonstrated an example of how to implement a perceived affordance for adiabatic quantum computers. This experiment illustrates that quantum computers should be viewed as a complementary system to classical computers, working in cooperation rather than replacing them. Based on these findings, practical guidance recommendations for organizational managers on how to improve their supply chain and increase the likelihood of a successful adoption of adiabatic quantum computers are provided.

Details

1010268
Business indexing term
Title
Anticipating the Adoption of Quantum Computing Technology by Organizations
Author
Number of pages
165
Publication year
2025
Degree date
2025
School code
0659
Source
DAI-A 86/12(E), Dissertation Abstracts International
ISBN
9798283141077
Advisor
Committee member
Wallace, Stephan; Rutkoski, Rachel; Isik, Can
University/institution
Syracuse University
Department
Information Science & Technology
University location
United States -- New York
Degree
D.P.S.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
31936352
ProQuest document ID
3222159430
Document URL
https://www.proquest.com/dissertations-theses/anticipating-adoption-quantum-computing/docview/3222159430/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic