Exploring Quantum Annealing: A Pathway to Quantum Computing
Abstract views: 0 / PDF downloads: 0
DOI:
https://doi.org/10.70447/ktve.2242Abstract
With the second revolution of Quantum, a race has begun in the field of Quantum computing all over the world. With today's technology, quantum computers based on quantum mechanics have started to develop with baby steps and continue to develop with giant steps. While pure quantum computers are developing, "Hybrid" computers that can perform faster calculations using the statistical data of Quantum Annealing are ready to immediately solve the problems that classical computers solve in long processing times.
Quantum annealing has begun to be used intensively with the developed methods (Ising Model, Binary Quadratic Model, Quadratic unconstrained Binary Optimization). For this purpose, companies such as D-Wave, IBM, Rigetti, Qilimanjaro have concentrated in this field. The solutions of these companies (D-Wave's Dimod, Networkx, etc.) contribute to development.
On the 100th anniversary of the Republic of Turkey, which was entrusted to us by Ataturk, the need to write this article arose to raise awareness about quantum computing and quantum annealing in Turkey.
It is thought that the aim of research in the field of quantum in the near future will be to develop software based on quantum annealing for industrial applications that require solutions. The issues discussed in this article have been compiled from sources widely referenced in the literature. Quantum computing and Quantum annealing, their structure, how they work, which solution platforms there are, their advantages and limitations are explained to the reader.
Downloads
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2023 Hüseyin Türker
This work is licensed under a Creative Commons Attribution 4.0 International License.
Key Points of CC BY 4.0
- Attribution Requirement: Others can share, adapt, and use the work, even commercially, as long as they credit the original author(s) and the journal (JQTAIR) as the source.
- Flexibility in Usage: This license maximizes dissemination, as anyone can use the research in new projects, derivative works, or even commercial applications.
- Global and Broad: The 4.0 version is legally global, compatible with other open-access content, and widely accepted by institutions and funders worldwide.
- Freedom to Remix and Adapt: Researchers, educators, and industry professionals can freely build upon the work, encouraging collaboration and innovative uses in various fields.
Attribution Requirement for Users
To comply with CC BY 4.0, anyone who uses, shares, or builds upon the journal’s work must include:
- The title of the work.
- A link to the full text (ideally hosted on JQTAIR’s site or repository).
- Credit to the original authors and the journal (e.g., “Published by JQTAIR” or “Original work by [Author Name], published in JQTAIR”).