Quantum Annealing for Industry Applications: Introduction and Review

• URL: http://arxiv.org/abs/2112.07491v3
• Date: Mon, 13 Jun 2022 08:37:49 GMT
• Title: Quantum Annealing for Industry Applications: Introduction and Review
• Authors: Sheir Yarkoni, Elena Raponi, Thomas B\"ack, and Sebastian Schmitt
• Abstract summary: In recent years, advances in quantum technologies have enabled the development of small- and intermediate-scale quantum processors. We provide a literature review of the theoretical motivations for quantum annealing, the software and hardware that is required to use such quantum processors, and the state-of-the-art applications and proofs-of-concepts that have been demonstrated using them.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum annealing is a heuristic quantum optimization algorithm that can be used to solve combinatorial optimization problems. In recent years, advances in quantum technologies have enabled the development of small- and intermediate-scale quantum processors that implement the quantum annealing algorithm for programmable use. Specifically, quantum annealing processors produced by D-Wave Systems have been studied and tested extensively in both research and industrial settings across different disciplines. In this paper we provide a literature review of the theoretical motivations for quantum annealing as a heuristic quantum optimization algorithm, the software and hardware that is required to use such quantum processors, and the state-of-the-art applications and proofs-of-concepts that have been demonstrated using them. The goal of our review is to provide a centralized and condensed source regarding applications of quantum annealing technology. We identify the advantages, limitations, and potential of quantum annealing for both researchers and practitioners from various fields.

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