Corcoles, A.D., Kandala, A., Javadi-Abhari, A., McClure, D.T., Cross, A.W., Temme, K., Nation, P.D., Steffen, M. and Gambetta, J.M. (2019) Challenges and Opportunities of Near-Term Quantum Computing Systems. Proceedings of the IEEE, 108, 1338-1352.
https://doi.org/10.1109/JPROC.2019.2954005

has been cited by the following article:

• TITLE: A New Path to Create Solutions for Quantum Annealing Problems

  AUTHORS: Jose Luis Hevia, Ezequiel Murina, Guido Peterssen, Mario Piattini

  KEYWORDS: Quantum Software, Quantum Annealing, QPath, Annealer Compositor

  JOURNAL NAME: Journal of Quantum Information Science, Vol.11 No.3, September 16, 2021

  ABSTRACT: Quantum computing has already become a technology to be used by large companies in finance, distribution, health care, chemistry, etc. Among the different approaches, quantum annealing is one of the most promising in the short term. However, software development platforms do not offer user-friendly interfaces for the definition of annealing problems. In this paper we present a solution to this problem: QPath®’s Annealer Compositor that facilitates the definition and execution of annealing algorithms in either quantum annealing or digital annealing computers. An example based on a nurse work schedule is used for illustrating this special interface.