Quantum annealing is a quantum computing approach widely used for optimization and probabilistic sampling problems. It is an alternative approach designed due to the limitations of gate-based quantum computing models. The method is observed to have a significant impact on different fields such as machine learning, graphics, routing, scheduling, computational chemistry, computational biology, security, portfolio, and others despite the fact that it is relatively new. This research provides a systematic review of research development trends in the field of quantum annealing and analyzes how it has been implemented in different problem domains. The results are expected to serve as the basis to identify the opportunities and challenges of research related to its implementation. The main contribution of this systematic review is to summarize different implementations of quantum annealing. It is also to analyze the prospect and opportunities in one of the problem domains with the greatest interest which is machine learning.

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Food allergy and anaphylaxis are known to keep increasing in prevalence for over the years. Various efforts have been made to provide the solutions but they have not been proven very effective while on the other hand technological solution has not yet been much involved to support them. The main problem with food allergy is that people find it hard to access the information of complete ingredients, food-making process, and shared equipment that might be used in the process. The information is regularly needed by people with food allergy to determine whether the food is safe to consume or not. This paper will explain how the problems are solved by designing a food allergy information application using user-centered design (UCD) approach to facilitate the user needs with Gojek application as the study case. The outcome of this research is a high-fidelity prototype of the application. Usability testing is conducted for the prototype by using parameters such as completion rate, System Usability Scale (SUS) questionnaire, and User Engagement Scale-Short Form (UES-SF) questionnaire with corresponding results of 100% completion rate, 85.4 SUS score, and 4.23 UES-SF score which shows that effectivity and engaging as usability and user experience goals are fulfilled to answer the user needs.