Study of Quantum Annealing and the type of related applications

A. K. Venugopalan, R. K. Karishmah, R. S. Pillai, D. Sreedev, V. Balachandran,P. Bhattacharjee

2021 IEEE Pune Section International Conference (PuneCon)(2021)

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Abstract
Most of the modern day computations are considered as an NP-hard like solving a puzzle or traveling salesman problem. Over the decades, engineers are exploring for many approaches of solution, out of which Quantum Annealing has depicted the efficacy. In this paper, we do a review study of Quantum Annealing (i.e., an approach to find the global mini-mum of a particular function that can provide better heuristics for the NP-hard optimization problem) and discussed briefly about quantum computers. Not only that, we also showcase few applications of quantum annealing which include scheduling problem, lung cancer detection, coherence in quantum annealer, and clustering.
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Key words
QUBO,Quantum Computer,Quantum Annealing,Nurse Scheduling Problem,Lung cancer detection,Coherent Quantum Annealing,Clustering
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