BibTeX

@mastersthesis{PAOCNNAQAS20,
	author	 = {Aasish Kumar Sharma},
	title	 = {{Performance Analysis of Convolutional Neural Network Applying Quantum Annealing}},
	advisors	 = {[[https://lict.ioe.edu.np/profile/sanjeeb/|Sanjeeb Prasad Pandey]]},
	year	 = {2020},
	month	 = {12},
	school	 = {Universität Hamburg},
	type	 = {Master's Thesis},
	abstract	 = {The paper presents a case study on Quantum Annealing in relation to Simulated Annealing. At first it includes theoretical details for Annealing method, Simulated and Quantum Annealing techniques for solving problems where search space is discrete. Onward, based on variant performance parameters, from various experimental results, conducted using quantum annealer (like D-Wave) in compare to different classical counter fits verifies Quantum Annealing as an optimized technique against Simulated Annealing.},
	url	 = {https://www.researchgate.net/publication/330441093_Quantum_Annealing_as_an_Optimized_Simulated_Annealing_A_Case_Study},
}

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