From dd1d55be065c8225130ceafe7071825f5f0380ab Mon Sep 17 00:00:00 2001
From: Amer Delilbasic <amer.delilbasic@studenti.unitn.it>
Date: Tue, 26 Jan 2021 16:33:39 +0000
Subject: [PATCH] Update README.md

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 # Quantum_SVM_Algorithms
 
+## Extended Bibliography
+
+P. Rebentrost, M. Mohseni, and S. Lloyd, “Quantum support vector machine for big data classification,” Physical Review Letters, Sep 2014
+
+D. Willsch, M. Willsch, H. De Raedt and K. Michielsen, “Support Vector Machines on the D-Wave Quantum Annealer”, 2019
+
+D. Anguita, S. Ridella, F. Rivieccio, R. Zunino, "Quantum optimization for training support vector machines", Neural Networks, 2003
+
+"Implementing QSVM Machine Learning Method on IBM's Quantum Computers", Quantum Computing UK, 2020
+
+X. Zhu, J. Xiong and Q. Liang, "Fault Diagnosis of Rotation Machinery Based on Support Vector Machine Optimized by Quantum Genetic Algorithm," in IEEE Access, vol. 6, pp. 33583-33588, 2018
+
+A. K. Bishwas, A. Mani and V. Palade, "Big data classification with quantum multiclass SVM and quantum one-against-all approach," 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), Noida, pp. 875-880, 2016
+
+D. Uke, K. K. Soni and A. Rasool, "Quantum based Support Vector Machine Identical to Classical Model," 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, pp. 1-6, 2020.
-- 
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