Reexamining the Computational Efficiency of separable quantum support vector machine training oracles

summary of abstract: In this text, we examine the qubit scaling of the approach of kernel generation proposed in a 2019 paper by Jiaying Yang, Ahsan Javed Awan, and Gemma Vall-Llosera, mathematically proving the redundancy of the majority of the computation done in the training-data oracle proposed in the original paper, and demonstrate that we can achieve the same result as in the original paper using a single qubit and a single data point.

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