106 citations · 149 across the 11 of their papers we have counts for
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quant-ph2023★ 2 cited
Quantum computer based Feature Selection in Machine Learning
Gerhard Hellstern, Vanessa Dehn, Martin Zaefferer
The problem of selecting an appropriate number of features in supervised learning problems is investigated in this paper. Starting with common methods in machine learning, we treat…
cs.CR2023★ 23 cited
From Portfolio Optimization to Quantum Blockchain and Security: A Systematic Review of Quantum Computing in Finance
Abha Naik, Esra Yeniaras, Gerhard Hellstern +2
In this paper, we provide an overview of the recent work in the quantum finance realm from various perspectives. The applications in consideration are Portfolio Optimization, Fraud…