ArticleScientific reports2022
Variational quantum support vector machine based on [Formula: see text] matrix expansion and variational universal-quantum-state generator.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Evaluating hybrid quantum-classical learning for financial forecasting: a comparative study with classical machine learning models on BSE indices.Frontiers in artificial intelligence · 2026Review
- The Future of Drug Development with Quantum Computing.Methods in molecular biology (Clifton, N.J.) · 2024Review
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Authors and funding
1 author.
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Abstract
We analyze a binary classification problem by using a support vector machine based on variational quantum-circuit model. We propose to solve a linear equation of the support vector machine by using a [Formula: see text] matrix expansion. In addition, it is shown that an arbitrary quantum state is prepared by optimizing a universal quantum circuit representing an arbitrary [Formula: see text] based on the steepest descent method. It may be a quantum generalization of Field-Programmable-Gate Array (FPGA).
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Registered trials
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