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quantum circuit classification (quantum ML)
3260 papers • 126 benchmarks • 313 datasets
Classification of quantum circuits using quantum machine learning techniques.
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MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era
Leonardo Placidi, Ryuichiro Hataya, Toshio Mori, Koki Aoyama, Hayata Morisaki, K. Mitarai, K. Fujii•Wed Jun 28 2023
These findings illustrate that quantum circuit-related datasets are likely to be quantum advantageous, but also that state-of-the-art machine learning methodologies can competently classify and recognize quantum circuits.
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