MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning in the NISQ Era

Abstract We introduce MNISQ, the first large-scale dataset for both quantum and classical machine learning during the NISQ era, containing 4.95 million circuits of 10 qubits constructed with up to 100 two-qubit gates. MNISQ serves as a foundational resource for developing natural language processing...

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Autores principales:	Leonardo Placidi, Ryuichiro Hataya, Toshio Mori, Koki Aoyama, Hayata Morisaki, Kosuke Mitarai, Keisuke Fujii
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2026-05-01
Colección:	Scientific Data
Acceso en línea:	https://doi.org/10.1038/s41597-026-07493-9
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