quantum circuit classification (classical ML)
1 papers with code • 0 benchmarks • 0 datasets
Classification of quantum circuits based on their classical text description.
Benchmarks
These leaderboards are used to track progress in quantum circuit classification (classical ML)
No evaluation results yet. Help compare methods by
submitting
evaluation metrics.
Most implemented papers
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era
In fact, also the Machine Learning research related to quantum computers undertakes a dual challenge: enhancing machine learning exploiting the power of quantum computers, while also leveraging state-of-the-art classical machine learning methodologies to help the advancement of quantum computing.