noisy quantum circuit classification (quantum ML, error mitigation)
1 papers with code • 0 benchmarks • 0 datasets
Quantum circuit classification using Quantum Machine Learning methods on noisy devices. Application of Error Mitigation.
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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.
