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quant-ph2025
Train on classical, deploy on quantum: scaling generative quantum machine learning to a thousand qubits
Erik Recio-Armengol, Shahnawaz Ahmed, Joseph Bowles
We propose an approach to generative quantum machine learning that overcomes the fundamental scaling issues of variational quantum circuits. The core idea is to use a class of gene…
quant-ph2024
Better than classical? The subtle art of benchmarking quantum machine learning models
Joseph Bowles, Shahnawaz Ahmed, Maria Schuld
Benchmarking models via classical simulations is one of the main ways to judge ideas in quantum machine learning before noise-free hardware is available. However, the huge impact o…