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quant-ph2024
Inference, interference and invariance: How the Quantum Fourier Transform can help to learn from data
David Wakeham, Maria Schuld
How can we take inspiration from a typical quantum algorithm to design heuristics for machine learning? A common blueprint, used from Deutsch-Josza to Shor's algorithm, is to place…
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…