A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms. (arXiv:2208.13251v2 [quant-ph] UPDATED)

Quantum Machine Learning (QML) hasn't yet demonstrated extensively and
clearly its advantages compared to the classical machine learning approach. So
far, there are only specific cases where some quantum-inspired techniques have
achieved small incremental advantages, and a few experimental cases in hybrid
quantum computing are promising considering a mid-term future (not taking into
account the achievements purely associated with optimization using
quantum-classical algorithms). The current quantum computers are noisy and have
few qubits to test, making it difficult to demonstrate …

algorithms arxiv classification learning machine machine learning perspective quantum