A matrix product state simulator framework runs quantum kernel SVMs at 165 features and 6400 samples, finding a CPU-to-GPU crossover and an empirical accuracy scaling with data and features.
Better than classical? the subtle art of benchmarking quantum machine learning models,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Realizing Quantum Kernel Models at Scale with Matrix Product State Simulation
A matrix product state simulator framework runs quantum kernel SVMs at 165 features and 6400 samples, finding a CPU-to-GPU crossover and an empirical accuracy scaling with data and features.