Moderate quantum randomness, and in some cases physical noise, improved MNIST classification accuracy on trapped-ion and IBM hardware compared with the classical limit.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware
Moderate quantum randomness, and in some cases physical noise, improved MNIST classification accuracy on trapped-ion and IBM hardware compared with the classical limit.