A supervised quantum Boltzmann machine with parallel annealing reaches small-CNN-level accuracy on PneumoniaMNIST and BreastMNIST in fewer epochs, while cutting QPU time by 69.65% versus sequential annealing.
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
quant-ph 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
A supervised quantum Boltzmann machine with parallel annealing reaches small-CNN-level accuracy on PneumoniaMNIST and BreastMNIST in fewer epochs, while cutting QPU time by 69.65% versus sequential annealing.