Proceedings:
No. 8: AAAI-22 Technical Tracks 8
Volume
Issue:
Proceedings of the AAAI Conference on Artificial Intelligence, 36
Track:
AAAI Technical Track on Machine Learning III
Downloads:
Abstract:
Quantum computers can theoretically have significant acceleration over classical computers; but, the near-future era of quantum computing is limited due to small number of qubits that are also error prone. QUILT is a framework for performing multi-class classification task designed to work effectively on current error-prone quantum computers. QUILT is evaluated with real quantum machines as well as with projected noise levels as quantum machines become more noise free. QUILT demonstrates up to 85% multi-class classification accuracy with the MNIST dataset on a five-qubit system.
DOI:
10.1609/aaai.v36i8.20807
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence, 36