Experimental demonstration of quantum anomaly detection on audio-encoded states using a three-qubit diamond spin processor, achieving a minimum error rate of 15.4%.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
quant-ph 2verdicts
UNVERDICTED 2representative citing papers
Machine learning on time traces of repetitive qubit readouts improves fidelity over threshold photon counting by identifying back-action.
citing papers explorer
-
Quantum Anomaly Detection with a Spin Processor in Diamond
Experimental demonstration of quantum anomaly detection on audio-encoded states using a three-qubit diamond spin processor, achieving a minimum error rate of 15.4%.
-
Repetitive Readout Enhanced by Machine Learning
Machine learning on time traces of repetitive qubit readouts improves fidelity over threshold photon counting by identifying back-action.