Boosting Quantum Fidelity with an Ordered Diverse Ensemble of Clifford Canary Circuits.
Gokul Subramanian RaviJonathan M. BakerKaitlin N. SmithNathan EarnestAli Javadi-AbhariFrederic T. ChongPublished in: CoRR (2022)
Keyphrases
- ensemble methods
- quantum computing
- ensemble learning
- logic circuits
- base classifiers
- weak learners
- ensemble classification
- ensemble classifier
- logic synthesis
- weak classifiers
- quantum inspired
- base learners
- prediction accuracy
- random forests
- majority voting
- feature selection
- decision trees
- randomized trees
- random forest
- decision tree ensembles
- low power
- high speed
- boosting algorithms
- learning algorithm
- wide variety
- training set
- generalization ability
- machine learning methods
- classifier ensemble
- quantum computation
- real world
- delay insensitive
- strong classifier
- neural network
- weighted voting
- multiple classifier systems
- regression problems
- benchmark datasets
- multi class
- feature space
- data sets
- digital circuits
- quantum mechanics
- circuit design
- binary classification problems
- cost sensitive
- visual quality
- analog vlsi
- machine learning
- tunnel diode