Quantum Machine Learning, Logic Minimization, and Circuit Design by Optimizing Ternary-Input Binary-Output Kronecker Reed-Muller Forms.
Maggie BaoCole PowersMarek A. PerkowskiPublished in: FLAP (2022)
Keyphrases
- circuit design
- machine learning
- digital circuits
- desired output
- quantum computation
- input variables
- input data
- multiple output
- multi valued
- design automation
- hidden units
- logic circuits
- decision trees
- learning algorithm
- logical operations
- machine learning algorithms
- objective function
- computer vision
- active learning
- information extraction
- text classification
- knowledge acquisition
- multiple input
- quantum computing
- logic synthesis
- machine learning methods
- neural network
- support vector machine
- computer science
- knowledge base
- data mining
- quantum mechanics
- output space
- control signals
- artificial neural networks
- feature space
- pattern recognition
- floating gate