HAMMER: boosting fidelity of noisy Quantum circuits by exploiting Hamming behavior of erroneous outcomes.
Swamit S. TannuPoulami DasRamin AyanzadehMoinuddin K. QureshiPublished in: CoRR (2022)
Keyphrases
- quantum computing
- logic circuits
- noisy data
- behavior patterns
- human behavior
- logic synthesis
- feature selection
- visual quality
- high speed
- ensemble methods
- analog circuits
- quantum mechanics
- weak learners
- noisy environments
- data sets
- cost sensitive
- distance measure
- semi supervised
- artificial neural networks
- learning algorithm