The maximum-likelihood quantum amplitude estimation algorithm provides the best tradeoff between accuracy and circuit depth among quantum solutions for integral estimation.
Marco MaroneseMassimiliano IncudiniLuca AsproniEnrico PratiPublished in: QCE (2023)
Keyphrases
- estimation algorithm
- maximum likelihood
- logic circuits
- parameter estimation
- quantum computing
- em algorithm
- maximum a posteriori
- computational complexity
- contour tracking
- expectation maximization
- computationally efficient
- depth map
- low power
- ofdm system
- parameters estimation
- hadamard transform
- log likelihood function
- fusion model
- multi view
- higher order