About Optimal Quantum Circuits for General Two-Qubit Gates Magic Basis Theorem 1 Theorem 3 Every two-qubit quantum...
MachineLearning
About Panoptic Quality (PQ) is an evaluation metric for panoptic segmentation, designed to integrate and assess the...
The Bayesian Information Criterion (BIC) is a measure used for statistical model selection. It helps to determine...
About Ridge regression is a linear regression method that estimates weight parameters based on a nonlinear function...
About Pick up a sample from Multi-Variant Gaussian Distribution is sometimes important for applications like Gaussian Process....
Cholesky Decomposition A positive definite Hermite matrix is decompose to lower triangular matrix L and its conjugate...
About Special Unitary Group of degree (n) SU(n) refers to the n-dimensional case of the special unitary...
About To optimize parameters, estimating gradients is quite important. Since the optimization is highly depending on gradient...
Reasoning the result from machine learning models is one of the most demanded task from business side...
EM Steps in general Given the joint distribution p(X, Z) of observed variables and latent variables, parameterized...
