Statistical Complexity of Quantum Learning
Advanced Quantum Technologies, EarlyView.The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi +3 more
wiley +1 more source
An Iterative Block Matrix Inversion (IBMI) Algorithm for Symmetric Positive Definite Matrices with Applications to Covariance Matrices [PDF]
A C PATERSON +2 more
openalex +1 more source
Quantum‐Noise‐Driven Generative Diffusion Models
Advanced Quantum Technologies, EarlyView.Diffusion Models (DMs) are today a very popular class of generative models for Machine Learning (ML), using a noisy dynamics to learn an unknown density probability of a finite set of samples in order to generate new synthetic data. This study proposes a method to generalize them into the quantum domain by introducing and investigating what are termed ...
Marco Parigi +2 more
wiley +1 more source
Robertmurraya beringensis Causing Late-Onset Sepsis in Neonates: A Case Series of a Hitherto Unreported Organism. [PDF]
CureusSingh A +6 more
europepmc +1 more source
A Fourier-Jacobi Dirichlet series for cusp forms on orthogonal groups. [PDF]
Res Number TheoryPsyroukis R.
europepmc +1 more source
Reference Tracking and Disturbance Rejection for Nonlinear Systems Using LPV Control
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT The Linear Parameter‐Varying (LPV) framework has been introduced with the intention to provide stability and performance guarantees for analysis and controller synthesis for Nonlinear (NL) systems through convex methods. By extending results of the Linear Time‐Invariant framework, mainly based on quadratic stability and performance using ...
Patrick J. W. Koelewijn +3 more
wiley +1 more source
The largest and the smallest characteristic roots of a positive definite matrix
Journal of Mathematical Analysis and Applications, 1982 openaire +2 more sources
Distributed Leader‐Following Formation of Discrete‐Time Multi‐Agent LPV Systems
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper addresses the leader‐following formation consensus problem for multi‐agent systems (MASs) with agents represented by discrete‐time linear parameter‐varying (LPV) models. The scenario where each agent can be modeled with distinct time‐varying scheduling parameters is investigated with respect to compensation signals.
Paulo S. P. Pessim +4 more
wiley +1 more source
Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages. [PDF]
PLoS OneSenthil S +6 more
europepmc +1 more source