Results 81 to 90 of about 2,154,721 (280)
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
Complex Hadamard Matrix-Aided Generalized Space Shift Keying Modulation
IEEE Access, 2017 In this paper, we present a complex Hadamard matrix-aided generalized space shift keying (HSSK) modulation scheme, which introduces complex-Hadamard-based signal vectors at the transmitter to provide higher spectrum efficiency than generalized space ...
Han Hai +5 more
doaj +1 more source
Multiallelic Walsh transforms [PDF]
arXiv, 2023 A closed formula multiallelic Walsh (or Hadamard) transform is introduced. Basic results are derived, and a statistical interpretation of some of the resulting linear forms is discussed.
arxiv
What can we Learn from Quantum Convolutional Neural Networks?
Advanced Quantum Technologies, EarlyView.Quantum Convolutional Neural Networks have been long touted as one of the premium architectures for quantum machine learning (QML). But what exactly makes them so successful for tasks involving quantum data? This study unlocks some of these mysteries; particularly highlighting how quantum data embedding provides a basis for superior performance in ...
Chukwudubem Umeano +3 more
wiley +1 more source
Studies in Informatics and Control, 2018 : Colour image watermarking has become one of the most important algorithms for copyright protection. The following paper will present an innovative scheme for watermarking blind colour images using the discrete wavelet transform (DWT), fast Walsh ...
Omar Abodena, Mary Agoyi
semanticscholar +1 more source
Simulation of a Three‐Nucleons System Transition on Quantum Circuits
Advanced Quantum Technologies, EarlyView.A general procedure is presented to calculate the transition probability for two nuclear states and a transition operator. The ground state is approximated through the variational quantum eigensolver and the first excited one using more sophisticated variational algorithms.
Luca Nigro, Carlo Barbieri, Enrico Prati
wiley +1 more source
Galerkin Finite Element Method for Caputo–Hadamard Time-Space Fractional Diffusion Equation
MathematicsIn this paper, we study the Caputo–Hadamard time-space fractional diffusion equation, where the Caputo derivative is defined in the temporal direction and the Hadamard derivative is defined in the spatial direction separately.
Zhengang Zhao, Yunying Zheng
doaj +1 more source
Harmonic Hadamard manifolds and Gauss hypergeometric differential equations [PDF]
arXiv, 2018 A new class of harmonic Hadamard manifolds, those spaces called of hypergeometric type, is defined in terms of Gauss hypergeometric equations. Spherical Fourier transform defined on a harmonic Hadamard manifold of hypergeometric type admits an inversion formula.
arxiv
Qoolchain: A QUBO Preprocessing Toolchain for Enhancing Quantum Optimization
Advanced Quantum Technologies, EarlyView.This study introduces Qoolchain, a QUBO preprocessing toolchain developed in Cython to reduce problem size and enhance optimization solvers' performance, particularly for Grover Adaptive Search (GAS). Qoolchain includes persistency identification, decomposition, and probing to estimate function bounds, all with polynomial complexity and applies Grover ...
Giacomo Orlandi +3 more
wiley +1 more source
EXPLOITING PARTIALLY RECONFIGURABLE FPGA FOR PERFORMANCE ADJUSTMENT IN THE RVC FRAMEWORK [PDF]
, 2012 International audienceIn this paper, we present a method to implement a specific algorithm using the RVC framework and the dynamic partial reconfiguration (DPR). The DPR is a technique allowing to replace modules in a design at run-time.
Abid, Mohamed +3 more
core +2 more sources