Results 71 to 80 of about 2,154,721 (280)
A novel image encryption scheme based on Kepler’s third law and random Hadamard transform [PDF]
, 2017 In this paper, a novel image encryption scheme based on Kepler’s third law and random Hadamard transform is proposed to ensure the security of a digital image.
Cao, Yi +4 more
core +2 more sources
Pulse‐Level Quantum Robust Control with Diffusion‐Based Reinforcement Learning
Advanced Physics Research, EarlyView.This paper proposes a diffusion‐based reinforcement learning method for pulse‐level quantum robust control (PQC‐DBRL) to enhance the robustness of pulse‐level quantum gate control. When evaluated across different Hamiltonian variations, PQC‐DBRL shows a smaller fidelity variance compared to GRAPE, indicating higher robustness against system parameter ...
Yuanjing Zhang +3 more
wiley +1 more source
Using the Hadamard and related transforms for simplifying the spectrum of the quantum baker's map
, 2006 We rationalize the somewhat surprising efficacy of the Hadamard transform in simplifying the eigenstates of the quantum baker's map, a paradigmatic model of quantum chaos.
Allouche J P +17 more
core +1 more source
Hadamard matrices in $\{0,1\}$ presentation and an algorithm for generating them [PDF]
arXiv, 2021 Hadamard matrices are square $n\times n$ matrices whose entries are ones and minus ones and whose rows are orthogonal to each other with respect to the standard scalar product in $\Bbb R^n$. Each Hadamard matrix can be transformed to a matrix whose entries are zeros and ones. This presentation of Hadamard matrices is investigated in the paper and based
arxiv
Deep Learning for Bond Yield Forecasting: The LSTM‐LagLasso
International Journal of Finance &Economics, EarlyView.ABSTRACT We present long short‐term memory (LSTM)‐LagLasso, a novel explainable deep learning approach applied to bond yield forecasting. Our method involves feature selection from a large universe of potential features and forecasts bond yields using dynamic LSTM networks.
Manuel Nunes +4 more
wiley +1 more source
Metaheuristics in the Optimization of Cryptographic Boolean Functions
Entropy, 2020 Generating Boolean Functions (BFs) with high nonlinearity is a complex task that is usually addresses through algebraic constructions. Metaheuristics have also been applied extensively to this task. However, metaheuristics have not been able to attain so
Isaac López-López +4 more
doaj +1 more source
Symmetry, 2019 Proof of ownership on multimedia data exposes users to significant threats due to a myriad of transmission channel attacks over distributed computing infrastructures.
Tahmina Khanam +3 more
semanticscholar +1 more source
The Role of Proton Magnetic Resonance Spectroscopy in Neonatal and Fetal Brain Research
Journal of Magnetic Resonance Imaging, EarlyView.The biochemical composition and structure of the brain are in a rapid change during the exuberant stage of fetal and neonatal development. 1H‐MRS is a noninvasive tool that can evaluate brain metabolites in healthy fetuses and infants as well as those with neurological diseases.
Steve C.N. Hui +2 more
wiley +1 more source
A hybrid classical-quantum algorithm for solution of nonlinear ordinary differential equations
, 2022 A hybrid classical-quantum approach for the solution of nonlinear ordinary differential equations using Walsh-Hadamard basis functions is proposed. Central to this hybrid approach is the computation of the Walsh-Hadamard transform of arbitrary vectors ...
Shukla, Alok, Vedula, Prakash
core
Hadamard NMR spectroscopy for two-dimensional quantum information processing and parallel search algorithms [PDF]
, 2006 Hadamard spectroscopy has earlier been used to speed-up multi-dimensional NMR experiments. In this work we speed-up the two-dimensional quantum computing scheme, by using Hadamard spectroscopy in the indirect dimension, resulting in a scheme which is faster and requires the Fourier transformation only in the direct dimension.
arxiv +1 more source