Results 51 to 60 of about 2,108,354 (300)
Hadamard NMR spectroscopy for two-dimensional quantum information processing and parallel search algorithms [PDF]
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 ...
Anderson +47 more
core +2 more sources
A Characterization of Generalized Boolean Functions Employed in CDMA Communications [PDF]
In design of secure cryptosystems and CDMA communications, the negabent functions play a significant role. The generalized Boolean functions have been extensively studied by Schmidt and established several important results in this setup.
Deep Singh +3 more
doaj +1 more source
Quantum Computing and a Unified Approach to Fast Unitary Transforms
A quantum computer directly manipulates information stored in the state of quantum mechanical systems. The available operations have many attractive features but also underly severe restrictions, which complicate the design of quantum algorithms.
Agaian, Sos S., Klappenecker, Andreas
core +1 more source
Transformer Encoder–Decoder Framework for Nonlinear Pulse Evolution and Inverse Modeling
Modeling nonlinear pulse evolution in optical systems is key to advancing photonic technologies. A transformer‐based encoder‐decoder framework is proposed for both forward and inverse modeling, applied to supercontinuum generation. This approach captures complex dynamics efficiently, outperforming traditional methods in speed.
Dinesh Kumar Murugan +2 more
wiley +1 more source
The study has developed the first clinically validated hybrid EEG‐fNIRS brain‐computer interface fusion framework that systematically overcomes cross‐subject generalization barriers through a novel Wasserstein metric‐driven neural template selection mechanism.
Danyang Chen +18 more
wiley +1 more source
Interpretable PROTAC Degradation Prediction With Structure‐Informed Deep Ternary Attention Framework
PROTAC‐STAN, a structure‐informed deep learning framework is presented for interpretable PROTAC degradation prediction. By modeling molecular hierarchies and protein structures, and simulating ternary interactions via a novel attention network, PROTAC‐STAN achieves significant performance gains over baselines.
Zhenglu Chen +11 more
wiley +1 more source
Design and Implementation of Sequency-Ordered Fast Walsh-Hadamard Transform (FWHT) in WCDMA
This paper presents the implementation of the Fast Walsh Hadamard Transform (FWHT) in sequence ordered method, in order to minimize the interference due to two users trying to transmit at the same time, and an attempt has made to simulate them.
Safaa M. Z. Al-Ubaidi
doaj +1 more source
Metaheuristics in the Optimization of Cryptographic Boolean Functions
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
A Fourier-analytic Approach to Counting Partial Hadamard Matrices
In this paper, we study a family of lattice walks which are related to the Hadamard conjecture. There is a bijection between paths of these walks which originate and terminate at the origin and equivalence classes of partial Hadamard matrices. Therefore,
de Launey, Warwick, Levin, David A.
core +1 more source
Quantum‐Inspired Fourier Transforms Based on Circuits
An analog scheme of classical circuit for the quantum Fourier transform is proposed. The number of the basic computing components employed in the circuit design is consistent with the number of the quantum gate in the quantum circuit. The information is encoded using correlated electrical signals.
Hanxu Zhang, Yifan Sun, Xiangdong Zhang
wiley +1 more source

