Results 61 to 70 of about 3,442 (165)
Q2SV: A High‐Level Synthesis Approach for State Vector Quantum Simulation
This study presents Q2SV, an FPGA‐based quantum state vector simulator implemented using high‐level synthesis (HLS), capable of simulating quantum circuits with up to 29 qubits. Using FPGA parallelism, efficient memory allocation, and hardware‐optimized execution pipelines, Q2SV achieves scalable quantum simulation without requiring iterative ...
Ahmad Bennakhi +3 more
wiley +1 more source
An efficient quantum algorithm for ensemble classification using bagging
A new quantum algorithm that exploits quantum superposition, entanglement, and interference to build an ensemble of classification models is introduced. Thanks to the generation of several quantum trajectories in superposition, the authors obtain an exponentially large number of base models increasing only linearly the depth of the correspondent ...
Antonio Macaluso +3 more
wiley +1 more source
Advances in Quantum Imaging with Machine Intelligence
Quantum imaging exemplifies the fascinating and counter‐intuitive nature of the quantum world, where non‐local correlations are exploited for the imaging of objects by remote and non‐interacting photons. The field has exploded of late, driven by advances in the fundamental understanding of these processes, but also by advances in technology.
Chané Moodley, Andrew Forbes
wiley +1 more source
Stress Detection using EEG Signal Based on Fast Walsh Hadamard transform and Voting Classifier
Abstract Mental stress is currently a significant concern, especially among the young. Stress adversely affects the overall performance of people’s work, and in certain cases, can even cause serious health issues. Everyone experiences stress in life.
Navdeep Shakya +2 more
openaire +1 more source
Abstract Accurate assessment of cerebral perfusion is vital for understanding the hemodynamic processes involved in various neurological disorders and guiding clinical decision‐making. This guidelines article provides a comprehensive overview of quantitative perfusion imaging of the brain using multi‐timepoint arterial spin labeling (ASL), along with ...
Joseph G. Woods +33 more
wiley +1 more source
Anomaly Detection for Suspension Systems Based on the Gaussian Distribution of Hyperspheres
The abnormality of the suspension system means that the operating state of the suspension system does not match the expected state, and the system has no faults in the actual operation of the middle-low speed maglev train.
Ping WANG, Zi MEI, Zhiqiang LONG
doaj
Quantum mechanics requires the operation of quantum computers to be unitary, and thus makes it important to have general techniques for developing fast quantum algorithms for computing unitary transforms.
Hoyer, Peter
core +2 more sources
Recycling Randomness with Structure for Sublinear time Kernel Expansions [PDF]
We propose a scheme for recycling Gaussian random vectors into structured matrices to approximate various kernel functions in sublinear time via random embeddings.
Choromanski, Krzysztof, Sindhwani, Vikas
core +1 more source
Brain Tumor Segmentation Based on α‐Expansion Graph Cut
ABSTRACT In recent years, there has been an increased interest in using image processing, computer vision, and machine learning in biological and medical imaging research. One area of this interest is the diagnosis of brain tumors, which is considered a difficult and time‐consuming task traditionally performed manually.
Roaa Soloh +4 more
wiley +1 more source
A composite spread spectrum sequence for underwater acoustic signal acquisition
This article explores the acquisition performance of spectrum spread sequence based on underwater acoustic (UWA) channel. To overcome the limitations of conventional sequences, a composite chaotic orthogonal sequence (CCOS) is proposed as spectrum spread sequence and a source‐target model is constructed for simulation. In addition, a parallel algorithm
Chenyu Zhang, Huabing Wu
wiley +1 more source

