Quantum social network analysis: Methodology, implementation, challenges, and future directions
Quantum social network analysis (QSNA) is a recent advancement in the interdisciplinary
field of quantum computing and social network analysis. This manuscript comprehensively …
field of quantum computing and social network analysis. This manuscript comprehensively …
Rapid solution of logical equivalence problems by quantum computation algorithm
We present a quantum computation algorithm that enables solving the problem of logical
equivalence verification in exponentially less time than the classical deterministic …
equivalence verification in exponentially less time than the classical deterministic …
Configurable sublinear circuits for quantum state preparation
The theory of quantum algorithms promises unprecedented benefits of harnessing the laws
of quantum mechanics for solving certain computational problems. A prerequisite for …
of quantum mechanics for solving certain computational problems. A prerequisite for …
Quantum teleportation and dynamics of quantum coherence and metrological non-classical correlations for open two-qubit systems
We investigate the dynamics of non-classical correlations and quantum coherence in open
quantum systems by employing metrics like local quantum Fisher information, local quantum …
quantum systems by employing metrics like local quantum Fisher information, local quantum …
RoBERTa, ResNeXt and BiLSTM with self-attention: The ultimate trio for customer sentiment analysis
Sentiment analysis of customer feedback is a pivotal component of Natural Language
Processing (NLP), enabling businesses to gauge consumer emotions towards their products …
Processing (NLP), enabling businesses to gauge consumer emotions towards their products …
Femtosecond nonlinear optical properties of push–pull chromopohores using Z-scan technique: experimental and computational studies
To shed the light about the effect of the linkers of the small organic molecules on their optical
properties, we examine herein the linear, and nonlinear optical properties of the two easy …
properties, we examine herein the linear, and nonlinear optical properties of the two easy …
A multi-embedding fusion network for attributed graph clustering
H Liu, X Lu, K Cheng, X Liu - Applied Soft Computing, 2024 - Elsevier
Attributed graph clustering, which aims to learn embedding representation and divides
nodes into different groups, has attracted increasing attention in recent years. Existing …
nodes into different groups, has attracted increasing attention in recent years. Existing …
Beyond Bits: A Review of Quantum Embedding Techniques for Efficient Information Processing
The existing body of research on quantum embedding techniques is not only confined in
scope but also lacks a comprehensive understanding of the intricacies of the quantum …
scope but also lacks a comprehensive understanding of the intricacies of the quantum …
Different transfer learning approaches for insect pest classification in cotton
Boll weevil is an important pest that affects cotton crops worldwide, causing significant
economic losses. The classification of the boll-weevil population is crucial for develo** …
economic losses. The classification of the boll-weevil population is crucial for develo** …
Multi-layer double deep Q network for active distribution network equivalent modeling with internal identification for EV loads
With more and more distributed renewable energy generations and diversified electric
vehicle (EV) loads connected to active distribution networks (ADNs), the power interaction …
vehicle (EV) loads connected to active distribution networks (ADNs), the power interaction …