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Hybrid quantum-classical algorithms and quantum error mitigation
Quantum computers can exploit a Hilbert space whose dimension increases exponentially
with the number of qubits. In experiment, quantum supremacy has recently been achieved …
with the number of qubits. In experiment, quantum supremacy has recently been achieved …
[HTML][HTML] Machine learning in banking risk management: A literature review
There is an increasing influence of machine learning in business applications, with many
solutions already implemented and many more being explored. Since the global financial …
solutions already implemented and many more being explored. Since the global financial …
GHRS: Graph-based hybrid recommendation system with application to movie recommendation
Research about recommender systems emerges over the last decade and comprises
valuable services to increase different companies' revenue. While most existing …
valuable services to increase different companies' revenue. While most existing …
Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …
and industries including computational science, mathematics, finance, pharmaceutical …
Entanglement devised barren plateau mitigation
Hybrid quantum-classical variational algorithms are one of the most propitious
implementations of quantum computing on near-term devices, offering classical machine …
implementations of quantum computing on near-term devices, offering classical machine …
[HTML][HTML] Artificial intelligence in perinatal mental health research: A sco** review
ABSTRACT The intersection of Artificial Intelligence (AI) and perinatal mental health
research presents promising avenues, yet uncovers significant challenges for innovation …
research presents promising avenues, yet uncovers significant challenges for innovation …
[HTML][HTML] An unsupervised machine learning approach for real-time damage detection in bridges
The bridge network is progressively aging, with an alarming proportion of bridges over 100
years. This situation engenders substantial risks to the overall reliability of transportation …
years. This situation engenders substantial risks to the overall reliability of transportation …
Variational quantum eigensolver with reduced circuit complexity
The variational quantum eigensolver (VQE) is one of the most promising algorithms to find
eigenstates of a given Hamiltonian on noisy intermediate-scale quantum devices (NISQ) …
eigenstates of a given Hamiltonian on noisy intermediate-scale quantum devices (NISQ) …
A review on machine learning implementation for predicting and optimizing the mechanical behaviour of laminated fiber-reinforced polymer composites
Abstract The utilization of Machine Learning (ML) techniques in the analysis of the
mechanical behavior of fiber-reinforced polymers (FRP) has been increasingly applied in …
mechanical behavior of fiber-reinforced polymers (FRP) has been increasingly applied in …
IoT security with Deep Learning-based Intrusion Detection Systems: A systematic literature review
In the recent years, Internet of things (IoT) is rising increasingly to become a big research
topic due to the billions of devices dispatched around the world. These devices are …
topic due to the billions of devices dispatched around the world. These devices are …