[HTML][HTML] Quantum machine learning: A review and case studies
A Zeguendry, Z Jarir, M Quafafou - Entropy, 2023 - mdpi.com
Despite its undeniable success, classical machine learning remains a resource-intensive
process. Practical computational efforts for training state-of-the-art models can now only be …
process. Practical computational efforts for training state-of-the-art models can now only be …
[HTML][HTML] Quantum random access memory for dummies
Quantum Random Access Memory (QRAM) has the potential to revolutionize the area of
quantum computing. QRAM uses quantum computing principles to store and modify …
quantum computing. QRAM uses quantum computing principles to store and modify …
[HTML][HTML] Automated detection of Alzheimer's via hybrid classical quantum neural networks
Deep Neural Networks have offered numerous innovative solutions to brain-related
diseases including Alzheimer's. However, there are still a few standpoints in terms of …
diseases including Alzheimer's. However, there are still a few standpoints in terms of …
[HTML][HTML] Quantum service-oriented computing: current landscape and challenges
The development that quantum computing technologies are achieving is beginning to attract
the interest of companies that could potentially be users of quantum software. Thus, it is …
the interest of companies that could potentially be users of quantum software. Thus, it is …
Tailored and externally corrected coupled cluster with quantum inputs
We propose to use wave function overlaps obtained from a quantum computer as inputs for
the classical split-amplitude techniques, tailored and externally corrected coupled cluster, to …
the classical split-amplitude techniques, tailored and externally corrected coupled cluster, to …
[HTML][HTML] qrobot: A quantum computing approach in mobile robot order picking and batching problem solver optimization
P Atchade-Adelomou, G Alonso-Linaje, J Albo-Canals… - Algorithms, 2021 - mdpi.com
This article aims to bring quantum computing to robotics. A quantum algorithm is developed
to minimize the distance traveled in warehouses and distribution centers where order …
to minimize the distance traveled in warehouses and distribution centers where order …
[HTML][HTML] Accurate image multi-class classification neural network model with quantum entanglement approach
Quantum machine learning (QML) has attracted significant research attention over the last
decade. Multiple models have been developed to demonstrate the practical applications of …
decade. Multiple models have been developed to demonstrate the practical applications of …
[HTML][HTML] Programming quantum neural networks on NISQ systems: an overview of technologies and methodologies
S Markidis - Entropy, 2023 - mdpi.com
Noisy Intermediate-Scale Quantum (NISQ) systems and associated programming interfaces
make it possible to explore and investigate the design and development of quantum …
make it possible to explore and investigate the design and development of quantum …
[HTML][HTML] Artificial intelligence computing at the quantum level
The extraordinary advance in quantum computation leads us to believe that, in the not-too-
distant future, quantum systems will surpass classical systems. Moreover, the field's rapid …
distant future, quantum systems will surpass classical systems. Moreover, the field's rapid …