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Research on the quantum photonic convolutional neural network for artificial intelligence-based healthcare system security
Artificial intelligence (AI) has quickly integrated into contemporary healthcare organizations, providing a variety of purposes, including...
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Artificial intelligence (AI) for quantum and quantum for AI
The technological fields of AI and quantum technology have evolved in parallel, and have demonstrated considerable potential to complement each...
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Artificial intelligence and IoT based optical quantum computing application legal implications in privacy and regulatory analysis
Parallel developments in the realms of AI and quantum technology have shown a great deal of promise for mutual benefit. Combining them refers to...
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Integrated artificial intelligence and predictive maintenance of electric vehicle components with optical and quantum enhancements
The growing demand for electric vehicles (EVs) has necessitated the development of advanced maintenance systems to ensure their reliability,...
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Quantum secure two-party Euclidean distance computation based on mutually unbiased bases
Quantum secure multi-party geometry computation is a specific primitive of classical secure multi-party computation. Compared with classical secure...
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Recent progress on coherent computation based on quantum squeezing
Squeezed vacuum state of light is an important concept of quantum optics which has an uncertainty reduction in a specific quadrature compared to the...
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Quantum communication based cyber security analysis using artificial intelligence with IoMT
Connected electronic devices used in healthcare, such as small sensors and actuators and other cyber-physical devices, make up what is known as the...
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Neuro quantum computing based optoelectronic artificial intelligence in electroencephalogram signal analysis
With micrometre resolution, optical coherence tomography (OCT) is a noninvasive cross-sectional imaging method. The centre wavelength and bandwidth...
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Disturbance rejection in pattern recognition: a realization of quantum neural network
In the field of artificial intelligence, pattern recognition is widely used to extract the abstract information in those high dimensional inputs of...
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Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning
Explainable artificial intelligence is a research topic whose relevance has increased in recent years, especially with the advent of large machine...
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The duality game: a quantum algorithm for body dynamics modeling
In recent years, quantum algorithms have emerged as a groundbreaking approach toward solving complex computational problems, particularly in physical...
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Estimating quantum mutual information through a quantum neural network
We propose a method of quantum machine learning called quantum mutual information neural estimation (QMINE) for estimating von Neumann entropy and...
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Tailoring Quantum Matter in the Second Quantum Revolution
Matter comes to us in many different forms, whose deep theoretical understanding and high experimental control is leading science into the so-called...
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Noisy intermediate-scale quantum computers
Quantum computers have made extraordinary progress over the past decade, and significant milestones have been achieved along the path of pursuing...
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Fast and scalable quantum computing simulation on multi-core and many-core platforms
Quantum computing is an emerging and promising computational paradigm that provides substantial speedup for a variety of tasks such as integer...
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Design and Modelling of Silicon Quantum Dot Based Single Qubit Spin Quantum Gates
In the last two decades, a lot of research has been done for finding the best physical implementation of a quantum computer. Due to integrablity with...
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Anomaly detection speed-up by quantum restricted Boltzmann machines
Quantum machine learning promises to revolutionize traditional machine learning by efficiently addressing hard tasks for classical computation. While...
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Quantum optical techniques for quality data transmission process in cognitive networks
Due to the advancement of high definition, 5G technologies, the Internet of Things, and Artificial Intelligence, the demand for optical networks has...
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Quantum Mechanics and Data-Driven Physics
Why quantum machine learning? Quantum mechanics and data-driven physics are similar. We describe their connections by focusing on their mathematical...
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Can quantum genetic algorithm really improve quantum backpropagation neural network?
The key point of introducing quantum genetic algorithm to a quantum backpropagation neural network model is to overcome local stagnation problem...
