[ad_1] Introduction: Quantum-dot photonic crystal lasers have emerged as a promising technology for high-performance and energy-efficient light sources. These lasers combine the unique properties of quantum dots and photonic crystals to achieve superior performance in…
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[ad_1] Introduction: Terahertz (THz) metamaterial absorbers have been the subject of much research in recent years due to their unique properties and potential applications in various fields such as communication, sensing, imaging, and security. These…
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[ad_1] Introduction Neuromorphic proprioceptive sensors have gained significant attention in recent years due to their potential to mimic sensory processes found in biological systems. These sensors, inspired by the sensory neurons in the human body,…
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[ad_1] Introduction Quantum error correction codes have become an essential research area in quantum computing due to the fragility of quantum information. Quantum systems are susceptible to errors caused by noise, making it challenging to…
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[ad_1] Introduction: Memristors are novel two-terminal passive circuit elements that exhibit a nonlinear relationship between the charge flowing through them and the flux linkage across them. This unique property makes them ideal candidates for the…
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[ad_1] Introduction Acoustic cloaking for underwater vehicles has been a topic of increasing interest in recent years due to its potential to revolutionize underwater stealth technology. This technology allows underwater vehicles to move undetected by…
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[ad_1] Introduction Spintronic magnetic tunnel junctions are a type of solid-state device that has gained significant attention in recent years due to their potential applications in various fields such as information storage, magnetic sensors, and…
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[ad_1] Introduction Electromagnetic tissue engineering techniques have emerged as a promising approach in the field of regenerative medicine. These techniques involve the use of electromagnetic fields to manipulate cells and tissues for various biomedical applications,…
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[ad_1] Introduction The field of reinforcement learning has experienced significant advancements in recent years, particularly with the emergence of quantum-inspired approaches. Quantum-inspired reinforcement learning combines principles from quantum computing with traditional reinforcement learning algorithms to…
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[ad_1] Introduction Pattern recognition is an essential aspect of many advanced technologies, such as artificial intelligence, machine learning, and image processing. It involves identifying patterns and regularities in data, which can be used for tasks…
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