[ad_1] Introduction: Quantum-inspired simulated annealing algorithms have gained significant attention in recent years due to their ability to efficiently solve complex optimization problems. These algorithms combine principles from quantum computing with simulated annealing techniques to…
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[ad_1] Introduction In recent years, there has been a growing interest in exploring alternative computing architectures beyond traditional CMOS-based systems. One of the promising solutions that has emerged is Spin-wave computing architectures, which utilize the…
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[ad_1] Introduction: Memristors have emerged as a promising technology for implementing pattern recognition algorithms in computer vision due to their non-volatile memory and analog computing capabilities. This thesis aims to explore the potential of memristor-based…
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[ad_1] Introduction: Acoustic metamaterials have garnered significant attention in recent years due to their unique ability to manipulate sound waves. These artificial materials are engineered to exhibit unusual acoustic properties that are not typically found…
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[ad_1] Introduction In recent years, there has been a growing interest in spintronic magnetic tunnel junctions (MTJs) for memory applications due to their potential for high-speed, low-power, and non-volatile memory devices. Spintronic MTJs are a…
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[ad_1] Introduction: In recent years, the concept of topological insulators has garnered significant attention in the field of condensed matter physics for their unique electronic properties. These materials are characterized by the presence of robust…
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[ad_1] Introduction: Terahertz quantum well infrared photodetectors (QWIPs) have garnered significant attention in recent years due to their potential applications in various fields such as medical imaging, security screening, and communication systems. These devices offer…
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[ad_1] Introduction: Quantum-inspired particle swarm optimization (QPSO) is a cutting-edge optimization algorithm that combines principles from quantum computing and particle swarm optimization to create a powerful and efficient optimization technique. The integration of quantum mechanics…
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[ad_1] Introduction In recent years, deep learning has significantly advanced the field of image classification. Convolutional neural networks (CNNs) have shown remarkable success in various image recognition tasks, such as object detection, face recognition, and…
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[ad_1] Introduction In recent years, there has been a growing interest in the field of acoustic meta-surfaces for various applications such as beam steering, sound absorption, and wave manipulation. Acoustic meta-surfaces are artificial structures that…
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