[ad_1] Introduction Quantum-dot lasers have emerged as a promising technology for visible light communication due to their unique properties such as tunable emission wavelength, high efficiency, and low threshold current densities. This thesis aims to…
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[ad_1] Introduction Optical neural networks have emerged as an exciting technology with the potential to revolutionize optimization problems. This thesis explores the application of optical neural networks for solving optimization problems in various fields such…
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[ad_1] Introduction The field of neuromorphic computing has gained significant attention in recent years due to its potential to mimic the functionality of the human brain using electronic systems. One key component of neuromorphic systems…
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[ad_1] Thesis Overview: Acoustic meta-surfaces have gained significant attention in recent years due to their ability to manipulate sound waves in unprecedented ways. In particular, acoustic meta-surfaces have been used to design and fabricate acoustic…
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[ad_1] Introduction: Spintronic magnetic tunnel junctions have gained significant attention in recent years due to their potential applications in artificial synapses. These devices have the ability to mimic the synaptic connections in the human brain,…
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[ad_1] Introduction Terahertz plasmonic waveguides have emerged as promising candidates for on-chip communication due to their ability to guide electromagnetic waves in subwavelength dimensions. This has the potential to revolutionize the field of integrated circuits…
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[ad_1] Introduction In recent years, there has been a growing interest in developing autonomous robots that can perceive and interact with their environment in a more human-like manner. One key challenge in achieving this goal…
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[ad_1] Introduction Quantum error detection codes play a crucial role in the field of quantum computing, as they provide a mechanism to protect quantum information from errors caused by noise and decoherence. With the rapid…
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[ad_1] Introduction Speech recognition is a critical component in many applications such as artificial intelligence, smart speakers, and voice-controlled devices. Traditional speech recognition systems rely on digital processors to process and analyze speech signals, which…
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[ad_1] Introduction Neuromorphic computing has gained significant attention in recent years due to its potential to revolutionize traditional computing architectures by mimicking the structure and function of the human brain. Spin-transfer torque oscillators (STOs) have…
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