1. Home
  2. virginia tech electrical engineering masters

Tag: virginia tech electrical engineering masters

Spin-wave multiplexing and demultiplexing – Complete Phd and Masters Thesis

Spin-wave multiplexing and demultiplexing – Complete Phd and Masters Thesis

[ad_1] Introduction: Spin-wave multiplexing and demultiplexing is a promising technique for increasing the data transmission capacity in magnetic materials. Spin waves, also known as magnons, are collective excitations of electron spins in magnetic materials that…

Read More
Photonic reservoir computing for nonlinear signal processing – Complete Phd and Masters Thesis

Photonic reservoir computing for nonlinear signal processing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, with the advancement of technology, there is an increasing demand for efficient and fast signal processing techniques to handle the ever-growing amount of data. Photonic reservoir computing has emerged as…

Read More
Terahertz metamaterial perfect absorbers – Complete Phd and Masters Thesis

Terahertz metamaterial perfect absorbers – Complete Phd and Masters Thesis

[ad_1] Introduction Terahertz (THz) metamaterial perfect absorbers have emerged as a promising technology in the field of photonics and optoelectronics due to their unique properties and potential applications. These metamaterials are engineered structures that exhibit…

Read More
Neuromorphic visual attention models – Complete Phd and Masters Thesis

Neuromorphic visual attention models – Complete Phd and Masters Thesis

[ad_1] Introduction: Neuromorphic visual attention models have gained significant attention in recent years due to their potential to mimic the visual processing mechanisms of the human brain. These models aim to replicate the selective attention…

Read More
Quantum sensing with atomic vapors – Complete Phd and Masters Thesis

Quantum sensing with atomic vapors – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: Introduction: Quantum sensing with atomic vapors has emerged as a promising field in the realm of quantum technology, offering highly sensitive and precise measurement capabilities for a wide range of applications. This…

Read More
Spin-orbit torque devices for magnetic memory – Complete Phd and Masters Thesis

Spin-orbit torque devices for magnetic memory – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in Spin-Orbit Torque (SOT) devices for magnetic memory applications due to their potential for low power consumption and high speed operation. These devices utilize…

Read More
Memristor-based neuromorphic learning algorithms – Complete Phd and Masters Thesis

Memristor-based neuromorphic learning algorithms – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the development of neuromorphic computing has gained significant attention due to its potential to mimic the way the human brain processes information. One of the key components of neuromorphic computing…

Read More
Spin-based quantum computing – Complete Phd and Masters Thesis

Spin-based quantum computing – Complete Phd and Masters Thesis

[ad_1] Introduction: Spin-based quantum computing is an emerging field in the realm of quantum information processing, which utilizes the intrinsic angular momentum of particles such as electrons and nuclei to encode and manipulate quantum information.…

Read More
Terahertz quantum cascade lasers for gas sensing – Complete Phd and Masters Thesis

Terahertz quantum cascade lasers for gas sensing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the development of Terahertz quantum cascade lasers (QCLs) for gas sensing applications. Terahertz radiation, which lies in the frequency range between microwave and…

Read More
Quantum-inspired simulated annealing algorithms – Complete Phd and Masters Thesis

Quantum-inspired simulated annealing algorithms – Complete Phd and Masters Thesis

[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…

Read More
Translate »