Microwave Detection Using Two-Atom-Thick Self-Switching Diodes Based on Quantum Simulations and Advanced Circuit Models

Graphene Self Switching Diodes

Self-Switching Diodes (SSD) are two terminal Nano-devices that rectify current based purely on a field effect, without the need for a third gate terminal to apply this field. They can be fabricated simply by etching two L-shaped trenches back-to-back giving rise to asymmetrical nanowires that have rectifying characteristics similar to those of conventional diodes [1]. SSDs can operate at high f...

Terahertz tunable detection in self-switching diodes based on high mobility semiconductors: InGaAs, InAs and InSb

Self-Switching Diodes for Zero-Bias Terahertz Detection

.................................................................................................................. iii List of publications .................................................................................................. v Abbreviations and notations ................................................................................. ix

Simulations of Quantum XXZ Models on Two-Dimensional Frustrated Lattices

We report recent progress in the study of a particular class of spin 1/2 XXZ model on two-dimensional lattices with frustrated diagonal and unfrustrated off-diagonal interactions. Quantum Monte Carlo simulations can be constructed without a sign problem, however they require non-trivial algorithmic advances in order to combat freezing tendencies. We discuss results obtained using these techniqu...

Outlier Detection Using Extreme Learning Machines Based on Quantum Fuzzy C-Means

One of the most important concerns of a data miner is always to have accurate and error-free data. Data that does not contain human errors and whose records are full and contain correct data. In this paper, a new learning model based on an extreme learning machine neural network is proposed for outlier detection. The function of neural networks depends on various parameters such as the structur...