Many promising approaches to fault-tolerant quantum computation require repeated nondemolition (QND) readout of binary observables such as bits (qubits). A commonly used figure merit for performance is the error rate assignment in a single repetition. However, it known that this insufficient. Indeed, real-world outcomes are typically analog instead binary. Binary therefore discards important in...

This paper presents a Successive Approximation Register Analog-to-Digital Converter (SAR ADC) design for sensor applications. An energy-saving switching technique is proposed to achieve ultra low power consumption. The measured Signal-to-Noise-and-Distortion Ratio (SNDR) of the ADC is 58.4 dB at 2 MS/s with an ultra-low power consumption of only 6.6 μW from a 0.8V supply, resulting in a Figure-...

An infrared refractive index sensor based on plasmonic perfect absorbers for glucose concentration sensing is experimentally demonstrated. Utilizing substantial absorption contrast between a perfect absorber (∼98% at normal incidence) and a non-perfect absorber upon the refractive index change, a maximum value of figure of merit (FOM*) about 55 and a bulk wavelength sensitivity about...

Abstract Quest for alternate energy sources is the core of most research activities these days. No matter how small or large amount can be produced by utilizing non-conventional techniques and sources, every bit innovation reshape future energy. In this work, experimental analysis thermoelectric (TE) properties bulk-graphene in temperature range (303 to 363) K presented. Graphene powder was pre...

Stochastic resonance (SR) is a phenomenon where the noise of certain intensity helps to improve signal-to-noise ratio (SNR) nonlinear systems. This brief applies this concept successive approximation register (SAR) analog-to-digital converter (ADC) enhance its performance. To effective number bits SAR ADC, some additional comparisons are repeated after normal binary search. The theoretical anal...

We propose a pioneering approach that integrates optimization algorithms and technology computer-aided design to automatically optimize laterally-diffused metal-oxide-semiconductors (LDMOS) with field-oxide structure. define the ratio of square breakdown voltage divided by specific on-resistance as figure-of-merit (FOM) objective function our optimization. compare performance three different al...

An innovative 8 transistor (8T) static random access memory (SRAM) architecture with a simple and reliable read operation is presented in this study. LTspice software used to implement the suggested topology 16nm predictive technology model (PTM). Investigations into comparisons conventional 6T, 8T, 9T, 10T SRAM cells have been made regarding write operations' delay power consumption as well pr...

The decomposition of the cosmic shear field into Eand B-mode is an important diagnostic in weak gravitational lensing. However, commonly used techniques to perform this separation suffer from mode-mixing on very small or very large scales. We introduce a new E-/B-mode decomposition of the cosmic shear two-point correlation on a finite interval. This new statistic is optimised for cosmological a...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...