Topic
NQS
About: NQS is a research topic. Over the lifetime, 337 publications have been published within this topic receiving 4226 citations.
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12 Jun 2016
TL;DR: In this article, a non-quasi-static (NQS) FET-based compact model with non-resonant plasmonic detection mechanism in terahertz (THz) frequency regime was proposed.
Abstract: We propose new non-quasi-static (NQS) FET-based compact model with non-resonant plasmonic detection mechanism in terahertz (THz) frequency regime by verifying the successful transient and plasmonic response simulation at R g = 0.2 Ω. In comparison with experimental results with t d = 50 ns, we obtain the validity of our compact model for designing a real-time operating multi-pixel plasmonic THz detector.
16 Apr 2007
TL;DR: Through the simulation results of the QS and NQS model with the comparison to the measured data, it is proved that the inclusion of the NZS effect would be a desirable feature for a RF model.
Abstract: High-frequency (HF) modeling of MOSFETs for radio-frequency (RF) integrated circuit (IC) design is discussed. Modeling of the quasi-static (QS) and non-quasi-static (NQS) effect is discussed. Through the simulation results of the QS and NQS model with the comparison to the measured data, it is proved that the inclusion of the NQS effect would be a desirable feature for a RF model.
31 Mar 2018
TL;DR: In this article, a rapid, sensitive and simple optimized spectrophotometric method is developed for the determination of Glucosamine (GL) based on reaction of GL with sodium 1,2-naphthoquinone-4-sulphonate (NQS) in alkaline medium forming orange colored product which measured at 451 nm.
Abstract: A rapid, sensitive and simple optimized spectrophotometric method is developed for the determination of Glucosamine (GL) based on reaction of GL with sodium 1,2-naphthoquinone-4-sulphonate (NQS) in alkaline medium forming orange colored product which measured at 451 nm The method optimization was essential as many procedural parameters influenced the efficiency and reproducibility of the derivatization process including the reaction time, reaction temperature, NQS concentration, alkali concentration and solvents The objective of our study was to optimize and validate a spectrophotometric method using the reaction of GL with NQS for determining GL in dosage form The factors that may influence the efficiency and reproducibility of the derivatization process were identified and optimized The proposed method was validated and successfully applied for the analysis of GL in dosage form Statistical comparison of the results of the proposed method with the reference method showed excellent agreement and proved that no significant difference in the accuracy and precision The developed method is easy to use, accurate and least cost-effective for routine studies relative to HPLC and other techniques
TL;DR: In this paper, Carleo and Troyer introduced a new type sampleable ansatz called neural-network quantum states (NQS) that are inspired by the restricted Boltzmann model used in machine learning.
Abstract: Correlator product states (CPS) are a powerful and very broad class of states for quantum lattice systems whose amplitudes can be sampled exactly and efficiently. They work by gluing together states of overlapping clusters of sites on the lattice, called correlators. Recently Carleo and Troyer Science 355, 602 (2017) introduced a new type sampleable ansatz called neural-network quantum states (NQS) that are inspired by the restricted Boltzmann model used in machine learning. By employing the formalism of tensor networks we show that NQS are a special form of CPS with novel properties. Diagramatically a number of simple observations become transparent. Namely, that NQS are CPS built from extensively sized GHZ-form correlators, which are related to a canonical polyadic decomposition of a tensor, making them uniquely unbiased geometrically. Another immediate implication of the equivalence to CPS is that we are able to formulate exact NQS representations for a wide range of paradigmatic states, including superposition of weighed-graph states, the Laughlin state, toric code states, and the resonating valence bond state. These examples reveal the potential of using higher dimensional hidden units and a second hidden layer in NQS. The major outlook of this study is the elevation of NQS to correlator operators allowing them to enhance conventional well-established variational Monte Carlo approaches for strongly correlated fermions.
03 Aug 1997
TL;DR: In this paper, a physically-based non-quasi-static (NQS) MOSFET model has been derived to provide accurate response at high frequencies for deep-submicron devices and long-channel power devices.
Abstract: A physically-based non-quasi-static (NQS) MOSFET model has been derived to provide accurate response at high frequencies for deep-submicron devices and long-channel power devices. The model is valid over a wide range of device dimensions and different operating conditions. The model has been evaluated by the comparison of the 50-/spl Omega/ S parameters obtained by using Berkeley SPICE3 with those measured experimentally.