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Arrays of gate-defined semiconductor quantum dots are among the leading candidates for building scalable quantum processors. High-fidelity initialization, control, and readout of spin qubit registers require exquisite and targeted control…

This study presents the design, fabrication, and test of a micro accelerometer with intrinsic processing capabilities, that integrates the functions of sensing and computing in the same MEMS. The device consists of an inertial mass…

Emerging Technologies · Computer Science 2020-03-25 Bruno Barazani , Guillaume Dion , Jean-François Morissette , Louis Beaudoin , Julien Sylvestre

The measurement of the magnetic field in the tracking volume inside the superconducting coil of the Compact Muon Solenoid (CMS) detector under construction at CERN is done with a fieldmapper designed and produced at Fermilab. The…

Memristors, when utilized as electronic components in circuits, can offer opportunities for the implementation of novel reconfigurable electronics. While they have been used in large arrays, studies in ensembles of devices are comparatively…

Applied Physics · Physics 2022-04-06 Vasileios Manouras , Spyros Stathopoulos , Alex Serb , Themis Prodromakis

Two-dimensional (2D) materials, such as molybdenum disulfide (MoS2), have been shown to exhibit excellent electrical and optical properties. The semiconducting nature of MoS2 allows it to overcome the shortcomings of zero-bandgap graphene,…

Mesoscale and Nanoscale Physics · Physics 2012-09-17 Han Wang , Lili Yu , Yi-Hsien Lee , Yumeng Shi , Allen Hsu , Matthew Chin , Lain-Jong Li , Madan Dubey , Jing Kong , Tomas Palacios

The method of Direct Digital Drive is applied to a microring resonator. The microring resonator is thus controlled by a segmented set of electrodes each of which is driven by binary (digital) signal. Digital linearization is performed with…

Optics · Physics 2016-03-15 Yossef Ehrlichman , Ofer Amrani , Shlomo Ruschin

The majority of microelectromechanical system (MEMS) devices must be combined with integrated circuits (ICs) for operation in larger electronic systems. While MEMS transducers sense or control physical, optical or chemical quantities, ICs…

Solid-state quantum computers require classical electronics to control and readout individual qubits and to enable fast classical data processing [1-3]. Integrating both subsystems at deep cryogenic temperatures [4], where solid-state…

A research of inductive conductometric cell is presented. An equivalent circuit and a mathematical model of inductive cell are given in the article. The model takes into account sample-coil capacity (i.e. capacity formed by the coil and the…

Instrumentation and Detectors · Physics 2013-05-01 Yury S. Semenov

Adapting electronics to perfectly conform to non-planar and rough surfaces, such as human skin, is a very challenging task which, if solved, could open up new applications in fields of high economic and scientific interest ranging from…

A novel approach for the control of exciton-exciton Coulomb coupling in semiconductor macroatoms/molecules is proposed. We show that by applying properly tailored external fields, we can induce ---or significantly reinforce--- excitonic…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 I. D'Amico , F. Rossi

Besides striving to assemble more and more qubits in a single monolithic quantum device, taking a modular design strategy may mitigate numerous engineering challenges for achieving large-scalable quantum processors with superconducting…

Quantum Physics · Physics 2022-08-10 Peng Zhao , Yingshan Zhang , Guangming Xue , Yirong Jin , Haifeng Yu

We present a physics-based compact model for two-dimensional (2D) field-effect transistors (FETs) based on monolayer semiconductors such as MoS2. A semi-classical transport approach is appropriate for the 2D channel, enabling simplified…

Mesoscale and Nanoscale Physics · Physics 2019-08-14 Saurabh V. Suryavanshi , Eric Pop

The fundamental building blocks of modern silicon-based microelectronics, such as double gate transistors in non-volatile Flash memories, are based on the control of electrical resistance by electrostatic charging. Flash memories could soon…

Materials Science · Physics 2013-04-23 Laurent Cario , Cristian Vaju , Benoit Corraze , Vincent Guiot , Etienne Janod

This paper describes a 8 bits, 20 Msamples/s pipeline analog-to-digital converter implemented in 0.6 \mu m CMOS technology with a total power dissipation of 75.47 mW. Circuit techniques used include a precise comparator, operational…

Robotics · Computer Science 2008-08-05 Eri Prasetyo , Dominique Ginhac , Michel Paindavoine

We present the design, realization and performance of a three-axis vector nano Superconducting QUantum Interference Device (nanoSQUID). It consists of three mutually orthogonal SQUID nanoloops that allow distinguishing the three components…

Superconductivity · Physics 2016-06-24 M. J. Martínez-Pérez , D. Gella , B. Müller , V. Morosh , R. Wöbling , J. Sesé , O. Kieler , R. Kleiner , D. Koelle

The electronic conduction of a novel, three-terminal molecular architecture, analogous to a heterojunction bipolar transistor is studied. In this architecture, two diode arms consisting of donor-acceptor molecular wires fuse through a ring,…

Mesoscale and Nanoscale Physics · Physics 2009-11-13 Haiying He , Ravindra Pandey , Shashi P. Karna

Optical chirality is central to many industrial photonic technologies including enantiomer identification, ellipsometry-based tomography and spin multiplexing in optical communication. However, a substantial chiral response requires a…

Optics · Physics 2018-07-11 Longqing Cong , Prakash Pitchappa , Nan Wang , Ranjan Singh

Conventional 2D CMOS technology is reaching fundamental scaling limits, and interconnect bottleneck is dominating integrated circuit (IC) power and performance. While 3D IC technologies using Through Silicon Via or Monolithic Inter-layer…

Emerging Technologies · Computer Science 2016-05-09 Jiajun Shi , Mingyu Li , Santosh Khasanvis , Mostafizur Rahman , Csaba Andras Moritz

Abstract: Bionic learning with fused sensing, memory and processing functions outperforms artificial neural networks running on silicon chips in terms of efficiency and footprint. However, digital hardware implementation of bionic learning…

Emerging Technologies · Computer Science 2022-02-22 Shijie Wang , Xi Chen , Chao Zhao , Yuxin Kong , Baojun Lin , Yongyi Wu , Zhaozhao Bi , Ziyi Xuan , Tao Li , Yuxiang Li , Wei Zhang , En Ma , Zhongrui Wang , Wei Ma
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