Circuit Elements Research Articles

A parametrically programmable delay line for microwave photons

Delay lines that store quantum information are crucial for advancing quantum repeaters and hardware efficient quantum computers. Traditionally, they are realized as extended systems that support wave propagation but provide limited control over the propagating fields. Here, we introduce a parametrically addressed delay line for microwave photons that provides a high level of control over the stored pulses. By parametrically driving a three-wave mixing circuit element that is weakly hybridized with an ensemble of resonators, we engineer a spectral response that simulates that of a physical delay line, while providing fast control over the delay line’s properties. We demonstrate this novel degree of control by choosing which photon echo to emit, translating pulses in time, and even swapping two pulses, all with pulse energies on the order of a single photon. We also measure the noise added from our parametric interactions and find it is much less than one photon.

Advances in Organic Multiferroic Junctions

Typically, organic multiferroic junctions (OMFJs) are formed of an organic ferroelectric layer sandwiched between two ferromagnetic electrodes. The main scientific interest in OMFJs focuses on the magnetoresistive properties of the magnetic spin valve combined with the electroresistive properties associated with the ferroelectric junction. In consequence, memristive properties that couple magnetoelectric functionalities, which are one of the most active fields of research in material sciences, are opening a large spectrum of technological applications from nonvolatile memory to elements in logic circuits, sensing devices, energy harvesting and biological synapsis models in the emerging area of neuromorphic computing. The realization of these multifunctional electronic elements using organic materials is presenting various advantages related to their low-cost, versatile synthesis and low power consumption functioning for sustainable electronics; green disintegration for transient electronics; and flexibility, light weight and/or biocompatibility for flexible electronics. The purpose of this review is to address the advancement of all OMFJs including not only the achievements in the charge and spin transport through OMFJs together with the effects of electroresistance and magnetoresistance but also the challenges and ways to overcome them for the most used materials for OMFJs.

FeCl3-modified carbon as an electrode material for supercapacitors: preparation, analysis, and electrochemical properties

The necessity to combat the effects of global warming has made the use of renewable energy sources essential. Much attention has been focused on utilizing various types of biomass that can provide high energy productivity and serve as an alternative to traditional fossil fuels. This study specifically aims to investigate the electrochemical properties of carbon materials obtained from plant-based raw materials after biofuel production by the carbonization of melon and citrus peels at 300 °C and chemical activation using FeCl3. It is established that chemical activation with FeCl3 at 700 °C has led to dehydration, degradation of the carbon matrix, and the development of a microporous surface. For a two-electrode electrochemical cell, the specific capacitance values at a discharge current of 50 mA are 196 F/g in an aqueous KOH solution and 78 F/g in TEABF4. Based on the impedance spectroscopy results, an equivalent electrical circuit has been modeled, revealing the energy storage mechanism at the carbon electrode-electrolyte interface, with a physical interpretation of each circuit element provided. Most importantly, the device remains stable with no capacitance loss after 1000 cycles. The research findings may contribute to expanding the use of biomass as a cost-effective electrode component for supercapacitors.

A practical introduction to radio frequency electronics for NMR probe builders

In this tutorial paper, we describe some basic principles and practical considerations for designing probe circuits for NMR or MRI. The goal is building a bridge from material that is familiar from undergraduate physics courses to more specialized information needed to put together and tune a resonant circuit for magnetic resonance. After a brief overview of DC and AC circuits, we discuss the properties of circuit elements used in an NMR probe and how they can be assembled into building blocks for multi-channel circuits. We also discuss the use of transmission lines as circuit elements as well as practical considerations for improving circuit stability and power handling.

Thermoelectric active cooling for transient hot spots in microprocessors

Modern microprocessor performance is limited by local hot spots induced at high frequency by busy integrated circuit elements such as the clock generator. Locally embedded thermoelectric devices (TEDs) are proposed to perform active cooling whereby thermoelectric effects enhance passive cooling by the Fourier law in removing heat from the hot spot to colder regions. To mitigate transient heating events and improve temperature stability, we propose a novel analytical solution that describes the temperature response of a periodically heated hot spot that is actively cooled by a TED driven electrically at the same frequency. The analytical solution that we present is validated by experimental data from frequency domain thermal reflectance (FDTR) measurements made directly on an actively cooled Si thermoelectric device where the pump laser replicates the transient hot spot. We herein demonstrate a practical method to actively cancel the transient temperature variations on circuit elements with TEDs. This result opens a new path to optimize the design of cooling systems for transient localized hot spots in integrated circuits.

Electrorheological and magnetorheological properties of liquid composites based on polypyrrole nanotubes/magnetite nanoparticles

This research presents an in-depth exploration of the electrical and magnetic properties of a polypyrrole nanotubes/magnetite nanoparticles (PPyM) material embedded in a silicone oil matrix. A key finding of our study is the dual nature of the composite, i.e. it exhibits a behaviour akin to both electro- and magnetorheological suspensions. This unique duality is evident in its response to varying electric and magnetic field intensities. Our study focuses on examining the electrical properties of the composite, including its dielectric permittivity and dielectric loss factor. Additionally, we conduct an extensive analysis of its rheological behavior, with a particular emphasis on how its viscosity changes in response to electromagnetic stimuli. This property notably underscores the material’s dual-responsive nature. Employing a custom experimental design, we integrate the composite into a passive electrical circuit element subjected to alternating electric fields. This methodological approach allows us to precisely measure the material’s response in terms of resistance, capacitance, and charge under different field conditions. Our findings reveal substantial changes in the material’s electrical conductivity and rheological characteristics, which are significantly influenced by the intensity of the applied fields. These results enhance the understanding of electro-magnetorheological properties of PPyM-based magnetic composites, and also highlight their potential in applications involving smart materials. The distinct electrical, magnetic and rheological modulation capabilities demonstrated by this composite render it as promising candidate for advanced applications. These include sensory technology, actuation systems, and energy storage solutions.

Design insights into a junctionless nanosheet FET (JL-NSFET) for switching and Analog/RF applications: Device to circuit level assessment

- The advent in semiconductor technology paved the way for electronic industry to place in front row. The nanosheet (NS) device is a type gate all around (GAA) architecture provides an excellent gate electrostatic to suppress the short channel effects (SCEs) and scale it further below sub-7nm technology node. This paper provides a complete design insight from device to circuit of a two sheet NSFET with geometrical variations. All digital and analog/RF parameters are extracted and analyzed based on gate length (LG), sheet thickness (TNS), sheet width (WNS), and spacer material variations. As LG is varied from 8 nm to 12 nm, ION/IOFF is enhanced from 0.249 × 108 to 2.86 × 108 due to improved gate control over the channel region which is also reflected in DIBL to 40.82 % whereas, at lower LG analog/RF metrics are better. The TNS play a vital role in device characteristics, as TNS decreases the chance of interaction of electric field from source to drain decreases owing to full volume conduction and thereby ameliorated performance of JL NSFET. As TNS is varied from 7 nm to 5 nm, all electrical characteristics are improved and analog/RF parameters gm, Av, fT, TFP and GTFP are improved to 10.3 %, 18.4 %, 12.1 % 18.5 % and 54.04 %, respectively. Increase in WNS from 10 nm to 20 nm results into increased effective width of a device, it leads to higher ION current which further impacts on electrical and analog/RF parameters. The DIBL, gm, fT, GFP, TFP and GTFP are enhanced to 63.7 %, 37.9 %, 34.9 %, 9.7 %, 33.5 %, 9.1 %, respectively. The spacer materials are varying from Al2O3 (k = 18), HfO2 (k = 22), ZrO2 (k = 25) to TiO2 (k = 44), the electrical characteristics are better at higher-k whereas analog/RF performances are superior at lower-k. Further, digital circuit elements NOT, NAND and NOR gates are designed, simulated and the delays are examined as 4.25ps, 6.45ps and 5.12ps, respectively. The NML and NMH of NOT gate are noticed as 295 mV and 280 mV at 0.7 V of supply voltage. Furthermore, a common source (CS) amplifier is also simulated and gain of 3.3 is noticed. The aforementioned analysis revels the JL NSFET is best suitable candidate for future nanoscale applications.

A Common Grounded Voltage Quadrupler ASL/PSC Hybrid Converter With Reduced Voltage Stress

Active switched inductor (ASL) dc-dc converters have very high step-up voltage gain but practically they suffer from high voltage stress across switches because of the resonance caused by the mismatch among the inductor values and switch parameters. This paper presents a new hybrid dc-dc converter topology derived from ASL and passive switched capacitors (PSC). The proposed topology has high step up voltage gain over wide range of duty cycle. The resonance due to mismatch of parameters is eliminated. The proposed converter has low voltage stress, low current stress on circuit elements and common ground between input and output ports. The circuit configuration, operating principle and steady state analysis of the proposed converter are presented. The key performance parameters are compared with that of other high-gain dc-dc converters. A 300W laboratory prototype is developed and experimental verification is carried out for the voltage step-up from 30V to 400V. The closed-loop operation is also verified experimentally and results are presented.

MAGNETOELASTIC METHOD OF DIAGNOSTICS OF TECHNICAL CONDITION OF RAILWAY ROLLING STOCK WHEELS

Detection of defects on the rolling surface of wheelsets, the formation of which occurs in the process of operation, is becoming the most important task of ensuring safety on railroad transport, the importance of which is becoming greater in connection with the growth of rolling stock speeds and increasing freight traffic. The development of defects in wheel pairs leads to destruction of the running parts of the rolling stock and wear of the rail tracks, and, as a consequence, an accident (railway derailment). One of the most significant characteristics of the condition of the tracks and rolling stock are the pressure of the wheel on the rail, and the load that occurs in the rail. Existing methods for identifying defects are reduced to measuring the deflection of the rail and weight measurement, which is used to judge the excess load created by the wheels of the rolling stock on the rail. This paper describes magnetoelastic methods for monitoring the condition of elements of railway tracks and rolling stock in front of existing non-magnetic ones. The advantage of magnetoelastic methods is that the determination of stresses in the object under study occurs directly, and not indirectly, because stress control is carried out by turning on the object under study as an element of the measurement circuit, which gives the most reliable ideas about the stresses arising in the object.

Entangling Interactions Between Artificial Atoms Mediated by a Multimode Left-Handed Superconducting Ring Resonator

Superconducting metamaterial transmission lines implemented with lumped circuit elements can exhibit left-handed dispersion, where the group and phase velocity have opposite sign, in a frequency range relevant for superconducting artificial atoms. Forming such a metamaterial transmission line into a ring and coupling it to qubits at different points around the ring results in a multimode bus resonator with a compact footprint. Using flux-tunable qubits, we characterize and theoretically model the variation in the coupling strength between the two qubits and each of the ring-resonator modes. Although the qubits have negligible direct coupling between them, their interactions with the multimode ring resonator result in both a transverse exchange coupling and a higher-order ZZ interaction between the qubits. As we vary the detuning between the qubits and their frequency relative to the ring-resonator modes, we observe significant variations in both of these interqubit interactions, including zero crossings and changes of sign. The ability to modulate interaction terms such as the ZZ scale between zero and large values for small changes in qubit frequency provides a promising pathway for implementing entangling gates in a system capable of hosting many qubits. Published by the American Physical Society 2024

Machine learning-assisted equivalent circuit identification for dielectric spectroscopy of polymers

Polymers have become indispensable across fields of application, and understanding their structure–property relationships and dynamic behaviour is essential for performance optimization. Polymer membranes, particularly ion exchange membranes, play a crucial role in renewable energy conversion technologies, fuel cells, solar energy conversion, and energy storage. In this context, broadband dielectric spectroscopy (BDS) offers a powerful, non-destructive approach to investigate the electrical response and relaxation dynamics of polymers. These properties are investigated by parametrizing the system’s impedance response in terms of a network of circuit elements, i.e. the electrical equivalent circuit (EEC), whose impedance resembles the one of the system under investigation. However, the determination of the EEC from BDS data is challenging due to system complexity, interdependencies of circuit elements, and researcher biases. In this work, we propose a novel approach that incorporates a convolutional neural network (CNN) model to predict the EEC topology. By reducing user bias and enhancing data analysis, this approach aims to make BDS accessible to both experienced users and those with limited expertise. We show that the combination of machine learning and BDS provides valuable insights into the dynamic behaviour of polymer membranes, thus facilitating the design and characterization of tailored polymers for various applications. We also show that our model outperforms state-of-the-art machine learning methods with a top-5 accuracy of around 80% for predicting the circuit topology and a parameter fitting error as low as 0.05%.

Slip modes modeling of electric vehicle asynchronous electric drive

Purpose. Creation a computer model of electric drive of an electric vehicle with the possibility of modeling in slippage modes, as well as the subsequent determination of slippage detection method as early as possible to further reducing or preventing slippage. Methodology. Mathematical analysis and modeling. Findings. Mathematical models in the structural form of the control system, power converter and motor are added in a simplified way, as the blocks. For compiling a computer model, the blocks of the control system and the power converter will be assembled using models of elements of power electric circuits. The model allows the ED simulation with a huge number of parameters varying – modeling slipping processes with one or two wheels, a sharp change in engine parameters, failure of one of the components of the power circuit, etc. Using the Simulink and SimPower packages of the Matlab software package, as well as the block diagram of the electric drive, a computer model of the ED was synthesized. Computer simulation of dynamic processes in the electric drive during a collision, as well as pulling away on the road surface with a reduced coefficient of friction, was carried out. The obtained diagrams fully correspond to the real physical processes occurring in the electric vehicle and give reason to believe that the constructed mathematical and computer models are adequate. Proceeding from this, electromechanical transients in the electric drive during acceleration with slipping and one wheel runover a road surface with reduced traction were obtained and analyzed. As a result of this analysis, the most optimal and reliable way to determine the skidding mode for its further elimination was determined. Originality. Computer model of the asynchronous electric drive of an electric vehicle with a detailed mechanical part, taking into account the mechanical differential gear, was built. The model allows the ED simulation with a huge number of parameters varying – modeling slipping processes with one or two wheels, a sharp change in engine parameters, failure of one of the components of the power circuit, etc. Practical value. Computer simulation was carried out for two modes: start of electric vehicle movement , when one of the wheels has been of on the road surface with a reduced coefficient of adhesion (0,1) since launch and acceleration with a collision with a surface with a reduced coefficient of adhesion (0,1) with one wheel at the moment of time of 6.3 s.

Enhanced read resolution in reconfigurable memristive synapses for Spiking Neural Networks

The synapse is a key element circuit in any memristor-based neuromorphic computing system. A memristor is a two-terminal analog memory device. Memristive synapses suffer from various challenges including high voltage, SET or RESET failure, and READ margin issues that can degrade the distinguishability of stored weights. Enhancing READ resolution is very important to improving the reliability of memristive synapses. Usually, the READ resolution is very small for a memristive synapse with a 4-bit data precision. This work considers a step-by-step analysis to enhance the READ current resolution or the read current difference between two resistance levels for a current-controlled memristor-based synapse. An empirical model is used to characterize the HfO2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\hbox {HfO}}_{2}$$\\end{document} based memristive device. 1st\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$1\ extrm{st}$$\\end{document} and 2nd\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$2\ extrm{nd}$$\\end{document} stage device of our proposed synapse design can be scaled to enhance the READ current margin up to ∼\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\sim$$\\end{document} 4.3×\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes$$\\end{document} and ∼\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\sim$$\\end{document} 21%, respectively. Moreover, READ current resolution can be enhanced with run-time adaptation techniques such as READ voltage scaling and body biasing. The READ voltage scaling and body biasing can improve the READ current resolution by about 46% and 15%, respectively. TENNLab’s neuromorphic computing framework is leveraged to evaluate the effect of READ current resolution on classification, control, and reservoir computing applications. Higher READ current resolution shows better accuracy than lower resolution even when facing different levels of read noise.

Asymptotically sharp estimates for the area of multiplexers in the cellular circuit model

Abstract A general cellular circuit of functional and switching elements (CCFSE) is a mathematical model of integral circuits (ICs), which takes into account peculiarities of their physical synthesis. A principal feature of this model distinguishing it from the well-known classes of circuits of gates (CGs) is the presence of additional requirements on the geometry of the circuit which ensure the accounting of the necessary routing resources for IC creation. The complexity of implementation of a multiplexer function of Boolean algebra (FBA) in different classes of circuits has been extensively studied. In the present paper, we give asymptotically sharp upper and lower estimates for the area of a CCFSE implementing a multiplexer FBA of order n. We construct a family of circuit multiplexers of order n of area equal to the halved upper estimate, and provide a method of delivering the corresponding lower estimate.

Perspective Optical and Electronic Interconnects of Integrated Circuit Elements

Perspective Optical and Electronic Interconnects of Integrated Circuit Elements

Symplectic Geometry and Circuit Quantization

Circuit quantization is an extraordinarily successful theory that describes the behavior of quantum circuits with high precision. The most widely used approach of circuit quantization relies on introducing a classical Lagrangian whose degrees of freedom are either magnetic fluxes or electric charges in the circuit. By combining nonlinear circuit elements (such as Josephson junctions or quantum phase slips), it is possible to build circuits where a standard Lagrangian description (and thus the standard quantization method) does not exist. Inspired by the mathematics of symplectic geometry and graph theory, we address this challenge, and present a Hamiltonian formulation of nondissipative electrodynamic circuits. The resulting procedure for circuit quantization is independent of whether circuit elements are linear or nonlinear, or if the circuit is driven by external biases. We explain how to rederive known results from our formalism, and provide an efficient algorithm for quantizing circuits, including those that cannot be quantized using existing methods. Published by the American Physical Society 2024

Rapid time-domain simulation of fractional capacitors with SPICE

Fractional capacitors, commonly called constant-phase elements or CPEs, are used in modeling and control applications, for example, for rechargeable batteries. Unfortunately, they are not natively supported in the well-used circuit simulator SPICE. This manuscript presents and demonstrates a modeling approach that allows users to incorporate these elements in circuits and model the response in the time domain. The novelty is that we implement for the first time a particular configuration of RC elements in parallel in a Foster-type network with SPICE in order to simulate a constant-phase element across a defined frequency range. We demonstrate that the circuit produces the required impedance spectrum in the frequency domain, and shows a power-law voltage response to a step change in current in the time domain, consistent with theory, and is able to reproduce the experimental voltage response to a complicated current profile in the time domain. The error depends on the chosen frequency limits and the number of RC branches, in addition to very small SPICE numerical errors. We are able to define an optimum circuit description that minimizes error while maintaining a short computation time. The scientific value is that the work permits rapid and accurate evaluation of the response of CPEs in the time domain, faster than other methods, using open source tools.

NbN-based half-flux-quantum element for integration with superconducting qubits

Half-flux-quantum (HFQ) logic is a superconductor logic family comprising conventional Josephson junctions (0-JJs) and π Josephson junctions (π-JJs). The energy scale of HFQ logic can be flexibly reduced by phase shifts owing to π-JJs; thus, HFQ circuits are a promising building block for qubit interface circuits. In this study, we demonstrate an NbN-based HFQ circuit element compatible with NbN-based superconducting qubits for all-NbN monolithic integration of qubits and HFQ circuits. The use of NbN is beneficial for both qubits and HFQ circuits owing to its high-quality junctions and high kinetic inductance. First, we developed a prototype of an NbN-based 0-JJ/π-JJ hybrid fabrication process for designing HFQ circuits. We evaluated 0-JJs and π-JJs fabricated through the hybrid process, which demonstrated that the 0-JJs had a small deviation with regard to critical current density and the π-JJs had a sufficiently high critical current density to work as π phase shifters. Furthermore, we fabricated an HFQ superconducting quantum interference device, which is one of the most fundamental elements in HFQ circuits, and observed clear HFQ-period modulation in the magnetic flux dependence of the maximum current at 4.2 K.

Modular horizontal network within mouse primary visual cortex.

Interactions between feedback connections from higher cortical areas and local horizontal connections within primary visual cortex (V1) were shown to play a role in contextual processing in different behavioral states. Layer 1 (L1) is an important part of the underlying network. This cell-sparse layer is a target of feedback and local inputs, and nexus for contacts onto apical dendrites of projection neurons in the layers below. Importantly, L1 is a site for coupling inputs from the outside world with internal information. To determine whether all of these circuit elements overlap in L1, we labeled the horizontal network within mouse V1 with anterograde and retrograde viral tracers. We found two types of local horizontal connections: short ones that were tangentially limited to the representation of the point image, and long ones which reached beyond the receptive field center, deep into its surround. The long connections were patchy and terminated preferentially in M2 muscarinic acetylcholine receptor-negative (M2-) interpatches. Anterogradely labeled inputs overlapped in M2-interpatches with apical dendrites of retrogradely labeled L2/3 and L5 cells, forming module-selective loops between topographically distant locations. Previous work showed that L1 of M2-interpatches receive inputs from the lateral posterior thalamic nucleus (LP) and from a feedback network from areas of the medial dorsal stream, including the secondary motor cortex. Together, these findings suggest that interactions in M2-interpatches play a role in processing visual inputs produced by object-and self-motion.

Fast joint parity measurement via collective interactions induced by stimulated emission

Parity detection is essential in quantum error correction. Error syndromes coded in parity are detected routinely by sequential CNOT gates. Here, different from the standard CNOT-gate based scheme, we propose a reliable joint parity measurement (JPM) scheme inspired by stimulated emission. By controlling the collective behavior between data qubits and syndrome qubit, we realize the parity detection and experimentally implement the weight-2 and weight-4 JPM scheme in a tunable coupling superconducting circuit, which shows comparable performance to the CNOT scheme. Moreover, with the aid of the coupling tunability in quantum system, this scheme can be further utilized for specific joint entangling state preparation (JEP) with high fidelity, such as multiqubit entangled state preparation for non-adjacent qubits. This strategy, combined with the superconducting qubit system with tunable couplers, reveals tremendous potential and applications in the surface code architecture without adding extra circuit elements. Besides, the method we develop here can readily be applied in large-scale quantum computation and quantum simulation.