Gate Switching Research Articles

Quantum circuit syntheses of Boolean matrix multiplication using only CNOT gates

Abstract Boolean matrices and operations on Boolean matrices have become increasingly popular in quantum computing and quantum information because they can be used to represent quantum states and the corresponding operations. In this paper, we first give a quantum circuit direct synthesis of general Boolean matrix multiplication using Toffoli gates. We assign a qubit to each element of the matrix and add Toffoli gates at the corresponding positions where the matrix elements are multiplied according to the arithmetic of matrix multiplication. For $n\times p$ dimensional matrix $A$ multiplied by $p\times m$ dimensional matrix $B$, $np + pm + nm$ qubits and at most $pmn$ Toffoli gates are used in total. Then, an improved heuristic algorithm based on matrix Hamming distance selection of CNOT gate is proposed to synthesize the quantum circuit of a matrix, without using wire switching and SWAP gates, using only CNOT gates. The results show that our method is as good as or better than the classical synthesis. Finally, the quantum circuit of Boolean matrix multiplication with at least one invertible or full-rank matrix using only CNOT gates is given, which is divided into five cases for discussion and analysis. For $n\times n$ dimensional invertible matrix $A$ multiplied by $n\times m$ dimensional matrix $B$, $nm$ qubits and at most $mn^{2}$ CNOT gates are used in total. For $n\times p$ dimensional column full-rank matrix $A$ multiplied by $p\times m$ dimensional matrix $B$, $nm$ qubits and at most $pmn$ CNOT gates are used in total. The results show that this method uses less quantum resources to synthesize the quantum circuit of Boolean matrix multiplication. The correctness of the quantum circuits was verified by the Aer simulator of the IBM Quantum platform.

How Single-Photon Switching Is Quenched with Multiple Λ-Level Atoms.

Single-photon nonlinearity, namely, the change in the response of the system as the result of the interaction with a single photon, is generally considered an inherent property of a single quantum emitter. Although the dependence on the number of emitters is well understood for the case of two-level systems, deterministic operations such as single-photon switching or photon-atom gates inherently require more complex level structures. Here, we theoretically consider single-photon switching in ensembles of emitters with a Λ-level scheme and show that the switching efficiency vanishes with the number of emitters. Interestingly, the mechanism behind this behavior is the quantum Zeno effect, manifested in a slowdown of the photon-controlled dynamics of the atomic ground states.

Comparative Study of E-beam and Optical Probing Approaches in Attacking the ICs

AbstractOptical probing methods through the chip backside have been demonstrated to be powerful attack techniques in the field of electronic security. However, these attacks typically require specific circuit conditions, such as enforcing gate or register switching at certain frequencies or repeating measurements over multiple executions to achieve an acceptable signal-to-noise ratio (SNR). Meeting these requirements can pose challenges, such as low-frequency switching or inaccessibility of the control signals. This study evaluates these requirements for contactless electron- and photon-based probing attacks by performing extensive experiments and discussing the advantages and drawbacks of each approach. Our findings demonstrate that E-beam probing has the potential to outperform optical methods in scenarios involving static or low-frequency circuit activities. Nevertheless, E-beam probing requires the assistance of optical techniques for area localization and requires aggressive thinning and trenching to the STI level.

A hardware/firmware-based switching gate multiplexing method for pulse mode radiation detectors

We present a hardware/firmware-based switching gate multiplexing method for pulse mode radiation detectors that can combine many detector signals into two readout channels. One readout channel passes the signal of the multiplexed detector that “fired” first, and the other channel provides a variable-width logic pulse, i.e., a pulse width modulation (PWM) signal, that identifies the active detector. The multiplexed output pulse is produced by passing the first active detector’s signal to a fan-in circuit by gating on the corresponding channel for a fixed duration while blocking all other detector signals. It does this using individual analog switches for all the detector signals. Each switch is controlled by a fixed width logic pulse that is triggered by the arrival of the first active detector pulse. Both the fixed width logic pulse and the PWM signal are generated using a field-programmable gate array (FPGA). To demonstrate the proposed multiplexing method, a prototype four-channel multiplexer was developed for use with four NaI(Tl) detectors. The performance of the multiplexer was evaluated in terms of its ability to retain energy resolution, timing resolution, and original pulse shape. The proposed multiplexing method showed very little degradation in energy resolution and timing resolution or alteration of pulse shape. The switching gate feature of the proposed method enables the multiplexer output to have very low noise contribution from the inactive channels. This multiplexing technique also has the unique capability of isolating and recovering the first active detector’s output pulse in cases where there is overlap between pulses from different detectors in a single digitized record. These features make the proposed hardware/firmware-based switching gate multiplexing method very promising for application to large radiation detector networks.

Comparative Study of TLP250 and IR2132 Driver-Based Inverter for Induction Motor Driving

As time progresses, electric motors are used for industrial or commercial purposes. The need for a motor that is robust, simple, and easy to maintain has been answered by creating an induction motor that can handle the purpose. At the beginning of its use, induction motors were more often used at constant speeds. Using an inverter becomes one of the solutions at hand to control the induction motor. Nowadays, most inverters are controlled by the SPWM (Sinusoidal Pulse Width Modulation) method. This method can adjust the output voltage and frequency by setting the carrier signal's frequency value and the reference signal's amplitude. A driver circuit is needed to implement an SPWM-based inverter. This driver circuit is needed to isolate the power circuit from the controller. Moreover, this circuit is also used to increase the microcontroller output signal to trigger the IGBT gate switch. The IR2132 and TLP250 drivers are often used in three-phase inverter applications. These drivers have advantages and disadvantages. This paper discusses the capabilities of these two drivers when applied to a three-phase inverter that functions as an induction motor drive. This inverter-controlled induction motor is advantageous because it can be rotated at a nominal speed and frequency.

A Comprehensive Analysis of Nanosheet Field-Effect Transistor: Recent Advances and Comparative Study

In this paper for the first time, we have studied various structures of nanosheet field-effect transistors (NSFET) and the effect of various devices and process parameters such as nanosheet width, length, interspacing, S/D doping, channel doping, random dopant fluctuations studied on these device structures. Comparative analysis has been done between JL-NSFET, GS-JL-NSFET, JL-SiGeNSFET and JL-GS-SiGeNSFET in terms of analog parameters. Nanosheet-based FETs are likely to be the successor of FinFET beyond the 5-nm node. NSFETs have better control over gate, variable sheet width and more current per device footprint which gives them the advantage of circuit design versatility. NSFET offers better gate control, better current and switching per device footprint. NSFETs are preferred over NWFETs due to better electrostatics, greater channel widths, decreased SCEs and increased device reliability.

Novel cascaded switched-diode five level inverter for renewable energy integration

This research presents the usage of a unique five-level cascaded switching diode for medium voltage integration of renewable energy sources. Its primary purpose is to decrease the quantity of gate drivers and switches. In addition to that, the cost and space for the installation of multilevel inverters are less. The inverter topology of novel cascaded multilevel inverters and switched diodes will combine both benefits. One-cycle control (OCC), which is used for clock phase-shifting (CPS) to regulate a two-stage container security device (CSD) multilevel inverter of renewable energy integration, was created to address issues with the multilevel inverter's direct current (DC) source variations. The topology also provides efficiency, harmonic distortion reduction, and voltage output quality. Waveforms are created, and a robust resistance to DC source variations is attained. The viability of the unique five-level inverter using cascaded switched diodes is confirmed by discussing the results of both simulation and experiment.

Selective wetting and transport of systemic pesticides on bionic stomatal surface regulated by host–guest interaction

Pesticide residues in the environment pose serious threats to ecosystem and human health, and how to achieve the selective transport and enrichment of specific pesticide residues through hydrophobic surface are still an important challenge. Herein, inspired by the “stomatal gating effect” of plant leaves, amino pillar[5]arene-based host–guest gating systems are introduced into artificial porous surfaces with hydrophobicity to fabricate bionic stomatal surfaces (AP5A porous surface), which is expected to modulate the interaction between pesticide and bionic surface through host–guest interaction to selective promote the wetting and transport of specific pesticide on the surface. Experimental and simulation results indicated the AP5A porous surface would selectively capture and adsorb the triclopyr pesticide by strong host–guest interaction to enhance pesticide wettability, and realized the host–guest interaction induced fast transport and enrichment of triclopyr (246.4 μM cm−2h−1) on the bionic stomatal surface. This work provides a new perspective that host–guest interaction between pesticides and solid surface as a gating switch to selective induce the systemic pesticides wetting and transport on bionic porous surface, which is believed to be useful in applications such as the enrichment and removal of pesticide residues from environment in the future.

Dynamic coil switching strategies for significant efficiency increases in electromagnetic energy generators

The development of self-powering systems has been recognized as critical such that innovative stand-alone emerging technologies can operate sustainably from scavenged ambient energy. Electromagnetic generators (EMGs) using magnetic levitation architectures for mechanical vibration energy harvesting are a promising technology that can be tailored to specific needs and provide low-cost electric powering for both small-scale and large-scale devices. They also present non-complex design, with low maintenance requirements and can operate with stable performance for long periods of time. Despite these prominent features, their complex non-linear and hysteresis-based resonant characteristics makes performance optimization hard to achieve and still needs to be addressed as a function of the input excitation. Numerical and experimental results are here provided to demonstrate the effectiveness of a new concept of EMG that aims to dynamically adapt the coil-array architecture throughout its operation to ensure maximum harvested power and to optimize the transduction mechanism efficiency. The self-adaptive motion-driven levitation-based autonomously rearranges each coil independently as a function of the instantaneous time-varying characteristics of the levitating magnet (LM) position. The mechanism features two dynamic coil switching strategies: (i) on/off switching, by short circuiting, with transmission gate switches, the coils without influence on the electromotive force; and (ii) reversing polarity switching, to avoid the sum of electromotive forces cancels each other. Average output powers of 635 mW (up to ∼4.1 W of peak power) were obtained with only the 4-centre (out of 14) permanently active coils, while only 292 mW (up to 833 mW of peak power) were achieved with the 14-coils permanently connected under optimal load conditions and harmonic translational input excitations with 15 Hz frequency and 20 mm amplitude. However, the adaptive generator was able to provide an impressive average power output of 3 W under the same conditions. Up to 14-fold larger output average power and 5.5-fold larger electric efficiency demonstrate the potential of the proposed coil switching self-adaptation system for enhancing the total energy conversion from general widespread mechanical vibrations.

Customized self-assembled bimetallic hybrid nanoflowers promoting the robustness of D-allulose 3-epimerase

Enzyme-based hybrid nanoflowers, a green biocatalyst technology employing metal ions as the main driving force of enzyme immobilization without participating in the catalytic reaction, have been extensively explored to increase enzyme robustness. Here, a customized self-assembled protein-bimetallic hybrid nanoflower system (HNF) was designed to immobilize D-allulose 3-epimerase (DAEase) with a hierarchical flower-like architecture. The tailored DAEase-HNFs were extremely stable in acidic conditions, retaining more than 70 % of their initial activity after incubation in aqueous solution at pH 3.0–6.0 for 4 h. They were also durable, retaining 92.4 % relative activity after 8 consecutive cycles, and maintaining 82.3 % relative activity after storage for 30 days at 4 °C. Molecular dynamics (MD) simulations were performed to probe the self-assembly processes related to the increased robustness of the encapsulated DAEase by investigating the conformational changes in the gating switch helix of the substrate entrance, hydrogen bond networks, and the catalytic cavity. Our data indicate that HNFs are a promising immobilization strategy to improve the robustness and durability of DAEase.

Acid‐Unlocked Switch Controlled the Enzyme and CO In Situ Release to Induce Mitochondrial Damage via Synergy

AbstractCO gas therapy has attracted enormous attention in tumor therapy due to the abilities of mitochondrial damage and inhibition of cellular respiration. However, the inefficient and random release of CO greatly limit its application. Taking this into account, the study constructs an acid‐unlocked nanostructure based on MPDA‐MnCO‐GOx@DSNPs, designated as MMGD. The nanostructure enables tumor microenvironment (TME) specific enzyme and CO prodrug (manganese carbonyl, MnCO) cascade reaction, thus facilitating CO release in situ. Mesoporous polydopamine (MPDA) can provide the space for MnCO and glucose oxidase (GOx) loading. Especially, lanthanide (Ln3+)‐doped down‐shifting luminescent nanoparticles (DSNPs) can not only serve as the near‐infrared II (NIR‐II) fluorescence imaging probe, but also act as the acid‐unlocked gating switch. The slightly acidic TME can render the dissociation of DSNPs, thus exposing GOx and releasing MnCO. The catalytic reaction of GOx can produce H2O2 and create a more acidic environment, which facilitates the CO generation in situ, leading to mitochondrial damage by reducing cytochrome c oxidase activity and adenosine triphosphate (ATP) levels. Meanwhile, MPDA has the NIR light absorption capability for photothermal therapy (PTT). This study provides an ingenious strategy for efficient and controllable CO gas, starvation, and PTT of tumor guided by NIR‐II fluorescence imaging.

Coupled Inductor-Based Current-Fed Ultra-High Step-Up DC-DC Converter Featuring Low Input Current Ripple

A DC-DC converter with ultra-high voltage gain is presented in this article. The current-fed structure of the proposed converter provides outstanding performance for sensitive source applications due to its continuous input current with minimal ripple. Using two double-winding coupled inductors in the suggested structure provides more degree of freedom arising from the turn ratios. Simultaneous operation of the two switches causes a simple operation and a simple control system in addition to the need for a single switch gate pulse. Operation of the converter in continuous and discontinuous conduction modes is analyzed as well as design considerations of the active and passive components. The converter is compared with some recent introduced converters, and a 200 W laboratory prototype of the converter is implemented, and experimental results confirming the converter performance are given.

Designing a High-Order Sliding Mode Controller for Photovoltaic- and Battery Energy Storage System-Based DC Microgrids with ANN-MPPT

This paper introduces a robust proportional integral derivative higher-order sliding mode controller (PID-HOSMC) based on a double power reaching law (DPRL) to enhance large-signal stability in DC microgrids. The microgrid integrates a solar photovoltaic (SPV) system, an energy storage system (ESS), and DC loads. Efficient DC-DC converters, including bidirectional and boost converters, are employed to maintain a constant voltage level despite the lower SPV output power. An artificial neural network (ANN) generates the optimal reference voltage for the SPV system. The dynamical model, which incorporates external disturbances, is initially developed and based on this model, and the PID-HOSMC is designed to control output power by generating switching gate pulses. Afterwards, Lyapunov stability theory is used to demonstrate the model’s closed-loop stability, and theoretical analysis indicates that the controller can converge tracking errors to zero within a finite time frame. Finally, a comparative numerical simulation result is presented, demonstrating that the proposed controller exhibits a 58% improvement in settling time and an 82% improvement in overshoot compared to the existing controller. Experimental validation using processor-in-the-loop (PIL) confirms the proposed controller’s performance on a real-time platform.

Gated nanoprobe utilizing metal-organic frameworks for identifying and distinguishing between the wild strains and the vaccine strains of brucella.

In the assay for Brucella, the identification and differentiation of wild strains and vaccine strains present a significant challenge. Currently, there aren't any commercially available product to address this issue. In this study, we have developed a novel gated nanoprobe by utilizing Metal-Organic Frameworks (MOFs) as a scaffold and hairpin DNA as a "gating switch". Specifically, Probe 1 with hairpin structure (P1h) targets a gene that is present in both wild strains Y3 (B. melitensis biovar 3) and vaccine strains A19 (Brucella abortus strains A19). We successfully applied this probe to screen positive samples of Brucella without any cross-reactivity with other substances. Additionally, we identified another specific gene exclusively found in wild strains, which serves as Probe 2 with hairpin structure (P2h) to confirm the strain type. Simultaneous detachment of both P1h and P2h from the MOFs leads to the release of Rhodamine 6G (Rho 6G) and Fluorescein (Flu), specifically indicating the presence of wild strains. If only P1h detaches and the Flu signal is detected, it suggests the presence of vaccine strains. Importantly, this method offers high accuracy, with a detection rate of 90% and a recovery rate of 94.71% to 107.65%, while avoiding cross-reactions with MO and TB. This one-step experiment provides reliable identification and differentiation of Y3 and A19, addressing concerns related to long periodicity, interference from individual variations, and the complex design of primers in existing laboratory methods. Furthermore, our approach successfully detects target 1 (T1) and target 2 (T2) at concentrations ranging from 10-6 M to 10-9 M, with a detection limit of 6.7 × 10-10 M and 6.4 × 10-10 M, respectively. Importantly, our strategy is cost-effective (around $1) and offers higher detection efficiency compared to traditional laboratory methods.

GaN-Based 4-MHz Full-Bridge Electrosurgical Generator Using Zero-Voltage Switching Over Wide Load Impedance Range.

In this article, a 4-MHz full-bridge inverter system for an electrosurgical generator (ESG) is presented with zero-voltage switching (ZVS) turn-on over a wide load impedance range based on wideband gap material gallium nitride (GaN) technology. The proposed resonant circuit is used for impedance matching and limits the current when the load is short state while performing ZVS over a wide load impedance range. It also ensures high power performance at high frequencies for electric surgery. The implementation methods of the GaN switch at 4 MHz with high output performance are guided by the low inductance from the gate-driver output to the switch gate node and the effective heating management structure of the GaN-based inverter. The proposed generator achieved a maximum output power of 99 W to the load and a maximum overall efficiency of 89% with overcurrent of <3 A at short state of the load. The ESG can generate constant output power of 20, 50, 70 W through mode control of 2, 5, and 7 s. The overcurrent Moreover, the proposed generator is tested on porcine tissue samples to verify its effectiveness as an ESG.

Adiabatic quantum-flux-parametron boosters for long interconnection and large fanouts

Adiabatic quantum flux parametron (AQFP) is energy-efficient superconducting logic that operates with zero static energy consumption and extremely small dynamic energy consumption thanks to the adiabatic switching of the logic gates. One drawback in AQFP logic circuits is the wire length and fan-out limitations because of the low driving ability of the logic gates, which results in a large circuit area and significant latency. In the present study, we propose AQFP boosters with high driving ability. Two types of AQFP boosters are proposed: one is composed of a parallel connection of AQFP buffers, and the other uses multistage buffers driven by one excitation clock. We evaluated the maximum wire length of the proposed boosters by circuit simulations, including thermal noises, and found that the maximum wire length is 3.9 mm for fan-out one and 1 mm for fan-out four. We implemented the boosters and demonstrated their correct operations at low-speed tests. We also demonstrated a 5-to-31 decoder using the proposed boosters. It was shown that the circuit area, latency, and energy consumption were improved by about 30% compared to the design without the boosters.

Convergent activation of Ca2+ permeability in two-pore channel 2 through distinct molecular routes.

TPC2 is a pathophysiologically relevant lysosomal ion channel that is activated directly by the phosphoinositide PI(3,5)P2 and indirectly by the calcium ion (Ca2+)-mobilizing molecule NAADP through accessory proteins that associate with the channel. TPC2 toggles between PI(3,5)P2-induced, sodium ion (Na+)-selective and NAADP-induced, Ca2+-permeable states in response to these cues. To address the molecular basis of polymodal gating and ion-selectivity switching, we investigated the mechanism by which NAADP and its synthetic functional agonist, TPC2-A1-N, induced Ca2+ release through TPC2 in human cells. Whereas NAADP required the NAADP-binding proteins JPT2 and LSM12 to evoke endogenous calcium ion signals, TPC2-A1-N did not. Residues in TPC2 that bind to PI(3,5)P2 were required for channel activation by NAADP but not for activation by TPC2-A1-N. The cryptic voltage-sensing region of TPC2 was required for the actions of TPC2-A1-N and PI(3,5)P2 but not for those of NAADP. These data mechanistically distinguish natural and synthetic agonist action at TPC2 despite convergent effects on Ca2+ permeability and delineate a route for pharmacologically correcting impaired NAADP-evoked Ca2+ signals.

Axonal transport during injury on a theoretical axon.

Neurodevelopment, plasticity, and cognition are integral with functional directional transport in neuronal axons that occurs along a unique network of discontinuous polar microtubule (MT) bundles. Axonopathies are caused by brain trauma and genetic diseases that perturb or disrupt the axon MT infrastructure and, with it, the dynamic interplay of motor proteins and cargo essential for axonal maintenance and neuronal signaling. The inability to visualize and quantify normal and altered nanoscale spatio-temporal dynamic transport events prevents a full mechanistic understanding of injury, disease progression, and recovery. To address this gap, we generated DyNAMO, a Dynamic Nanoscale Axonal MT Organization model, which is a biologically realistic theoretical axon framework. We use DyNAMO to experimentally simulate multi-kinesin traffic response to focused or distributed tractable injury parameters, which are MT network perturbations affecting MT lengths and multi-MT staggering. We track kinesins with different motility and processivity, as well as their influx rates, in-transit dissociation and reassociation from inter-MT reservoirs, progression, and quantify and spatially represent motor output ratios. DyNAMO demonstrates, in detail, the complex interplay of mixed motor types, crowding, kinesin off/on dissociation and reassociation, and injury consequences of forced intermingling. Stalled forward progression with different injury states is seen as persistent dynamicity of kinesins transiting between MTs and inter-MT reservoirs. DyNAMO analysis provides novel insights and quantification of axonal injury scenarios, including local injury-affected ATP levels, as well as relates these to influences on signaling outputs, including patterns of gating, waves, and pattern switching. The DyNAMO model significantly expands the network of heuristic and mathematical analysis of neuronal functions relevant to axonopathies, diagnostics, and treatment strategies.

Evaluation of Neutron Radiation Impact for 1200-V Class 4H-SiC MOSFET at Gate Switching Mode With TCAD Simulation

We evaluated and analyzed power SiC MOSFETs with gate switching mode during neutron irradiation with our commercial single event effect (SEE) Analyzer. Based on evaluation and analysis, we found i) difference of radiation robustness characteristics, ii) switching mode to be worse condition than non-switching (DC bias condition) mode for 1200 V rated SiC MOSFETs, and iii) temperature dependence with three manufactures’ SiC MOSFETs. In order to clarify the difference between the switching mode and non-switching mode effect, and between the electrical characteristics of the devices, we extracted device-related parameters through physical structure analysis and systematically investigated the cause of the difference by performing simulations with TCAD. As a result, we found that the distribution of electric field according to the gate structure and oxide thickness of SiC MOSFET affects to SiC MOSFET radiation robustness. It was also observed that one of the acceleration factors for increased cross section was higher temperature during irradiation test.

Inflammation-responsive molecular-gated contact lens for the treatment of corneal neovascularization

Corneal neovascularization (CNV) badly damages the corneal transparency, resulting in visual disturbance and blindness. The frequent administration of glucocorticoid eye drops in clinical increases the possibility of side effects and reduces patient compliance. Considering CNV is often accompanied by an increase in ROS production, a ROS-responsive monomer 2-(methylthio)ethyl methacrylate was introduced into the matrix as a “gating switch”. The prepared dexamethasone contact lenses (MCLs@Dex) showed a significant H2O2-responsive release for 168 h. To avoid corneal hypoxia and neovascularization caused by long-term wearing, high‑oxygen-permeability fluorosiloxane materials were incorporated. The oxygen permeability of MCLs@Dex was 4 times that of commercially available hydrogel contact lenses and had ultra-low protein adsorption, which meets the requirements of long-term wearing. In vivo pharmacokinetic studies showed that MCLs@Dex increased the mean residence time by 19.7 times and bioavailability by 2.29 times compared with eye drops, validating the ROS response and sustained release properties. More importantly, MCLs@Dex had satisfactory effects on reducing inflammation and decreasing the related cytokines and oxidative stress levels, and demonstrated significant inhibition of neovascularization, with a suppression rate of 76.53% on the 14th day. This responsive drug delivery system provides a promising new method for the safe and effective treatment of ocular surface diseases.