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Preface to Focus Topic on Integrated Circuits,Technologies and Applications(ICTA)2025 认领 引用
1
作者 Yan Lu Sai-Weng Sin 《Journal of Semiconductors》 EI CAS CSCD 2026年第6期37-38,共2页
This Special Topic of the Journal of Semiconductors(JoS)features expanded versions of key articles presented at the 2025 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which w... This Special Topic of the Journal of Semiconductors(JoS)features expanded versions of key articles presented at the 2025 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which was held in Macao,China,from October 22 to 24,2025.IEEE ICTA is an IEEE flagship conference in the field of integrated circuits(IC)in China,which provides a communication platform for sharing the state-of-the-art techniques from experts in the field of ICs.Among the 146 papers presented at ICTA 2025,the Technical Program Committee and the Award Committee have selected 3 high-quality articles for recommending to the Special Topic of JoS,covering the technical fields of RF,medical neural interface,and vision sensing ICs. 展开更多
关键词 technologies RF integrated circuits IEEE International Conference Integrated Circuits Technologies Applications integrated circuits ic integrated circuits expanded versions key articles medical neural interface integrated circuits applications
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Augmenting Density Matrix Renormalization Group with Matchgates and Clifford Circuits 认领 引用
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作者 Jiale Huang Xiangjian Qian +1 位作者 Zhendong Li Mingpu Qin 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第4期252-259,共8页
Matchgates and Clifford circuits are two types of quantum circuits which can be efficiently simulated classically,though the underlying reasons are quite different.Matchgates are essentially the single particle basis ... Matchgates and Clifford circuits are two types of quantum circuits which can be efficiently simulated classically,though the underlying reasons are quite different.Matchgates are essentially the single particle basis transformations in the Majorana fermion representation,which can be easily handled classically,while the Clifford circuits can be efficiently simulated using the tableau method according to the Gottesman–Knill theorem. 展开更多
关键词 tableau method quantum circuits majorana fermion representationwhich clifford circuits renormalization group gottesman knill theorem augmenting single particle basis transformations
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Insight into SnO2-based gas-sensitive materials and readout circuits for semiconductor gas sensors 认领 引用
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作者 Weiqi Wang Jiamu Cao +3 位作者 Dongbo Wang Rongji Zhang Yufeng Zhang Liancheng Zhao 《Nano Materials Science》 EI CAS CSCD 2026年第4期893-918,共26页
The advent of SnO2materials has significantly revolutionized semiconductor gas sensors.However,their high working temperature,sluggish responseecovery velocities,poor sensitivities,and baseline drift are still esse... The advent of SnO2materials has significantly revolutionized semiconductor gas sensors.However,their high working temperature,sluggish responseecovery velocities,poor sensitivities,and baseline drift are still essentials factor impeding their applications in advanced sensing devices.Owing to the improved receptor,transducer,and utility factor function,constructing heterostructures substantially enhances the gas-sensitive properties of single material.Although many works on SnO2materials have been summarized in some excellent reviews,a comprehensive overview of SnO2materials from the underlying gas-sensitive mechanisms to material design to applications combined with back-end detection circuits is missing.Herein,a comprehensive review is presented on the state-of-art of SnO2-baesed p-n heterostructures and applications of the combination of back-end detection circuits and devices.The microscopic regulation mechanism of p-n heterojunctions on improved gas-sensitive properties is investigated in depth.Some representative composites are discussed,including SnO2composited with metal oxides,two-dimensional materials,and conductive polymers.Additionally,the particular emphasis is given to the detection circuits used in semiconductor gas sensors.Finally,the current challenges are summarized,and perspectives on future opportunities are presented.This work aims to advance the evolution of high-performance sensitive nanomaterials and detection circuits,and render them promising in miniaturized and integrated gas sensors. 展开更多
关键词 Gas sensing Integrated gas sensors Heterostructures Detection circuits Resistance-to-frequency methods
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Output prediction of quantum circuits based on graph neural networks 认领 引用
4
作者 Yuxiang Liu Fanxu Meng +3 位作者 Lu Wang Yi Hu Zaichen Zhang Xutao Yu 《Frontiers of physics》 SCIE CSCD 2026年第6期135-151,共17页
The output prediction of quantum circuits is a formidably challenging task imperative in developing quantum devices.Motivated by the natural graph representation of quantum circuits,this paper proposes a Graph Neural ... The output prediction of quantum circuits is a formidably challenging task imperative in developing quantum devices.Motivated by the natural graph representation of quantum circuits,this paper proposes a Graph Neural Networks(GNNs)-based framework to predict the output expectation values of quantum circuits under noisy and noiseless conditions and compare the performance of different parameterized quantum circuits(PQCs).We construct datasets under noisy and noiseless conditions using a non-parameterized quantum gate set to predict circuit expectation values.The node feature vectors for GNNs are specifically designed to include noise information.In our simulations,we compare the prediction performance of GNNs in both noisy and noiseless conditions against Convolutional Neural Networks(CNNs)on the same dataset and their qubit scalability.GNNs demonstrate superior prediction accuracy across diverse conditions.Subsequently,we utilize the parameterized quantum gate set to construct noisy PQCs and compute the ground state energy of hydrogen molecules using the Variational Quantum Eigensolver(VQE).We propose two schemes:the Indirect Comparison scheme,which involves directly predicting the ground state energy and subsequently comparing circuit performances,and the Direct Comparison scheme,which directly predicts the relative performance of the two circuits.Simulation results indicate that the Direct Comparison scheme significantly outperforms the Indirect Comparison scheme by an average of 36.2%on the same dataset,providing a new and effective perspective for using GNNs to predict the overall properties of PQCs,specifically by focusing on their performance differences. 展开更多
关键词 Graph Neural Networks(GNNs) quantum circuit output prediction noisy and noiseless conditions Parameterized Quantum Circuits(PQCs) indirect comparison and direct comparison schemes
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Acupoints as state-dependent neuroimmune gateways:insights from stress-responsive neuroimmune circuits 认领 引用
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作者 Hi-Joon Park 《Acupuncture and Herbal Medicine》 CAS CSCD 2026年第2期258-260,共3页
A specialized sympathetic-eosinophil circuit in stress-induced inflammation.Psychological stress is widely recognized as an important aggravating factor in atopic dermatitis(AD)[1],yet the biological pathways that tra... A specialized sympathetic-eosinophil circuit in stress-induced inflammation.Psychological stress is widely recognized as an important aggravating factor in atopic dermatitis(AD)[1],yet the biological pathways that translate central stress perception into peripheral inflammation remain unclear.Tian et al.[2]identified a specialized neuroimmune circuit in which prodynorphin-expressing(Pdyn+)sympathetic neurons regulated eosinophil-mediated skin inflammation under stressful conditions. 展开更多
关键词 prodynorphin expressing sympathetic neurons sympathetic eosinophil circuit psychological stress atopic dermatitis ad stress responsive neuroimmune circuits atopic dermatitis peripheral inflammation neuroimmune circuit
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Neural regulation of bone:from central neural circuits to peripheral innervation of the skeletal stem cell niche 认领 引用
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作者 Zihan Chen Zhengqiong Luo +2 位作者 Matthew B.Greenblatt Zuoxing Wu Ren Xu 《Bone Research》 SCIE CAS CSCD 2026年第3期742-757,共16页
The nervous system has emerged as a multi-scale regulator of bone biology,integrating central neural circuits with peripheral innervation to control skeletal homeostasis and repair.While bone remodeling is classically... The nervous system has emerged as a multi-scale regulator of bone biology,integrating central neural circuits with peripheral innervation to control skeletal homeostasis and repair.While bone remodeling is classically described as being governed by coupling between bone formation and resorption,neural signaling provides an additional hierarchical layer that links organismlevel cues to local skeletal stem/progenitor cell niches.This review presents a mechanistic framework for the neuro–bone regulatory network across three hierarchical levels.First,we examine central regulation,in which hypothalamic circuits integrate hormonal and metabolic signals via circumventricular organs to modulate endocrine outputs such as parathyroid hormone(PTH),thereby establishing circadian rhythms and systemic control of bone metabolism.Second,we analyze peripheral neural communication,where sensory inputs triggered by injury or inflammation,along with autonomic efferent signaling,includingβ-adrenergic pathways,directly influence osteolineage and stromal cells.These signals recalibrate cellular metabolic states,differentiation programs,and regenerative responses,linking pain perception with tissue repair mechanisms.Third,we investigate the bone marrow niche,where distinct subtypes of nerve fibers release a diverse array of neurotransmitters and or neuromodulators that shape the microenvironment of skeletal stem and progenitor cells(SSPCs)as well as downstream osteoprogenitors,thereby regulating proliferation,lineage commitment,and quiescence.Collectively,these findings delineate an integrated model of neural regulation of bone spanning central,peripheral,and local niche levels,providing a foundation for testable hypotheses in neuro-osteobiology. 展开更多
关键词 neuro bone regulatory network peripheral innervation nervous system central neural circuits bone remodeling neural regulation mechanistic framework bone biology
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Emerging trends of precision analog circuits in ISSCC 2026 认领 引用
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作者 Haihua Li Dan Shi +2 位作者 Pui-In Mak Rui Paulo Martins Ka-Meng Lei 《Journal of Semiconductors》 EI CAS CSCD 2026年第7期12-17,共6页
The relentless advancement of the artificial intelligence of things,automotive electronics,and high-performance computing has tightened the design requirements for fundamental analog blocks.Consequently,recent circuit... The relentless advancement of the artificial intelligence of things,automotive electronics,and high-performance computing has tightened the design requirements for fundamental analog blocks.Consequently,recent circuit innovations at ISSCC 2026—spanning from mature 180 nm planar processes to advanced 2 nm gate-all-around nodes—focus on providing robust,high-precision"ancillary"circuits under increasingly stringent power,area,and error budgets. 展开更多
关键词 ISSCC nm planar processes automotive electronics artificial intelligence thingsautomotive emerging trends precision analog circuits artificial intelligence things analog blocksconsequentlyrecent
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Can Causal Circuits Enable Efficient Spatial Reasoning for Geoinformatics in Large Language Models? 认领 引用
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作者 Sahil Tripathi Manaswi Kulahara +1 位作者 Abdul Khader Jilani Saudagar Hatoon S.AlSagri 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第7期1072-1095,共24页
Spatial reasoning,defined as the ability to infer and compose relations among entities—is fundamental to geoinformatics applications such as spatial querying and map understanding.However,existing works such as Bidir... Spatial reasoning,defined as the ability to infer and compose relations among entities—is fundamental to geoinformatics applications such as spatial querying and map understanding.However,existing works such as Bidirectional Encoder Representations from Transformers(BERT)-based spatial Question Answering(QA)models and neuro-symbolic models rely on dataset-specific patterns,leading to shortcut learning,where reliance on superficial lexical cues rather than true relational understanding.Recent Large Language Models(LLMs)-based works,including fine-tuning and Chain-of-Thought(CoT)prompting,partially alleviate shortcut learning but remain limited by non-causal reasoning,where predictions depend on spurious correlations rather than stable relational structure.To address these limitations,we propose Causal Inference and Reasoning via Compact sUbnetwork IdenTification(CIRCUIT-X),motivated by the hypothesis that spatial reasoning in LLMs is governed by compact causal parameter subsets(a.k.a causal circuits).CIRCUIT-X operates in two stages:(i)Causal Importance Estimation(Stage Ⅰ)via structured interventions to mitigate shortcut learning,and(ii)Minimal Circuit Discovery(Stage Ⅱ)via structured pruning to mitigate non-causal reasoning.Empirically,CIRCUIT-X achieves up to 91%accuracy on SPAtial Reasoning on Textual Question Answering(SPARTQA)and 87%on StepGame,outperforming State-of-the-Art(SOTA)methods while improving intervention robustness by up to+11%and causal consistency by up to+16%.Therefore,it retains up to 96%of full-model performance using only 3%–6%of active parameters,while demonstrating strong robustness under cross-domain transfer with improvements of up to+10%in accuracy and substantially higher intervention stability under distribution shifts. 展开更多
关键词 Causal circuits geoinformatics large language models parameter-efficient learning spatial reasoning structured pruning
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Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits 认领 引用
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作者 Daniel Martín-Pérez Francesc Rodríguez-Díaz +2 位作者 David Gutiérrez-Avilés Alicia Troncoso Francisco Martínez-Álvarez 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第7期773-802,共30页
Hybrid classical-quantum architectures have emerged as a practical response to the data and compute demands of modern deep learning,since a pretrained classical backbone can carry the feature extraction while a compac... Hybrid classical-quantum architectures have emerged as a practical response to the data and compute demands of modern deep learning,since a pretrained classical backbone can carry the feature extraction while a compact quantum head provides the trainable component.Quantum transfer learning is the most active instance of this idea.However,existing quantum transfer learning pipelines have been evaluated in isolation,typically on a single software framework and without a structured treatment of noise or statistical significance,which makes it difficult to assess how this paradigm contributes over fair classical baselines.A methodological benchmark for quantum transfer learning is proposed in this paper.The benchmark couples a common set of frozen pretrained convolutional backbones to several classical and quantum classification heads,implemented in both PennyLane and Qiskit,so that the contribution of nonlinearity,software framework,and quantum component can be analyzed separately.The benchmark has been applied to heterogeneous image datasets covering medical,biological,industrial,and general-vision domains,and most configurations have been executed in three environments:ideal simulation,noisy emulation calibrated on IBM Heron r2 and real IBM quantum hardware.Complementary analyses isolate the contribution of individual noise channels,examine scalability with qubit count and circuit depth and assess the presence of barren plateaus.Statistical reliability is ensured through multiple random seeds and pairwise Wilcoxon signed-rank tests,providing the first controlled cross-framework assessment of quantum transfer learning under calibrated noise and on real hardware. 展开更多
关键词 Quantum computing transfer learning hybrid neural networks variational circuits
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A multilayered spiral architecture for fibre-integrated circuits enables intelligent closed-loop fibre systems 认领 引用
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作者 Bin Chen Yingying Zhang 《Science Bulletin》 SCIE EI CAS CSCD 2026年第13期3234-3236,共3页
Fibre electronics is redefining the role of conventional fibres,extending them from textile substrates for wearing and weaving to functional carriers for energy,sensing,display,and information processing.Remarkable ad... Fibre electronics is redefining the role of conventional fibres,extending them from textile substrates for wearing and weaving to functional carriers for energy,sensing,display,and information processing.Remarkable advances have recently been achieved in fibre-based energy harvesting,energy storage,sensing,and display technologies[1],[2],[3],[4]. 展开更多
关键词 intelligent closed loop fibre systems conventional fibres fibre electronics fibre integrated circuits conventional fibresextending textile substrates multilayered spiral architecture
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Transplantation of human neural stem cells repairs neural circuits and restores neurological function in the stroke-injured brain 认领 引用 被引量：2
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作者 Peipei Wang Peng Liu +7 位作者 Yingying Ding Guirong Zhang Nan Wang Xiaodong Sun Mingyue Li Mo Li Xinjie Bao Xiaowei Chen 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第3期1162-1171,共10页
Exogenous neural stem cell transplantation has become one of the most promising treatment methods for chronic stroke.Recent studies have shown that most ischemia-reperfusion model rats recover spontaneously after inju... Exogenous neural stem cell transplantation has become one of the most promising treatment methods for chronic stroke.Recent studies have shown that most ischemia-reperfusion model rats recover spontaneously after injury,which limits the ability to observe long-term behavioral recovery.Here,we used a severe stroke rat model with 150 minutes of ischemia,which produced severe behavioral deficiencies that persisted at 12 weeks,to study the therapeutic effect of neural stem cells on neural restoration in chronic stroke.Our study showed that stroke model rats treated with human neural stem cells had long-term sustained recovery of motor function,reduced infarction volume,long-term human neural stem cell survival,and improved local inflammatory environment and angiogenesis.We also demonstrated that transplanted human neural stem cells differentiated into mature neurons in vivo,formed stable functional synaptic connections with host neurons,and exhibited the electrophysiological properties of functional mature neurons,indicating that they replaced the damaged host neurons.The findings showed that human fetal-derived neural stem cells had long-term effects for neurological recovery in a model of severe stroke,which suggests that human neural stem cells-based therapy may be effective for repairing damaged neural circuits in stroke patients. 展开更多
关键词 behavioral recovery circuit repair electrophysiological properties functional integration human neural stem cell transplantation infarction volume stroke synaptic tracing
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Preface to Special Topic on Integrated Circuits, Technologies and Applications 2024 认领 引用
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作者 Zheng Wang Yan Lu 《Journal of Semiconductors》 EI CAS CSCD 2025年第6期6-7,共2页
This Special Topic of the Journal of Semiconductors(JOS)features expanded versions of key articles presented at the 2024 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which w... This Special Topic of the Journal of Semiconductors(JOS)features expanded versions of key articles presented at the 2024 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which was held in Hangzhou,Zhejiang,China,from October 25 to 27,2024. 展开更多
关键词 technologies IEEE International Conference Integrated Circuits Technologies Applications integrated circuits technologies integrated circuits Zhejiang expanded versions key articles journal semiconductors applications
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Passive auxiliary injection circuits for pulse tripling in three parallel-connected rectifiers 认领 引用
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作者 Md.Abdul Malek A.S.M.Junayet Hossain 《Journal of Electronic Science and Technology》 EI CAS CSCD 2026年第2期38-55,共18页
This paper proposes two types of passive auxiliary injection circuits(PAICs)that enable pulse tripling in three parallel-connected rectifiers,addressing the limitation of pulse multiplication to a factor of 2.The prop... This paper proposes two types of passive auxiliary injection circuits(PAICs)that enable pulse tripling in three parallel-connected rectifiers,addressing the limitation of pulse multiplication to a factor of 2.The proposed design combined three rectifier units with two PAICs consisting of a delta/star transformer and nine auxiliary diodes.By further integrating the PAICs with conventional topologies such as 3-pulse star,6-pulse star,6-pulse bridge,18-pulse star,and 18-pulse bridge rectifiers,we constructed 9-pulse star,18-pulse star,18-pulse bridge,54-pulse star,and 54-pulse bridge configurations,respectively.The validation in MATLAB/Simulink demonstrated that these configurations achieved a threefold increase in both output-voltage pulses and input-current steps without the need for complex phase-shifting transformers.Moreover,the total harmonic distortion of the input current was significantly reduced,with values of 12.63%,3.66%,3.43%,2.24%,and 1.90% for the respective designed rectifiers.To the best of our knowledge,this is the first demonstration of a passive pulse-tripling circuit for three parallelconnected rectifiers,offering a simple solution for high-current industrial applications. 展开更多
关键词 Harmonic reduction Multipulse rectifier Passive auxiliary injection circuit Rectifier Total harmonic distortion
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MET receptor tyrosine kinase promotes the generation of functional synapses in adult cortical circuits 认领 引用 被引量：1
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作者 Yuehua Cui Xiaokuang Ma +7 位作者 Jing Wei Chang Chen Neha Shakir Hitesch Guirram Zhiyu Dai Trent Anderson Deveroux Ferguson Shenfeng Qiu 《Neural Regeneration Research》 SCIE CAS CSCD 2025年第5期1431-1444,共14页
Loss of synapse and functional connectivity in brain circuits is associated with aging and neurodegeneration,however,few molecular mechanisms are known to intrinsically promote synaptogenesis or enhance synapse functi... Loss of synapse and functional connectivity in brain circuits is associated with aging and neurodegeneration,however,few molecular mechanisms are known to intrinsically promote synaptogenesis or enhance synapse function.We have previously shown that MET receptor tyrosine kinase in the developing cortical circuits promotes dendritic growth and dendritic spine morphogenesis.To investigate whether enhancing MET in adult cortex has synapse regenerating potential,we created a knockin mouse line,in which the human MET gene expression and signaling can be turned on in adult(10–12 months)cortical neurons through doxycycline-containing chow.We found that similar to the developing brain,turning on MET signaling in the adult cortex activates small GTPases and increases spine density in prefrontal projection neurons.These findings are further corroborated by increased synaptic activity and transient generation of immature silent synapses.Prolonged MET signaling resulted in an increasedα-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid/N-methyl-Daspartate(AMPA/NMDA)receptor current ratio,indicative of enhanced synaptic function and connectivity.Our data reveal that enhancing MET signaling could be an interventional approach to promote synaptogenesis and preserve functional connectivity in the adult brain.These findings may have implications for regenerative therapy in aging and neurodegeneration conditions. 展开更多
关键词 aging circuit connectivity cortical circuits molecular mechanisms neural regeneration neurodegeneration synapses
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Many-body scars in quantum Heisenberg XY models and analog simulations on superconducting circuits 认领 引用
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作者 Zexian GUO Jinlou MA +1 位作者 Yu GAO Lei YING 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS CSCD 2025年第9期876-894,共19页
Quantum many-body systems lie at the heart of modern fundamental physics.The study of these systems has revealed a plethora of fascinating phenomena,such as quantum thermalization,many-body localization,and quantum ma... Quantum many-body systems lie at the heart of modern fundamental physics.The study of these systems has revealed a plethora of fascinating phenomena,such as quantum thermalization,many-body localization,and quantum many-body scars.This review provides a comprehensive overview of the recent advances in understanding quantum many-body scars and non-ergodic dynamics in quantum systems on superconducting-circuit platforms,ranging from theoretical mechanisms and effective models to experimental observations. 展开更多
关键词 Quantum many-body scars Quantum chaos Quantum simulation Superconducting circuits
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Enhancing Safety in Electric Vehicles:Multi-Tiered Fault Detection for Micro Short Circuits and Aging in Battery Modules 认领 引用 被引量：1
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作者 Yi-Feng Luo Jyuan-FongYen Wen-Cheng Su 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第3期3069-3087,共19页
This article proposes a multi-tiered fault detection system for series-connected lithium-ion battery modules.Improper use of batteries can lead to electrolyte decomposition,resulting in the formation of lithium dendri... This article proposes a multi-tiered fault detection system for series-connected lithium-ion battery modules.Improper use of batteries can lead to electrolyte decomposition,resulting in the formation of lithium dendrites.These dendrites may pierce the separator,leading to the failure of the insulation layer between electrodes and causing micro short circuits.When a micro short circuit occurs,the electrolyte typically undergoes exothermic reactions,leading to thermal runaway and posing a safety risk to users.Relying solely on temperature-based judgment mechanisms within the battery management system often results in delayed intervention.To address this issue,the article develops a multi-tiered fault detection algorithm for series-connected lithium-ion batteries.This algorithm can effectively diagnose micro short circuits,aging,and normal batteries using minimal battery data,thereby improving diagnostic accuracy and enhancing the flexibility of fault detection.Simulations and experiments conducted under various levels of micro short circuits validate the effectiveness of the algorithm,demonstrating its ability to distinguish between short-circuited,aged,and normal batteries under different conditions.This technology can be applied to electric vehicles and energy storage systems,enabling early warnings to ensure safety and prevent thermal runaway. 展开更多
关键词 Multi-tiered fault detection micro short circuits(MSC) battery management system(BMS) lithiumion batteries electric vehicles(EV) energy storage systems(ESS)
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A low-noise and high-stability DC source for superconducting quantum circuits 认领 引用
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作者 Daxiong Sun Jiawei Zhang +16 位作者 Peisheng Huang Yubin Zhang Zechen Guo Tingjin Chen Rui Wang Xuandong Sun Jiajian Zhang Wenhui Huang Jiawei Qiu Ji Chu Ziyu Tao Weijie Guo Xiayu Linpeng Ji Jiang Jingjing Niu Youpeng Zhong Dapeng Yu 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第9期48-55,共8页
With the rapid scaling of superconducting quantum processors,electronic control systems relying on commercial off-the-shelf instruments face critical bottlenecks in signal density,power consumption,and crosstalk mitig... With the rapid scaling of superconducting quantum processors,electronic control systems relying on commercial off-the-shelf instruments face critical bottlenecks in signal density,power consumption,and crosstalk mitigation.Here we present a custom dual-channel direct current(DC)source module(QPower)dedicated to large-scale superconducting quantum processors.The module delivers a voltage range of±7 V with 200 m A maximum current per channel,while achieving the following key performance benchmarks:noise spectral density of√Hz at 10 k Hz,output ripple<500μVppwithin 20 MHz bandwidth,and long-term voltage drift<5μVpp over 12 hours.Integrated into the control electronics of a 66-qubit quantum processor,QPower enables qubit coherence time of T1=87.6μs and Ramsey dephasing time of T2=5.1μs,with qubit resonance frequency drift constrained to±40 k Hz during 12-hour operation.This modular design is compact in size and efficient in energy consumption,providing a scalable DC source solution for intermediate-scale quantum processors with stringent noise and stability requirements,with potential extensions to other quantum hardware platforms and precision measurement systems. 展开更多
关键词 superconducting quantum circuits superconducting qubit low noise DC source
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Research on Optimization Strategies for Signal Integrity of High-Speed Digital Circuits in Electronic Information Engineering 认领 引用 被引量：1
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作者 Yiming Li 《Journal of Electronic Research and Application》 2025年第5期304-309,共6页
With the rapid development of electronic information engineering,high-speed digital circuits have been increasingly widely applied in various fields.In high-speed digital circuits,signal integrity is prone to interfer... With the rapid development of electronic information engineering,high-speed digital circuits have been increasingly widely applied in various fields.In high-speed digital circuits,signal integrity is prone to interference from various external factors,leading to issues such as signal distortion or degradation of system performance.Based on this,this paper conducts research on the optimization strategies for signal integrity of high-speed digital circuits in electronic information engineering.It deeply analyzes the importance of high-speed digital circuits,elaborates on the challenges they face and the specific manifestations of signal integrity issues,and proposes a series of optimization strategies in electronic information engineering.The aim is to improve the signal integrity of highspeed digital circuits and provide theoretical support and practical guidance for the development of related fields. 展开更多
关键词 High-speed digital circuits Signal integrity Electronic information engineering Optimization strategies
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Two-Dimensional Materials,the Ultimate Solution for Future Electronics and Very-Large-Scale Integrated Circuits 认领 引用
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作者 Laixiang Qin Li Wang 《Nano-Micro Letters》 SCIE EI CAS CSCD 2025年第10期600-652,共53页
The relentless down-scaling of electronics grands the modern integrated circuits(ICs)with the high speed,low power dissipation and low cost,fulfilling diverse demands of modern life.Whereas,with the semiconductor indu... The relentless down-scaling of electronics grands the modern integrated circuits(ICs)with the high speed,low power dissipation and low cost,fulfilling diverse demands of modern life.Whereas,with the semiconductor industry entering into sub-10 nm technology nodes,degrading device performance and increasing power consumption give rise to insurmountable roadblocks confronted by modern ICs that need to be conquered to sustain the Moore law's life.Bulk semiconductors like prevalent Si are plagued by seriously degraded carrier mobility as thickness thinning down to sub-5 nm,which is imperative to maintain sufficient gate electrostatic controllability to combat the increasingly degraded short channel effects.Nowadays,the emergence of two-dimensional(2D)materials opens up new gateway to eschew the hurdles laid in front of the scaling trend of modern IC,mainly ascribed to their ultimately atomic thickness,capability to maintain carrier mobility with thickness thinning down,dangling-bonds free surface,wide bandgaps tunability and feasibility to constitute diverse heterostructures.Blossoming breakthroughs in discrete electronic device,such as contact engineering,dielectric integration and vigorous channel-length scaling,or large circuits arrays,as boosted yields,improved variations and full-functioned processor fabrication,based on 2D materials have been achieved nowadays,facilitating 2D materials to step under the spotlight of IC industry to be treated as the most potential future successor or complementary counterpart of incumbent Si to further sustain the down-scaling of modern IC. 展开更多
关键词 2D materials Short channel effects Integrated circuits Degraded carrier mobility Moore's law
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High-Frequency Analog Signal Processing in Integrated Circuits 认领 引用
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作者 Zhuoqing Wu 《Journal of Electronic Research and Application》 2025年第7期136-141,共6页
This paper focuses on high-frequency analog signal processing in integrated circuits,encompassing key aspects such as electromagnetic wave propagation in semiconductor media,device modeling,circuit architecture,noise ... This paper focuses on high-frequency analog signal processing in integrated circuits,encompassing key aspects such as electromagnetic wave propagation in semiconductor media,device modeling,circuit architecture,noise modeling,and power integrity.It analyzes the influence of these factors on signal processing performance and discusses corresponding technical approaches.In addition,the paper addresses representative applications in 5G communications,automotive radar,and medical imaging systems.Future research directions in high-frequency analog integrated circuit design are also discussed. 展开更多
关键词 High-frequency analog signal processing Integrated circuits Circuit architecture
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