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Multi-Attempt List Decoding of Polar Codes 认领 引用
1
作者 Yuan Peihong Chen Zhe +1 位作者 Wu Yongpeng Gao Yue 《China Communications》 SCIE EI CSCD 2026年第4期27-36,共10页
In this work,we propose a multi-attempt successive cancellation list(MA-SCL)decoder for polar codes that achieves identical error-correction performance to standard SCL decoding while reducing average complexity.Unlik... In this work,we propose a multi-attempt successive cancellation list(MA-SCL)decoder for polar codes that achieves identical error-correction performance to standard SCL decoding while reducing average complexity.Unlike CRC-aided SCL,the proposed MA-SCL progressively restarts decoding with increasing list sizes and reuses information from previous attempts.This design eliminates the need for outer CRC codes.The decoder features dynamic searchspace pruning and an early stopping criterion based on path metrics.Simulations show MA-SCL matches SCL performance with lower average complexity,particularly for short polar-like codes with reed-muller(RM)rate profiles and dynamic frozen constraints.Compared to existing adaptive decoders,MA-SCL offers implementation advantages by eliminating the need for stack-/heap management while providing relatively stable latency bounds(1×to|Λ|×SCL latency). 展开更多
关键词 complexity-adaptive decoding list decoding polar coding
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Study on the aided PC-ASCL decoding algorithm based on optimized parity check codes 认领 引用
2
作者 Jianguo YUAN Deyi YANG +1 位作者 Ziliang ZHU Jinneng XIANG 《Optoelectronics Letters》 EI 2026年第2期87-91,共5页
Aiming at the poor performance of the parity check(PC) aided adaptive successive cancellation list(PC-ASCL) decoding algorithm because the PC code in the polar code can only verify odd errors, an optimized parity chec... Aiming at the poor performance of the parity check(PC) aided adaptive successive cancellation list(PC-ASCL) decoding algorithm because the PC code in the polar code can only verify odd errors, an optimized parity check(OPC) code which can verify all odd errors as well as the half even errors is proposed. The OPC code is used to improve the PC-ASCL decoding algorithm, thus an OPC aided ASCL(OPC-ASCL) decoding algorithm is proposed. In the coding stage, the algorithm divides the information sequence into multiple segments, and places an OPC code at the end of each segment to verify the current information sequence, and places a cyclic redundancy check code at the end of the entire information sequence to verify the entire information sequence. In the decoding stage, the algorithm uses the OPC-ASCL decoder to decode. Simulation results show that compared to the PC-ASCL decoding algorithm, the OPC-ASCL decoding algorithm can reduce the complexity and obtain the certain performance gain. 展开更多
关键词 pc ascl decoding pc code adaptive successive cancellation list pc ascl divides information sequence multip parity check polar code optimized parity check coding stage
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Immune decoding from a multi-omics perspective:Redefining pancreatic cancer tumor microenvironment 认领 引用
3
作者 Enkui Zhang Yinmo Yang 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2026年第3期311-314,共4页
Pancreatic ductal adenocarcinoma(PDAC)has long been regarded as a prototypical immune-cold tumor because of its dense desmoplastic stroma,limited cytotoxic lymphocyte infiltration,and poor response to immunotherapy.Ho... Pancreatic ductal adenocarcinoma(PDAC)has long been regarded as a prototypical immune-cold tumor because of its dense desmoplastic stroma,limited cytotoxic lymphocyte infiltration,and poor response to immunotherapy.However,this definition is increasingly insufficient.Recent advances in single-cell sequencing,T-cell receptor(TCR)and B-cell receptor(BCR)repertoire profiling,single-cell immune receptor sequencing,three-dimensional(3D)genome technologies,spatial transcriptomics,spatial proteomics,and artificial intelligence(AI)-assisted data integration suggest that immune failure in PDAC is not merely a consequence of reduced immune effector cell abundance(1,2). 展开更多
关键词 transcriptomicsspatial proteomicsand cytotoxic lymphocyte immune decoding multi omics pancreatic ductal adenocarcinoma pdac pancreatic ductal adenocarcinoma artificial i desmoplastic stromalimited
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Non-Invasive Brain-Computer Interfaces:Converging Frontiers in Neural Signal Decoding and Flexible Bioelectronics Integration 认领 引用 被引量：2
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作者 Sheng Wang Xiaobin Song +4 位作者 Xiaopan Song Yang Gu Zhuangzhuang Cong Yi Shen Linwei Yu 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第6期399-447,共49页
The development of non-invasive brain-computer interfaces(BCIs)relies on multidisciplinary integration across neuroscience,artificial intelligence,flexible electronics,and systems engineering.Recent advances in deep l... The development of non-invasive brain-computer interfaces(BCIs)relies on multidisciplinary integration across neuroscience,artificial intelligence,flexible electronics,and systems engineering.Recent advances in deep learning have significantly improved the accuracy and robustness of neural signal decoding.Parallel progress in electrode design—particularly through the use of flexible and stretchable materials like nanostructured conductors and novel fabrication strategies—has enhanced wearability and operational stability.Nevertheless,key challenges persist,including individual variability,biocompatibility limitations,and susceptibility to interference in complex environments.Further validation and optimization are needed to address gaps in generalization capability,long-term reliability,and real-world operational robustness.This review systematically examines the representative progress in neural decoding algorithms and flexible bioelectronic platforms over the past decade,highlighting key design principles,material innovations,and integration strategies that are poised to advance non-invasive BCI capabilities.It also discusses the importance of multimodal data fusion,hardware-software co-optimization,and closed-loop control strategies.Furthermore,the review discusses the application potential and associated engineering challenges of this technology in clinical rehabilitation and industrial translation,aiming to provide a reference for advancing non-invasive BCIs toward practical and scalable deployment. 展开更多
关键词 Non-invasive BCIs Deep learning Neural signal decoding Nanowires Flexible bioelectronics
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Hemodynamic decoding for multimodal connected cardiovascular healthcare 认领 引用
5
作者 Yun Ke Ruijun Pan +5 位作者 Jun Li Wanghuai Xu Dalong Ni Zhou Li Zhong Lin Wang Fan Yang 《Science Bulletin》 SCIE EI CAS CSCD 2026年第13期3250-3252,共3页
Cardiovascular diseases(CVDs)remain the leading global cause of death,but their progression often remains clinically silent until acute events occur.Early warning signs frequently appear as subtle hemodynamic deviatio... Cardiovascular diseases(CVDs)remain the leading global cause of death,but their progression often remains clinically silent until acute events occur.Early warning signs frequently appear as subtle hemodynamic deviations,including changes in pulse-wave morphology,blood pressure(BP)dynamics,vascular stiffness,cardiac output surrogates,and tissue perfusion[1]. 展开更多
关键词 hemodynamic decoding pulse wave morphology tissue perfusion multimodal connected cardiovascular healthcare cardiovascular diseases cvds remain cardiovascular diseases hemodynamic deviationsincluding output surrogatesand
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AI-aided early sensing,decoding,and lab-to-field breeding for drought-resilient crops 认领 引用
6
作者 Muhammad Ahtasham Mushtaq Xia Tian +2 位作者 Cheng Dai Jiaming Zhang Chaozhi Ma 《Tropical Plants》 CSCD 2026年第1期9-26,共18页
Drought stands as the foremost abiotic constraint on global crop productivity.With climate change increasing the frequency and severity of drought events,a paradigm shift toward faster,more predictive,and mechanistica... Drought stands as the foremost abiotic constraint on global crop productivity.With climate change increasing the frequency and severity of drought events,a paradigm shift toward faster,more predictive,and mechanistically informed breeding is urgently required.This review synthesizes current advances to propose a connected'pixels-to-genes-to-fields'framework,integrating early drought phenotyping,causal gene discovery,AI-assisted laboratory engineering,and field-scale validation.We first examine how multimodal monitoring platforms,from satellites and UAVs to in-field sensors,coupled with advanced AI models,enable early stress detection and predictive risk mapping.We then distill the complex mechanistic pathways of drought response,spanning perception(e.g.,OSCA,MSL),signaling(ROS,CLE-ABA),stomatal regulation,and epigenetic memory,into structured biological priors.These priors,we argue,are crucial for guiding graph-based AI in identifying high-confidence genetic intervention points.At the field scale,we survey strategies where AI integrates genotype,environment,and phenomics data to model genotype-by-environment interactions and optimize trials via digital twins.At the laboratory scale,we summarize the role of AI in accelerating the design-build-test cycle through precision CRISPR design,synthetic expression engineering,and automated phenotyping.Finally,we highlight critical translational challenges,emphasizing the need for standardized data sharing,explainable AI,and responsible governance to bridge these innovations into the development of scalable,drought-resilient crop varieties. 展开更多
关键词 multimodal mo early sensing AI aided early drought phenotypingcausal gene discoveryai assisted lab field breeding phenotyping decoding climate change
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Low Complexity Successive Cancellation List Decoding of U-UV Codes 认领 引用
7
作者 Chen Wenhao Chen Li +1 位作者 Lin Jingyu Zhang Huazi 《China Communications》 SCIE EI CSCD 2025年第1期41-60,共20页
Constituted by BCH component codes and its ordered statistics decoding(OSD),the successive cancellation list(SCL)decoding of U-UV structural codes can provide competent error-correction performance in the short-to-med... Constituted by BCH component codes and its ordered statistics decoding(OSD),the successive cancellation list(SCL)decoding of U-UV structural codes can provide competent error-correction performance in the short-to-medium length regime.However,this list decoding complexity becomes formidable as the decoding output list size increases.This is primarily incurred by the OSD.Addressing this challenge,this paper proposes the low complexity SCL decoding through reducing the complexity of component code decoding,and pruning the redundant SCL decoding paths.For the former,an efficient skipping rule is introduced for the OSD so that the higher order decoding can be skipped when they are not possible to provide a more likely codeword candidate.It is further extended to the OSD variant,the box-andmatch algorithm(BMA),in facilitating the component code decoding.Moreover,through estimating the correlation distance lower bounds(CDLBs)of the component code decoding outputs,a path pruning(PP)-SCL decoding is proposed to further facilitate the decoding of U-UV codes.In particular,its integration with the improved OSD and BMA is discussed.Simulation results show that significant complexity reduction can be achieved.Consequently,the U-UV codes can outperform the cyclic redundancy check(CRC)-polar codes with a similar decoding complexity. 展开更多
关键词 ordered statistics decoding successive cancellation list decoding U-UV codes
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Research on deep learning decoding method for polar codes in ACO-OFDM spatial optical communication system 认领 引用
8
作者 LIU Kangrui LI Ming +2 位作者 CHEN Sizhe QU Jiashun ZHOU Ming’ou 《Optoelectronics Letters》 EI 2025年第7期427-433,共7页
Aiming at the problem that the bit error rate(BER)of asymmetrically clipped optical orthogonal frequency division multiplexing(ACO-OFDM)space optical communication system is significantly affected by different turbule... Aiming at the problem that the bit error rate(BER)of asymmetrically clipped optical orthogonal frequency division multiplexing(ACO-OFDM)space optical communication system is significantly affected by different turbulence intensities,the deep learning technique is proposed to the polarization code decoding in ACO-OFDM space optical communication system.Moreover,this system realizes the polarization code decoding and signal demodulation without frequency conduction with superior performance and robustness compared with the performance of traditional decoder.Simulations under different turbulence intensities as well as different mapping orders show that the convolutional neural network(CNN)decoder trained under weak-medium-strong turbulence atmospheric channels achieves a performance improvement of about 102compared to the conventional decoder at 4-quadrature amplitude modulation(4QAM),and the BERs for both 16QAM and 64QAM are in between those of the conventional decoder. 展开更多
关键词 frequency conduction polar codes deep learning signal demodulation deep learning technique decoding ACO OFDM polarization code decoding
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Computation-Efficient Decoding of LDPC Codes for High-Speed Space Laser Communications 认领 引用
9
作者 Hu Zhuojun Chen Zhao +1 位作者 Kuang Linling Yin Liuguo 《China Communications》 SCIE EI CSCD 2025年第12期108-123,共16页
Space laser communication(SLC)is an emerging technology to support high-throughput data transmissions in space networks.In this paper,to guarantee the reliability of high-speed SLC links,we aim at practical implementa... Space laser communication(SLC)is an emerging technology to support high-throughput data transmissions in space networks.In this paper,to guarantee the reliability of high-speed SLC links,we aim at practical implementation of low-density paritycheck(LDPC)decoding under resource-restricted space platforms.Particularly,due to the supply restriction and cost issues of high-speed on-board devices such as analog-to-digital converters(ADCs),the input of LDPC decoding will be usually constrained by hard-decision channel output.To tackle this challenge,density-evolution-based theoretical analysis is firstly performed to identify the cause of performance degradation in the conventional binaryinitialized iterative decoding(BIID)algorithm.Then,a computation-efficient decoding algorithm named multiary-initialized iterative decoding with early termination(MIID-ET)is proposed,which improves the error-correcting performance and computation efficiency by using a reliability-based initialization method and a threshold-based decoding termination rule.Finally,numerical simulations are conducted on example codes of rates 7/8 and 1/2 to evaluate the performance of different LDPC decoding algorithms,where the proposed MIID-ET outperforms the BIID with a coding gain of 0.38 dB and variable node calculation saving of 37%.With this advantage,the proposed MIID-ET can notably reduce LDPC decoder’s hardware implementation complexity under the same bit error rate performance,which successfully doubles the total throughput to 10 Gbps on a single-chip FPGA. 展开更多
关键词 computation-efficient decoding highspeed decoders LDPC codes LLR initialization space laser communications
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Neural network-based decoding for bias-tailored quantum codes over quantum channels with asymmetric noise 认领 引用
10
作者 Jihao Fan Qianhui Zhang +1 位作者 Zhihua Zhang Jun Li 《Communications in Theoretical Physics》 SCIE CAS CSCD 2025年第12期32-42,共11页
To improve the decoding performance of quantum error-correcting codes in asymmetric noise channels,a neural network-based decoding algorithm for bias-tailored quantum codes is proposed.The algorithm consists of a bias... To improve the decoding performance of quantum error-correcting codes in asymmetric noise channels,a neural network-based decoding algorithm for bias-tailored quantum codes is proposed.The algorithm consists of a biased noise model,a neural belief propagation decoder,a convolutional optimization layer,and a multi-objective loss function.The biased noise model simulates asymmetric error generation,providing a training dataset for decoding.The neural network,leveraging dynamic weight learning and a multi-objective loss function,mitigates error degeneracy.Additionally,the convolutional optimization layer enhances early-stage convergence efficiency.Numerical results show that for bias-tailored quantum codes,our decoder performs much better than the belief propagation(BP)with ordered statistics decoding(BP+OSD).Our decoder achieves an order of magnitude improvement in the error suppression compared to higher-order BP+OSD.Furthermore,the decoding threshold of our decoder for surface codes reaches a high threshold of 20%. 展开更多
关键词 quantum error correction quantum channels asymmetric noise neural networkbased decoding bias-tailored quantum codes
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An Optimization of Weak Key Attacks Based on the BGF Decoding Algorithm 认领 引用
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作者 Bing Liu Ting Nie +1 位作者 Yansong Liu Weibo Hu 《Computers, Materials & Continua》 SCIE EI 2025年第9期4583-4599,共17页
Among the four candidate algorithms in the fourth round of NIST standardization,the BIKE(Bit Flipping Key Encapsulation)scheme has a small key size and high efficiency,showing good prospects for application.However,th... Among the four candidate algorithms in the fourth round of NIST standardization,the BIKE(Bit Flipping Key Encapsulation)scheme has a small key size and high efficiency,showing good prospects for application.However,the BIKE scheme based on QC-MDPC(Quasi Cyclic Medium Density Parity Check)codes still faces challenges such as the GJS attack and weak key attacks targeting the decoding failure rate(DFR).This paper analyzes the BGF decoding algorithm of the BIKE scheme,revealing two deep factors that lead to DFR,and proposes a weak key optimization attack method for the BGF decoding algorithm based on these two factors.The proposed method constructs a new weak key set,and experiment results eventually indicate that,considering BIKE’s parameter set targeting 128-bit security,the average decryption failure rate is lowerly bounded by.This result not only highlights a significant vulnerability in the BIKE scheme but also provides valuable insights for future improvements in its design.By addressing these weaknesses,the robustness of QC-MDPC code-based cryptographic systems can be enhanced,paving the way for more secure post-quantum cryptographic solutions. 展开更多
关键词 BIKE BGF decoding algorithm weak key attack GJS attack
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Large Language Models With Contrastive Decoding Algorithm for Hallucination Mitigation in Low-Resource Languages 认领 引用 被引量：1
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作者 Zan Hongying Arifa Javed +2 位作者 Muhammad Abdullah Javed Rashid Muhammad Faheem 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2025年第4期1104-1117,共14页
Neural machine translation(NMT)has advanced with deep learning and large-scale multilingual models,yet translating lowresource languages often lacks sufficient training data and leads to hallucinations.This often resu... Neural machine translation(NMT)has advanced with deep learning and large-scale multilingual models,yet translating lowresource languages often lacks sufficient training data and leads to hallucinations.This often results in translated content that diverges significantly from the source text.This research proposes a refined Contrastive Decoding(CD)algorithm that dynamically adjusts weights of log probabilities from strong expert and weak amateur models to mitigate hallucinations in lowresource NMT and improve translation quality.Advanced large language NMT models,including ChatGLM and LLaMA,are fine-tuned and implemented for their superior contextual understanding and cross-lingual capabilities.The refined CD algorithm evaluates multiple candidate translations using BLEU score,semantic similarity,and Named Entity Recognition accuracy.Extensive experimental results show substantial improvements in translation quality and a significant reduction in hallucination rates.Fine-tuned models achieve higher evaluation metrics compared to baseline models and state-of-the-art models.An ablation study confirms the contributions of each methodological component and highlights the effectiveness of the refined CD algorithm and advanced models in mitigating hallucinations.Notably,the refined methodology increased the BLEU score by approximately 30%compared to baseline models. 展开更多
关键词 ChatGLM contrastive decoding hallucination LLAMA LLM low resource NMT
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Shortened PAC Codes and List Decoding 认领 引用 被引量：1
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作者 LIU Aolin FENG Bowen +2 位作者 LIANG Chulong XU Jin ZHANG Qinyu 《ZTE Communications》 2025年第4期86-96,共11页
Shortening is a standard rate-matching method for polar codes in wireless communications.Since polarization-adjusted convolu⁃tional(PAC)codes also have a block length limited to the integer powers of two,they also req... Shortening is a standard rate-matching method for polar codes in wireless communications.Since polarization-adjusted convolu⁃tional(PAC)codes also have a block length limited to the integer powers of two,they also require rate-matching.To this end,we first analyze the limitations of existing shortening patterns for PAC codes and explore their feasibility.Subsequently,we propose a novel shortening scheme for PAC codes based on list decoding,where the receiver is allowed to treat the values of the deleted bits as undetermined.This ap⁃proach uses a specialized PAC codeword and activates multiple decoding paths during the initialization of list decoding,enabling it to achieve the desired reliability. 展开更多
关键词 polarization-adjusted convolutional codes rate-matching shortened codes list decoding
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Improved Polytope Generation for CRC-Aided Adaptive Linear Programming Polar Decoding 认领 引用
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作者 Xie Mutong Du Zhongze +2 位作者 Zou Guoxue Tian Lin Yuan Jinhong 《China Communications》 SCIE EI CSCD 2025年第12期124-136,共13页
Linear programming(LP)decoding is a classic decoding method for linear block codes,and has attracted recent researches because its potential in joint channel processing.However,for polar codes,LP decoders has long bee... Linear programming(LP)decoding is a classic decoding method for linear block codes,and has attracted recent researches because its potential in joint channel processing.However,for polar codes,LP decoders has long been outperformed by CRCaided successive cancellation list(CA-SCL)decoders.To increase the competitiveness of 5G NR LP polar decoding,it is possible to gain performance improvements by exploiting the cyclic redundancy check(CRC)setup.In this paper,we propose a combined scheme of reduced sparsified factor graph-sparsified CRC(RSFG-SCRC)and augmented generator matrix-CRC(AGM-CRC),for polytope generation in adaptive linear programming(ALP)decoder for 5G polar codes.Augmented generator matrix(AGM)polytope and improved maximum cycle strategy-auxiliary node pairs 4(MCS-ANP-4)algorithm are proposed,to make efficient use of CRC constraints and minimize the constraint size for the decoder.Numerical simulations show that adaptive linear programming decoders with our proposed RSFG-SCRC and AGM-CRC polytopes can achieve significantly better block error rate(BLER)performance than a benchmark CA-SCL-8 decoder especially in harsh low-to-medium SNR regions. 展开更多
关键词 codeword polytope cyclic redundancy check 5G NR linear programming decoding polar code
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Multi-protocol quantum key distribution decoding chip 认领 引用
15
作者 Chun-Xue Zhang Jian-Guang Li +3 位作者 Yue Wang Wei Chen Jia-Shun Zhang Jun-Ming An 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第5期34-41,共8页
Quantum key distribution(QKD)is a method for secure communication that utilizes quantum mechanics principles to distribute cryptographic keys between parties.Integrated photonics offer benefits such as compactness,sca... Quantum key distribution(QKD)is a method for secure communication that utilizes quantum mechanics principles to distribute cryptographic keys between parties.Integrated photonics offer benefits such as compactness,scalability,energy efficiency and the potential for extensive integration.We have achieved BB84 phase encoding and decoding,time-bin phase QKD,and the coherent one-way(COW)protocol on a planar lightwave circuit(PLC)platform.At the optimal temperature,our chip successfully prepared quantum states,performed decoding and calculated the secure key rate of the time-bin phasedecoding QKD to be 80.46 kbps over a 20 km transmission with a quantum bit error rate(QBER)of 4.23%.The secure key rate of the COW protocol was 18.18 kbps,with a phase error rate of 3.627%and a time error rate of 0.377%.The uniqueness of this technology lies in its combination of high integration and protocol flexibility,providing an innovative solution for the development of future quantum communication networks. 展开更多
关键词 quantum key distribution(QKD) secure key rate decoding chip quantum bit error rate
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DDFNet:real-time salient object detection with dual-branch decoding fusion for steel plate surface defects 认领 引用
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作者 Tao Wang Wang-zhe Du +5 位作者 Xu-wei Li Hua-xin Liu Yuan-ming Liu Xiao-miao Niu Ya-xing Liu Tao Wang 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2025年第8期2421-2433,共13页
A novel dual-branch decoding fusion convolutional neural network model(DDFNet)specifically designed for real-time salient object detection(SOD)on steel surfaces is proposed.DDFNet is based on a standard encoder–decod... A novel dual-branch decoding fusion convolutional neural network model(DDFNet)specifically designed for real-time salient object detection(SOD)on steel surfaces is proposed.DDFNet is based on a standard encoder–decoder architecture.DDFNet integrates three key innovations:first,we introduce a novel,lightweight multi-scale progressive aggregation residual network that effectively suppresses background interference and refines defect details,enabling efficient salient feature extraction.Then,we propose an innovative dual-branch decoding fusion structure,comprising the refined defect representation branch and the enhanced defect representation branch,which enhance accuracy in defect region identification and feature representation.Additionally,to further improve the detection of small and complex defects,we incorporate a multi-scale attention fusion module.Experimental results on the public ESDIs-SOD dataset show that DDFNet,with only 3.69 million parameters,achieves detection performance comparable to current state-of-the-art models,demonstrating its potential for real-time industrial applications.Furthermore,our DDFNet-L variant consistently outperforms leading methods in detection performance.The code is available at http://gffzz188fe103f8f1460as5p90bcvbc6nv6uxp.ffgz.tsg.suse.edu.cn/13140W/DDFNet. 展开更多
关键词 Steel plate surface defect Real-time detection Salient object detection Dual-branch decoder Multi-scale attention fusion Multi-scale residual fusion
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Decoding Quantum Search Advantage:The Critical Role of State Properties in Random Walks 认领 引用
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作者 Si-Qi Zhou Jin-Min Liang +3 位作者 Zi-Heng Ding Zhi-Hua Chen Shao-Ming Fei Zhi-Hao Ma 《Chinese Physics Letters》 SCIE EI CAS CSCD 2025年第9期88-101,共14页
Quantum algorithms have demonstrated provable speedups over classical counterparts,yet establishing a comprehensive theoretical framework to understand the quantum advantage remains a core challenge.In this work,we de... Quantum algorithms have demonstrated provable speedups over classical counterparts,yet establishing a comprehensive theoretical framework to understand the quantum advantage remains a core challenge.In this work,we decode the quantum search advantage by investigating the critical role of quantum state properties in random-walk-based algorithms.We propose three distinct variants of quantum random-walk search algorithms and derive exact analytical expressions for their success probabilities.These probabilities are fundamentally determined by specific initial state properties:the coherence fraction governs the first algorithm’s performance,while entanglement and coherence dominate the outcomes of the second and third algorithms,respectively.We show that increased coherence fraction enhances success probability,but greater entanglement and coherence reduce it in the latter two cases.These findings reveal fundamental insights into harnessing quantum properties for advantage and guide algorithm design.Our searches achieve Grover-like speedups and show significant potential for quantum-enhanced machine learning. 展开更多
关键词 derive exact analytical expressions quantum search establishing comprehensive theoretical framework understand quantum advantage quantum random walk entanglement success probability decode quantum search advantage coherence
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Modulation of tRNAClndecoding efficacy by metal ion binding and glutamine supply 认领 引用
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作者 Yuxuan Shen Tianchang Wang +3 位作者 Hua Qiao Qing Liang Jingru Lv Qing Xia 《Journal of Chinese Pharmaceutical Sciences》 CAS CSCD 2025年第1期28-40,共13页
Transfer RNAs(tRNAs)adopt a stable L-shaped tertiary structure crucial for their involvement in protein translation.Among various divalent metal ions,magnesium ions play a pivotal role in preserving the tertiary struc... Transfer RNAs(tRNAs)adopt a stable L-shaped tertiary structure crucial for their involvement in protein translation.Among various divalent metal ions,magnesium ions play a pivotal role in preserving the tertiary structure of tRNA.However,the precise location of the Mg2+binding pocket in human tRNA remains elusive.In this investigation,we identified the Mg2+binding site within human tRNAGln using suppressor tRNAGln.This variant of tRNA recognizes premature stop codons(specificlly UAG)and facilitates the expression of fll-length proteis.By mutating sites 8 and C72 in supprssr tRNAcl,we assessed the decoding efficiency of the resulting mutant suppressor tRNAs,which serves as a measure of tRNA's ability to decode genetic information.Our analysis revealed that the U8C mutant suppressor tRNA exhibited a significantly lower Mg2+content compared to the C72U mutant.Furthermore,we observed a notable reduction in decoding efficiency in the U8-mutated suppressor tRNA,as evidenced by GFP fluorescence and Western blotting analysis.Conversely,mutations at the C72 site had a comparatively minor impact on decoding efficiency.These findings underscored the tight binding of Mg2+to the U8 site of human tRNAGln,crucial for maintaining the stability of tRNA tertiary structure and translation efficacy.Additionally,our investigation delved into the influence of glutamine availability on tRNA decoding efficiency at the cellular level.The results indicated that both the concentration of amino acids and the codon context of TAG could modulate tRNA decoding efficiency.This study provided valuable insights into the structure and function of tRNA,laying the groundwork for further exploration in this field. 展开更多
关键词 Metal ions tRNA tertiary structure Glutamine supply Decoding efficacy
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Decoding the Commercial“Rubik’s Cube”In the New Consumption Era 认领 引用
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作者 Ada Wang Zhang Ximeng 《China's Foreign Trade》 2025年第2期49-52,共4页
The 51st China Beijing International Gifts,Premium and Houseware Exhibition(hereinafter referred to as the Gifts Exhibition) officially opened the kaleidoscope of creative gifts at China International Exhibition Cente... The 51st China Beijing International Gifts,Premium and Houseware Exhibition(hereinafter referred to as the Gifts Exhibition) officially opened the kaleidoscope of creative gifts at China International Exhibition Center (Chaoyang Pavilion) on March 20th.More than 900 exhibitors built an aesthetic corridor of quality life with 200,000 gifts. 展开更多
关键词 Chaoyang Pavilion premium houseware exhibition new consumption era kaleidoscope creative gifts commercial decoding creative gifts China International Exhibition Center Rubiks cube
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