We study the performance of high-dimensional superdense coding(HD-SDC)over an amplitude damping(AD)channel with memory and propose a protocol that leverages partial measurement and its reversal to enhance the channel ...We study the performance of high-dimensional superdense coding(HD-SDC)over an amplitude damping(AD)channel with memory and propose a protocol that leverages partial measurement and its reversal to enhance the channel capacity.By considering a two-qutrit system,we model the memory AD noise using a convex mixture of memoryless and perfectly memory AD channels.We demonstrate that the memory effect alone can mitigate the decay of the SDC capacity under noise.More significantly,we show that the application of partial measurement before the channel and its reversal after the channel can not only recover the capacity degraded by noise but,for certain non-maximally entangled initial states,even amplify it beyond the initial capacity.This amplification effect is governed by three key factors:the ground-state probability in the initial entangled state,the memory strength,and the partial measurement strength.Our results provide a practical strategy for enhancing quantum communication protocols in realistic noisy environments and highlight the synergistic benefits of memory noise and measurement-based control.展开更多
Meteor burst channels(MBC)exhibit significant randomness and non-stationarity,limiting the effectiveness of traditional fixed-rate transmission strategies.This paper proposes an adaptive coding and modulation(ACM)sche...Meteor burst channels(MBC)exhibit significant randomness and non-stationarity,limiting the effectiveness of traditional fixed-rate transmission strategies.This paper proposes an adaptive coding and modulation(ACM)scheme based on real-time channel state perception using enhanced Turbo codes.By leveraging the interleaving structure of Turbo codes to mitigate channel fading and incorporating multi-rate adaptation,the scheme dynamically adjusts symbol rate,modulation,and coding methods to improve spectral efficiency.Meanwhile,a joint evaluation mechanism integrating physical-layer signal to noise ratio(SNR)estimation and media access control(MAC)-layer frame error rate(FER)statistics is introduced to achieve dynamic optimization of switching thresholds in multipath channels.Simulation and experimental results demonstrate that the proposed scheme significantly enhances system adaptability to MBC,and increases data transmission success rates,offering a more efficient and reliable solution for MBC systems.展开更多
Tuber dormancy and sprouting are significant for potato cultivation,storage,and processing.Although the substantial role of microRNAs(miRNAs)in some biological processes has been recognized,the critical role of miRNA ...Tuber dormancy and sprouting are significant for potato cultivation,storage,and processing.Although the substantial role of microRNAs(miRNAs)in some biological processes has been recognized,the critical role of miRNA in breaking potato tuber dormancy is not well understood to date.In this investigation,we expand research on miRNA-mediated gene regulation in tuber dormancy release.In this work,204 known and 192 novel miRNAs were identified.One hundred thirty-six differentially expressed miRNAs(DE-miRNAs)were also screened out,of which 56 DE-miRNAs were regulated by temperature during tuber dormancy release.Additionally,degradome sequencing revealed that 821 target genes for 202 miRNAs were discovered.Among them,63 target genes and 48 miRNAs were predicted to be involved in plant hormone signaling pathways.This study used degradome sequencing,tobacco cotransformation system,and β-glucuronidase(GUS)staining technology to confirm that stu-miR319c can target StTCP26 and StTCP27 and effectively suppress their expression.The transgenic approach exhibited that stu-miR319c overexpressed tubers sprouted in advance,while silent expression of stu-miR319c showed delayed sprouting.Treatment of wild-type tubers with exogenous MeJA revealed that 1 mg/L MeJA significantly broke dormancy and enhanced potato sprouting ability.Furthermore,transgenic tubers revealed variance in jasmonic acid(JA)content and relative expression of genes associated with the JA synthesis pathway,including StAOC,StLOX2,and StLOX4,suggesting that the miR319c may participate in the JA pathway to regulate tuber dormancy release.In summary,our research offers evidence that miRNA regulates potato dormancy release and supports the idea that stu-miR319c is a unique epigenetic regulator for dormancy-sprouting transition in potatoes.展开更多
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
Pear ring rot disease(Botryosphaeria dothidea)is a significant threat to the healthy development of the pear industry.Recent research has identified the functional role of long non-coding RNAs(lncRNAs)in various biolo...Pear ring rot disease(Botryosphaeria dothidea)is a significant threat to the healthy development of the pear industry.Recent research has identified the functional role of long non-coding RNAs(lncRNAs)in various biological processes of plants.The role of lncRNAs in the pear defense response remains unknown.In this study,transcriptome sequencing was used to analyze lncRNAs in pear stem infected with B.dothidea.It identified 3555 lncRNAs,of which 286 were significantly differentially expressed.GO and KEGG analyses showed that cis-and trans-regulated target genes were enriched in multiple disease resistance-related pathways.More specifically,MSTRG.32189,predicted as an endogenous target mimic(eTM),was significantly down-regulated in response to B.dothidea infection,and was confirmed to inhibit the cleavage effect of PcmiR399b on PcUBC24.OE-MSTRG.32189 transgenic Arabidopsis exhibited lower Pi content and weaker disease resistance to Botrytis cinerea compared with wild type.In pear callus,overexpression of MSTRG.32189 negatively regulated PcmiR399b,which decreased Pi content and reduced disease resistance.Overexpressing PcmiR399b in pear callus exhibited the opposite effects compared with OE-MSTRG.32189.Overexpression and knockout of PcUBC24 further clarified that PcUBC24 negatively regulates Pi content and disease resistance to B.dothidea infection.Furthermore,the ROS levels and expressions of disease resistance pathway-related genes were regulated by the MSTRG.32189-PcmiR399b-PcUBC24 module in transgenic pear callus,which contributed to disease resistance.Overall,our results demonstrated the role of lncRNAs in the pear defense response,revealing that the MSTRG.32189-PcmiR399b-PcUBC24 module regulates phosphate accumulation and disease resistance to B.dothidea infection in pear.展开更多
In the article“Silencing of the long non-coding RNA LINC00265 triggers autophagy and apoptosis in lung cancer by reducing protein stability of SIN3A oncogene”(Oncology Research.2024,Vol.32,No.7,pp.1185–1195.doi:10....In the article“Silencing of the long non-coding RNA LINC00265 triggers autophagy and apoptosis in lung cancer by reducing protein stability of SIN3A oncogene”(Oncology Research.2024,Vol.32,No.7,pp.1185–1195.doi:10.32604/or.2023.030771,http://gffzz9e48629005df441asu55u0kv55nfx6qu9.ffgz.tsg.suse.edu.cn/or/v32n7/57163),an inadvertent error occurred during the compilation of Fig.3H.This needed corrections to ensure the accuracy and integrity of the data presented.展开更多
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
Quantum error correction technology is based on the principle of redundant encoding,encoding logical quantum information into multiple physical qubits to provide important support for the stable operation of quantum c...Quantum error correction technology is based on the principle of redundant encoding,encoding logical quantum information into multiple physical qubits to provide important support for the stable operation of quantum computers.To address the issues of low decoding accuracy and limited feature extraction in quantum error correction,this paper proposes a toric code decoder based on a syndrome-preliminary error fusion module(SPEFM)and a ResNet architecture.This decoder takes full advantage of the correlations between X and Z errors.In the SPEFM,the syndrome and preliminary error predictions are deeply fused,while a unidirectional Swin transformer architecture is incorporated to extract global error features from the syndrome data,signiffiificantly improving both decoding accuracy and computational efffiificiency.In addition,this paper further extracts local error features from the fused features using the deep residual structure of ResNet,enhancing the decoder's ability to capture quantum error patterns.Experimental results show that the decoder is applicable to different code distances(d=4,6,8,10)under the depolarizing noise model.Its bit error rate is lower than that of the minimum weight perfect matching(MWPM)algorithm,and its logical error rate is lower than both the MWPM algorithm and the ResNet18 decoder.Furthermore,the decoding threshold is increased to 0.163,representing a 3.82%improvement over the MWPM algorithm threshold of 0.157.展开更多
Lossy image coding is the art of computing that is principally bounded by the image’s rate-distortion function.This bound,though never accurately characterized,has been approached practically via deep learning techno...Lossy image coding is the art of computing that is principally bounded by the image’s rate-distortion function.This bound,though never accurately characterized,has been approached practically via deep learning technologies in recent years.Indeed,learned image coding schemes allow direct optimization of the joint rate-distortion cost,thereby outperforming the handcrafted image coding schemes by a large margin.Still,it is observed that there is room for further improvement in the rate-distortion performance of learned image coding.In this article,we identify the gap between the ideal rate-distortion function forecasted by Shannon’s information theory and the empirical rate-distortion function achieved by the state-of-the-art learned image coding schemes,revealing that the gap is incurred by five different effects:modeling effect,approximation effect,amortization effect,digitization effect,and asymptotic effect.We design simulations and experiments to quantitatively evaluate the last three effects,which demonstrates the high potential of future lossy image coding technologies.展开更多
Quantum error correction is a technique that enhances a system’s ability to combat noise by encoding logical information into additional quantum bits,which plays a key role in building practical quantum computers.The...Quantum error correction is a technique that enhances a system’s ability to combat noise by encoding logical information into additional quantum bits,which plays a key role in building practical quantum computers.The XZZX surface code,with only one stabilizer generator on each face,demonstrates significant application potential under biased noise.However,the existing minimum weight perfect matching(MWPM)algorithm has high computational complexity and lacks flexibility in large-scale systems.Therefore,this paper proposes a decoding method that combines graph neural networks(GNN)with multi-classifiers,the syndrome is transformed into an undirected graph,and the features are aggregated by convolutional layers,providing a more efficient and accurate decoding strategy.In the experiments,we evaluated the performance of the XZZX code under different biased noise conditions(bias=1,20,200)and different code distances(d=3,5,7,9,11).The experimental results show that under low bias noise(bias=1),the GNN decoder achieves a threshold of 0.18386,an improvement of approximately 19.12%compared to the MWPM decoder.Under high bias noise(bias=200),the GNN decoder reaches a threshold of 0.40542,improving by approximately 20.76%,overcoming the limitations of the conventional decoder.They demonstrate that the GNN decoding method exhibits superior performance and has broad application potential in the error correction of XZZX code.展开更多
Implementing check node(CN)update based on the minimum value(MV)and second MV of incoming message magnitudes is crucial for Min-Sum Algorithms(MSAs).In the category of bit-serial implementations,existing schemes suffe...Implementing check node(CN)update based on the minimum value(MV)and second MV of incoming message magnitudes is crucial for Min-Sum Algorithms(MSAs).In the category of bit-serial implementations,existing schemes suffer from decoding performance degradation,large hardware areas,and/or long latency.In this paper,we propose two efficient CN update functions based on the MV and an approximate second MV,and design bit-serial architectures to implement them.Simulation results show that our functions exhibit the minimum decoding performance degradation compared to the existing functions using approximate second MVs.Moreover,the applicationspecific integrated circuits(ASIC)implementation results demonstrate the advantages of our architectures in terms of area,latency,etc.展开更多
This article investigates the distributed recursive filtering problem for discrete-time stochastic cyber–physical systems.A particular feature of our work is that we consider systems in which the state is constrained...This article investigates the distributed recursive filtering problem for discrete-time stochastic cyber–physical systems.A particular feature of our work is that we consider systems in which the state is constrained by saturation.Measurements are transmitted to nodes of a sensor network over unreliable wireless channels.We propose a linear coding mechanism,together with a distributed method for obtaining a state estimate at each node.These designs aim to minimize the state estimation error covariance.In addition,we derive a bound on this covariance,and accommodate the design parameters to minimize this bound.The resulting design depends on the packet loss probabilities of the wireless channels.This permits applying the proposed scheme to systems in which communications suffer from denial-of-service attacks,as such attacks typically affect those probabilities.Finally,we present a numerical example illustrating this application.展开更多
In recent years,large language models(LLMs)have seen growing application in code understanding and security analysis.However,their performance relies heavily on prompt context quality and engineering design,with unsta...In recent years,large language models(LLMs)have seen growing application in code understanding and security analysis.However,their performance relies heavily on prompt context quality and engineering design,with unstable vulnerability detection and high false positive rates remaining key bottlenecks to reliable adoption.This paper systematically reviews advances in prompt engineering and context optimization across four core areas and proposes LARA(LLM-Augmented Reachability Analysis),a neural-symbolic framework leveraging code property graphs(CPGs),which uses a static analysis engine to extract source-to-sink data flow paths,integrates systematic prompt engineering to create context-aware prompts,and invokes LLMs for path risk scoring and reasoning.The framework forms a closed-loop process of path identification,risk assessment,and manual verification.Experimental validation on the Log4Shell vulnerability shows LARA accurately identifies core exploit paths and outperforms traditional static signature methods in covering unknown/variant vulnerabilities without explicit dangerous functions,with notable improvements in contextual understanding and detection accuracy.Our study identifies three core research trends:systematic context engineering,task-adaptive prompt strategies,and prompt-analysis closed loops in code security.However,LLMs still face challenges like long-text generation logic breaks,cross-model prompt transfer degradation,and code security false positive control.Future work should focus on long-context understanding/generation co-optimization,code-security-oriented fine-tuning of open-source LLMs,and deep CPG-prompt engineering integration to advance LLMs’practical use in code security.展开更多
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
Compact size,high brightness,and wide field of view(FOV)are key requirements for long-wave infrared imagers used in military surveillance or night navigation.However,to meet the imaging requirements of high resolution...Compact size,high brightness,and wide field of view(FOV)are key requirements for long-wave infrared imagers used in military surveillance or night navigation.However,to meet the imaging requirements of high resolution and wide FOV,infrared optical systems often adopt complex optical lens groups,which will increase the size and weight of the optical system.In this paper,a strategy based on wavefront coding(WFC)is proposed to design a compact wide-FOV infrared imager.A cubic phase mask is inserted into the pupil plane of the infrared imager to correct the aberration.The simulated results show that,the WFC infrared imager has good imaging quality in a wide FOV of±16°.In addition,the WFC infrared imager achieves compactness with its 40 mm×40 mm×40 mm size.A fast focal ratio of 1 combined with an entrance pupil diameter of 25 mm ensures brightness.This work is of significance for designing a compact wide-FOV infrared imager.展开更多
基金Project supported by the National Natural Science Foundation of China(Grant Nos.12265004 and 12534020)the Natural Science Foundation of Jiangxi Province(Grant No.20242BAB26010)+3 种基金the National Natural Science Foundation of China(Grant Nos.12565001 and 12205054)the Natural Science Foundation of Jiangxi Province(Grant No.20252BAC200163)the National Natural Science Foundation of China(Grant No.12365003)the Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control of China(Grant No.2024SSY03161)。
摘要We study the performance of high-dimensional superdense coding(HD-SDC)over an amplitude damping(AD)channel with memory and propose a protocol that leverages partial measurement and its reversal to enhance the channel capacity.By considering a two-qutrit system,we model the memory AD noise using a convex mixture of memoryless and perfectly memory AD channels.We demonstrate that the memory effect alone can mitigate the decay of the SDC capacity under noise.More significantly,we show that the application of partial measurement before the channel and its reversal after the channel can not only recover the capacity degraded by noise but,for certain non-maximally entangled initial states,even amplify it beyond the initial capacity.This amplification effect is governed by three key factors:the ground-state probability in the initial entangled state,the memory strength,and the partial measurement strength.Our results provide a practical strategy for enhancing quantum communication protocols in realistic noisy environments and highlight the synergistic benefits of memory noise and measurement-based control.
摘要Meteor burst channels(MBC)exhibit significant randomness and non-stationarity,limiting the effectiveness of traditional fixed-rate transmission strategies.This paper proposes an adaptive coding and modulation(ACM)scheme based on real-time channel state perception using enhanced Turbo codes.By leveraging the interleaving structure of Turbo codes to mitigate channel fading and incorporating multi-rate adaptation,the scheme dynamically adjusts symbol rate,modulation,and coding methods to improve spectral efficiency.Meanwhile,a joint evaluation mechanism integrating physical-layer signal to noise ratio(SNR)estimation and media access control(MAC)-layer frame error rate(FER)statistics is introduced to achieve dynamic optimization of switching thresholds in multipath channels.Simulation and experimental results demonstrate that the proposed scheme significantly enhances system adaptability to MBC,and increases data transmission success rates,offering a more efficient and reliable solution for MBC systems.
基金funded by the Gansu Science and Technology Major Project(No.22ZD6NA009)National Key Research and Development Program of China(No.2022YFD1602103)the Gansu Science and Technology Major Project(No.23ZDNA006).
摘要Tuber dormancy and sprouting are significant for potato cultivation,storage,and processing.Although the substantial role of microRNAs(miRNAs)in some biological processes has been recognized,the critical role of miRNA in breaking potato tuber dormancy is not well understood to date.In this investigation,we expand research on miRNA-mediated gene regulation in tuber dormancy release.In this work,204 known and 192 novel miRNAs were identified.One hundred thirty-six differentially expressed miRNAs(DE-miRNAs)were also screened out,of which 56 DE-miRNAs were regulated by temperature during tuber dormancy release.Additionally,degradome sequencing revealed that 821 target genes for 202 miRNAs were discovered.Among them,63 target genes and 48 miRNAs were predicted to be involved in plant hormone signaling pathways.This study used degradome sequencing,tobacco cotransformation system,and β-glucuronidase(GUS)staining technology to confirm that stu-miR319c can target StTCP26 and StTCP27 and effectively suppress their expression.The transgenic approach exhibited that stu-miR319c overexpressed tubers sprouted in advance,while silent expression of stu-miR319c showed delayed sprouting.Treatment of wild-type tubers with exogenous MeJA revealed that 1 mg/L MeJA significantly broke dormancy and enhanced potato sprouting ability.Furthermore,transgenic tubers revealed variance in jasmonic acid(JA)content and relative expression of genes associated with the JA synthesis pathway,including StAOC,StLOX2,and StLOX4,suggesting that the miR319c may participate in the JA pathway to regulate tuber dormancy release.In summary,our research offers evidence that miRNA regulates potato dormancy release and supports the idea that stu-miR319c is a unique epigenetic regulator for dormancy-sprouting transition in potatoes.
基金supported by the National Natural Science Foundation of China(NSFC)with project ID 62071498the Guangdong National Science Foundation(GDNSF)with project ID 2024A1515010213.
摘要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.
基金supported by grants from the National Natural Science Foundation of China(grant 31972321)the Earmarked Fund for China Agriculture Research System(grant CARS-28).
摘要Pear ring rot disease(Botryosphaeria dothidea)is a significant threat to the healthy development of the pear industry.Recent research has identified the functional role of long non-coding RNAs(lncRNAs)in various biological processes of plants.The role of lncRNAs in the pear defense response remains unknown.In this study,transcriptome sequencing was used to analyze lncRNAs in pear stem infected with B.dothidea.It identified 3555 lncRNAs,of which 286 were significantly differentially expressed.GO and KEGG analyses showed that cis-and trans-regulated target genes were enriched in multiple disease resistance-related pathways.More specifically,MSTRG.32189,predicted as an endogenous target mimic(eTM),was significantly down-regulated in response to B.dothidea infection,and was confirmed to inhibit the cleavage effect of PcmiR399b on PcUBC24.OE-MSTRG.32189 transgenic Arabidopsis exhibited lower Pi content and weaker disease resistance to Botrytis cinerea compared with wild type.In pear callus,overexpression of MSTRG.32189 negatively regulated PcmiR399b,which decreased Pi content and reduced disease resistance.Overexpressing PcmiR399b in pear callus exhibited the opposite effects compared with OE-MSTRG.32189.Overexpression and knockout of PcUBC24 further clarified that PcUBC24 negatively regulates Pi content and disease resistance to B.dothidea infection.Furthermore,the ROS levels and expressions of disease resistance pathway-related genes were regulated by the MSTRG.32189-PcmiR399b-PcUBC24 module in transgenic pear callus,which contributed to disease resistance.Overall,our results demonstrated the role of lncRNAs in the pear defense response,revealing that the MSTRG.32189-PcmiR399b-PcUBC24 module regulates phosphate accumulation and disease resistance to B.dothidea infection in pear.
摘要In the article“Silencing of the long non-coding RNA LINC00265 triggers autophagy and apoptosis in lung cancer by reducing protein stability of SIN3A oncogene”(Oncology Research.2024,Vol.32,No.7,pp.1185–1195.doi:10.32604/or.2023.030771,http://gffzz9e48629005df441asu55u0kv55nfx6qu9.ffgz.tsg.suse.edu.cn/or/v32n7/57163),an inadvertent error occurred during the compilation of Fig.3H.This needed corrections to ensure the accuracy and integrity of the data presented.
基金supported by the National Natural Science Foundation of China(Nos.U21A20447 and 61971079)。
摘要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.
基金supported by the Joint Fund of the Natural Science Foundation of Shandong Province,China(Grant Nos.ZR2022LLZ012 and ZR2021LLZ001)the Key Research and Development Program of Shandong Province,China(Grant No.2023CXGC010901)。
摘要Quantum error correction technology is based on the principle of redundant encoding,encoding logical quantum information into multiple physical qubits to provide important support for the stable operation of quantum computers.To address the issues of low decoding accuracy and limited feature extraction in quantum error correction,this paper proposes a toric code decoder based on a syndrome-preliminary error fusion module(SPEFM)and a ResNet architecture.This decoder takes full advantage of the correlations between X and Z errors.In the SPEFM,the syndrome and preliminary error predictions are deeply fused,while a unidirectional Swin transformer architecture is incorporated to extract global error features from the syndrome data,signiffiificantly improving both decoding accuracy and computational efffiificiency.In addition,this paper further extracts local error features from the fused features using the deep residual structure of ResNet,enhancing the decoder's ability to capture quantum error patterns.Experimental results show that the decoder is applicable to different code distances(d=4,6,8,10)under the depolarizing noise model.Its bit error rate is lower than that of the minimum weight perfect matching(MWPM)algorithm,and its logical error rate is lower than both the MWPM algorithm and the ResNet18 decoder.Furthermore,the decoding threshold is increased to 0.163,representing a 3.82%improvement over the MWPM algorithm threshold of 0.157.
基金supported by the Fundamental Research Funds for the Central Universities(WK3490000006).
摘要Lossy image coding is the art of computing that is principally bounded by the image’s rate-distortion function.This bound,though never accurately characterized,has been approached practically via deep learning technologies in recent years.Indeed,learned image coding schemes allow direct optimization of the joint rate-distortion cost,thereby outperforming the handcrafted image coding schemes by a large margin.Still,it is observed that there is room for further improvement in the rate-distortion performance of learned image coding.In this article,we identify the gap between the ideal rate-distortion function forecasted by Shannon’s information theory and the empirical rate-distortion function achieved by the state-of-the-art learned image coding schemes,revealing that the gap is incurred by five different effects:modeling effect,approximation effect,amortization effect,digitization effect,and asymptotic effect.We design simulations and experiments to quantitatively evaluate the last three effects,which demonstrates the high potential of future lossy image coding technologies.
基金supported by the Natural Science Foundation of Shandong Province,China(Grant No.ZR2021MF049)the Joint Fund of Natural Science Foundation of Shandong Province,China(Grant Nos.ZR2022LL.Z012 and ZR2021LLZ001)the Key Research and Development Program of Shandong Province,China(Grant No.2023CXGC010901).
摘要Quantum error correction is a technique that enhances a system’s ability to combat noise by encoding logical information into additional quantum bits,which plays a key role in building practical quantum computers.The XZZX surface code,with only one stabilizer generator on each face,demonstrates significant application potential under biased noise.However,the existing minimum weight perfect matching(MWPM)algorithm has high computational complexity and lacks flexibility in large-scale systems.Therefore,this paper proposes a decoding method that combines graph neural networks(GNN)with multi-classifiers,the syndrome is transformed into an undirected graph,and the features are aggregated by convolutional layers,providing a more efficient and accurate decoding strategy.In the experiments,we evaluated the performance of the XZZX code under different biased noise conditions(bias=1,20,200)and different code distances(d=3,5,7,9,11).The experimental results show that under low bias noise(bias=1),the GNN decoder achieves a threshold of 0.18386,an improvement of approximately 19.12%compared to the MWPM decoder.Under high bias noise(bias=200),the GNN decoder reaches a threshold of 0.40542,improving by approximately 20.76%,overcoming the limitations of the conventional decoder.They demonstrate that the GNN decoding method exhibits superior performance and has broad application potential in the error correction of XZZX code.
基金supported by National Natural Science Foundation of China(NSFC)under Grant 62571455,Grant 62371401,and Grant 62331002supported by the SingaporeMinistry of Education Academic Research Fund Tier 2 T2EP50221-0036.
摘要Implementing check node(CN)update based on the minimum value(MV)and second MV of incoming message magnitudes is crucial for Min-Sum Algorithms(MSAs).In the category of bit-serial implementations,existing schemes suffer from decoding performance degradation,large hardware areas,and/or long latency.In this paper,we propose two efficient CN update functions based on the MV and an approximate second MV,and design bit-serial architectures to implement them.Simulation results show that our functions exhibit the minimum decoding performance degradation compared to the existing functions using approximate second MVs.Moreover,the applicationspecific integrated circuits(ASIC)implementation results demonstrate the advantages of our architectures in terms of area,latency,etc.
基金supported by the KGJ Basic Research Fund(JCKY2023110C080)the National Natural Science Foundation of China(62322306,62173057,62033006)+2 种基金Aviation Science Foundation Project(2022Z018063001)the Argentinean Agency for Scientific and Technological Promotion(PICT-2021-I-A-00730)the National Foreign Expert Individual Project(H20240983).
摘要This article investigates the distributed recursive filtering problem for discrete-time stochastic cyber–physical systems.A particular feature of our work is that we consider systems in which the state is constrained by saturation.Measurements are transmitted to nodes of a sensor network over unreliable wireless channels.We propose a linear coding mechanism,together with a distributed method for obtaining a state estimate at each node.These designs aim to minimize the state estimation error covariance.In addition,we derive a bound on this covariance,and accommodate the design parameters to minimize this bound.The resulting design depends on the packet loss probabilities of the wireless channels.This permits applying the proposed scheme to systems in which communications suffer from denial-of-service attacks,as such attacks typically affect those probabilities.Finally,we present a numerical example illustrating this application.
摘要In recent years,large language models(LLMs)have seen growing application in code understanding and security analysis.However,their performance relies heavily on prompt context quality and engineering design,with unstable vulnerability detection and high false positive rates remaining key bottlenecks to reliable adoption.This paper systematically reviews advances in prompt engineering and context optimization across four core areas and proposes LARA(LLM-Augmented Reachability Analysis),a neural-symbolic framework leveraging code property graphs(CPGs),which uses a static analysis engine to extract source-to-sink data flow paths,integrates systematic prompt engineering to create context-aware prompts,and invokes LLMs for path risk scoring and reasoning.The framework forms a closed-loop process of path identification,risk assessment,and manual verification.Experimental validation on the Log4Shell vulnerability shows LARA accurately identifies core exploit paths and outperforms traditional static signature methods in covering unknown/variant vulnerabilities without explicit dangerous functions,with notable improvements in contextual understanding and detection accuracy.Our study identifies three core research trends:systematic context engineering,task-adaptive prompt strategies,and prompt-analysis closed loops in code security.However,LLMs still face challenges like long-text generation logic breaks,cross-model prompt transfer degradation,and code security false positive control.Future work should focus on long-context understanding/generation co-optimization,code-security-oriented fine-tuning of open-source LLMs,and deep CPG-prompt engineering integration to advance LLMs’practical use in code security.
基金supported by the 2025 Start-up Research Fund(Grant No.JIH2333002Y)from Fudan Universitysupported in part by the Fundamental Research Funds for the Central Universities+3 种基金the Yangtze River Delta Science and Technology Innovation Community Joint Research(Basic Research)Project under Grant BK20244006111 project BP0719010STCSM 22DZ2229005supported by the National Natural Science Foundation of China Grant No.62595745
摘要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).
摘要Compact size,high brightness,and wide field of view(FOV)are key requirements for long-wave infrared imagers used in military surveillance or night navigation.However,to meet the imaging requirements of high resolution and wide FOV,infrared optical systems often adopt complex optical lens groups,which will increase the size and weight of the optical system.In this paper,a strategy based on wavefront coding(WFC)is proposed to design a compact wide-FOV infrared imager.A cubic phase mask is inserted into the pupil plane of the infrared imager to correct the aberration.The simulated results show that,the WFC infrared imager has good imaging quality in a wide FOV of±16°.In addition,the WFC infrared imager achieves compactness with its 40 mm×40 mm×40 mm size.A fast focal ratio of 1 combined with an entrance pupil diameter of 25 mm ensures brightness.This work is of significance for designing a compact wide-FOV infrared imager.