1088 results about "Quantum state" patented technology

The invention discloses a data annotation method and system of a collaborative computing architecture based on quantum computing, and belongs to the field of data annotation. The method comprises the steps that S1, multi-modal data are input and preprocessed; s2, extracting features of each mode after preprocessing; s3, coding the features of each mode into a quantum state, and carrying out mode fusion; s4, performing label reasoning on the quantum state after modal fusion, and performing label constraint optimization by using a quantum approximate optimization algorithm; s5, based on a quantum Bayesian network or an approximate causal graph generation method, generating explanation according to a modal contribution causal path, and deducing marginal contribution of each modal to final label prediction by using a joint probability measurement result; and S6, outputting a labeling result. According to the method, a quantum-classical cooperative computing architecture is designed, the efficiency and accuracy of multi-modal data labeling are remarkably improved, the interpretability, the distributed processing capacity and the high-dimensional feature modeling capacity of the system are enhanced, and a brand new solution thought is provided for development of the multi-modal labeling technology.

The invention discloses a multi-mode interaction method for an accompanying robot, and relates to the technical field of robot interaction.The multi-mode interaction method comprises the steps that voice, visual and tactile signals are converted into quantum states through multi-mode quantum state coding, emotion weights are dynamically fused, and unified quantum representation is constructed; the dynamic quantum decision engine analyzes environmental noise and user emotion intensity in real time based on a quantum measurement theory, generates an adaptive strategy through dynamic modal weight distribution, and solves a multi-modal instruction conflict; holographic reinforcement learning optimization is combined with quantum acceleration calculation and classical reinforcement learning, the reward function weight is dynamically adjusted, cross-modal knowledge migration is achieved through the quantum tunneling effect, and the system strategy is continuously optimized. The problems that a traditional multi-mode interaction system is rigid in mode switching, high in emotion recognition error rate, lack of self-adaptive optimization of a feedback strategy and the like are solved, and the interaction efficiency and the user experience are improved.

The invention relates to the technical field of autonomous navigation and robot environment perception, and discloses a multi-source sensor fused adaptive navigation system, which comprises a multi-source sensor space-time synchronization module, a quantum particle filtering positioning estimation module, a space-time element learning controller module, a cross-modal quantum fusion module and an adaptive navigation control module. Multi-source data space-time alignment is realized through Lie group SE (3) calibration and dynamic time warping; the positioning robustness of particle filtering is improved based on quantum state coding and annealing optimization; dynamically distributing a fusion weight and injecting a physical constraint by utilizing a meta-learning network; feature level fusion of laser radar, vision and inertial data is realized by means of a quantum entanglement mechanism; and constructing closed-loop adaptive navigation by combining model predictive control and quantum purity trigger feedback. According to the method, the navigation reliability problem caused by misalignment of multi-modal sensor data fusion, divergence of state estimation and insufficient cross-modal relevance in a dynamic environment is solved.

The invention relates to the technical field of quantum communication security, and discloses a quantum key distribution secure communication system based on a quantum mechanics principle. The system comprises a quantum state preparation unit which controls a quantum emission device to output a quantum state sequence containing a preset polarization angle and a phase modulation photon group; a quantum channel feature extraction unit captures channel environment interference parameters and constructs a photon polarization distribution matrix; a quantum communication security evaluation unit receives the matrix, and calculates a channel security coefficient threshold through a quantum bit error rate analyzer; the quantum key dynamic optimization unit generates an optimized key segmentation strategy in combination with a security coefficient threshold and a historical key negotiation record; the quantum key rotation control unit switches quantum state modulation parameters according to a segmentation strategy and a time window; and the quantum node synchronization management unit monitors node clock offset and injects a calibration signal to realize key distribution time slot alignment. The system can dynamically cope with environmental interference, and improves the security and adaptability of quantum key distribution.

The invention provides a molecular dynamics quantum variation simulation method and device.The molecular dynamics quantum variation simulation method comprises the steps that an initial quantum state of a target molecular system is measured to obtain a position basis vector set, then the position basis vector set and momentum basis vectors of the initial quantum state are used for constructing a parameterized quantum circuit, and the parameterized quantum circuit is obtained; and iteratively updating the parameters in the parameterized quantum circuit until the target evolution time is reached, thereby obtaining the final quantum state of the target molecular system. According to the method, a large-scale molecular simulation problem can be solved on a shallow quantum circuit, it is guaranteed that the circuit depth is only related to the Hamiltonian of a system and does not increase along with simulation time, and due to the fact that the depth of the quantum circuit is not related to evolution time, the quantum circuit depth can be improved. The method provided by the invention can be applied to simulating the processes of structural evolution, phase change and the like of the material under a long time scale.

The invention discloses a computer network security situation awareness system and method, and relates to the technical field of computer network security, and the method comprises the steps: generating a dynamic gene pool through an antigen-antibody matching algorithm based on an initial quantum trust vector, and building a mapping relation table of an antigen feature vector and an antibody defense strategy; triggering a quantum alarm according to an entanglement entropy mutation event in the real-time quantum state flow data, matching a biological antibody strategy corresponding to a current network attack feature based on a mapping relation table, and fusing the quantum alarm and the biological alarm to generate an attack path topological graph; the network security situation is perceived by analyzing the quantum state change of the abnormal node ID and combining an attack path topological graph and a dynamic gene pool. Quantum entanglement pairs are distributed to network nodes through the quantum key distribution center, and initial quantum trust vectors are generated, so that the unknown attack resisting capability of the network is remarkably improved, and efficient and accurate network security situation awareness is realized.

The invention discloses an image classification method based on an extensible quantum convolutional neural network, and relates to the technical field of image classification, and the method comprises the steps: carrying out the preprocessing of to-be-classified image data, and then carrying out the slicing processing; converting the slice data into quantum state information through angle coding; a quantum system is constructed, the quantum system comprises a quantum feature extraction part and a quantum classification measurement part, the quantum feature extraction part comprises a quantum variational circuit model with a quantum convolutional layer, and the model can perform feature extraction on quantum state information by using alternating single quantum bit gates and double quantum bit gates; training a quantum variational circuit model by using a part of quantum state information; and inputting the other part of quantum state information into the trained quantum variational circuit model, and measuring the output quantum state of the quantum variational circuit model. According to the method, the problems that traditional deep learning is high in computing resource demand, limited in quantum computer scale and the like are solved, and a novel and practical method is provided for efficient image classification.

The invention relates to the technical field of geological disaster monitoring, in particular to a geological disaster monitoring method and system based on a quantum coupling effect. The method comprises the following steps: acquiring geological environment parameters of a target monitoring area; laying a quantum sensor network; initializing a quantum bit; the tunneling effect of quantum bits is excited by using microwave signals; obtaining quantum state data by using a quantum measurement technology; analyzing a coupling relationship among the geological environment parameters to realize geological disaster risk early warning; the causes and development tracks of geological disasters are traced, and monitoring and early warning strategies are optimized. Through a quantum sensor network and a multi-field coupling analysis model, ultrahigh-precision monitoring of stress, displacement, temperature and water level parameters is realized by using a quantum entanglement state, topology protection and time reversal technology, a disaster chain reaction path is revealed, cause and risk evolution are dynamically traced, the early warning reliability is remarkably improved, and the early warning effect is improved. And the monitoring mode is promoted to transition from passive response to active intervention.

The invention discloses a power monitoring system host security micro-isolation method and system, particularly relates to the technical field of power terminal security isolation, and aims to monitor electromagnetic interference and quantum state changes in real time and improve the stability and security of a quantum key distribution process in combination with quantum error correction and dynamic prediction technologies. A high-confidentiality encryption key is generated through the randomness of a quantum key generator, the interference level is monitored in real time in a high electromagnetic interference environment, a security protocol is automatically triggered, and parameters of a quantum system are adjusted through an active feedback mechanism; a dynamic Bayesian network is utilized to predict entanglement attenuation of a quantum state, an information exchange behavior of a quantum system is analyzed through quantum entanglement entropy, the attenuation degree and interaction intensity of the quantum state are comprehensively analyzed, and a dynamic micro-isolation strategy is implemented according to an analysis result; the reliability of quantum key distribution is improved, and the anti-interference capability of a power monitoring system in a complex electromagnetic environment is enhanced.

The present technology pertains to systems and methods for one-way authentication of quantum channels. A transmitter generates an entangled quantum state comprising a first state and a second state, modulates the second state according to a clock-synchronized pattern, and transmits it through a quantum channel to a receiver. The first state is retained and measured at the transmitter to extract quantum-state information. Authentication is performed based on this information, without requiring feedback from the receiver. The quantum-state information may be derived using quadrature measurements, Gaussian tomography, or other statistical analyses to detect whether the second state underwent irreversible interactions such as eavesdropping or decoherence. The system enables secure unidirectional quantum authentication, reduces protocol complexity, and supports real-time anomaly detection. It is compatible with continuous-variable quantum states, quantum key distribution (QKD), and scalable communication architectures.

The application discloses a ciphertext decryption method and related equipment applied to ciphertext encrypted according to an RSA algorithm, and the method comprises the following steps: acquiring a large number in ciphertext and a public key of the ciphertext; selecting a number smaller than the large number as a base of a discrete logarithm problem, selecting 1 as a modulus power operation result corresponding to the base, and converting the base and the modulus power operation result into an initial quantum state; inputting the initial quantum state into a quantum computing module for solving the discrete logarithm problem to obtain a first target quantum state in which a solution result of the discrete logarithm problem is stored; extracting the solution result from the first target quantum state, and calculating a private key of the ciphertext based on the solution result; and decrypting the ciphertext based on the private key to obtain plaintext of the ciphertext. Through the technical scheme, the private key can be recovered according to the disclosed information in the case that the private key is not disclosed, and then the ciphertext is decrypted, so that the related technical blank is filled.

The invention discloses a seal removing and document repairing method based on quantum state collaborative regulation and control, and relates to the field of document image processing and quantum computing cross technology, the method comprises the following steps: obtaining to-be-processed information, and carrying out quantum-classical feature collaborative preparation; the character stroke continuity is guaranteed through quantum entangled state modeling and entanglement degree constraint iteration, texture decoupling is achieved through quantum wavelet transform and Gram-Schmidt orthogonalization, and adaptive filling is conducted in combination with a quantum generative adversarial network; dynamic quantum phase adjustment is used for counteracting superposition interference of stamps with different transparency, and quantum neural network noise reduction and multi-scale quantum Fourier sharpening are used for optimizing image quality; checking the repair result, if the repair result does not reach the standard, returning to the edge sharpening link to perform decoupling and filling the edge sharpening link to readjust the parameter; and for special scenes such as inclination, multi-color overprinting and ultra-thin frames, quantum rotation correction, color channel separation and boundary annihilation operator processing are used, finally, high-precision, high-naturalness and high-adaptability restoration of seal removal is achieved, and high fidelity of results is guaranteed.

The invention discloses an image classification method based on a multi-quantum filtering convolutional neural network, and the method comprises the steps: compressing a pixel value of an obtained image, and coding the compressed pixel value into a corresponding quantum state through a quantum revolving door; and inputting the quantum state into a quantum convolutional neural network to obtain an image label predicted value, training the quantum convolutional neural network by using the predicted value and a loss function to obtain a trained quantum convolutional neural network, the quantum convolutional neural network including a quantum convolutional layer, a quantum measurement attention layer, a pooling layer and a full connection layer, the quantum convolution layer comprises G quantum filters; and inputting an image needing to be detected into the trained quantum convolutional neural network to complete image classification. According to the method, the multi-topology quantum convolutional neural network is combined with a quantum bit measurement attention mechanism, so that the problem of great loss of entanglement information in a measurement stage is effectively solved, the method can better adapt to a quantum calculation environment, and the advantages of quantum calculation are exerted.

The invention discloses a quantum approximate optimization method and device based on easy Hamiltonian, and belongs to the technical field of quantum computation.The quantum approximate optimization method comprises the steps that a binary constraint optimization problem in intelligent decision making and resource configuration is converted into a linear constraint equation; preparing the initial state of the quantum circuit into an initial state corresponding to the special solution of the linear constraint equation; a variable component sub-circuit composed of a target Hamiltonian and an easy-to-drive Hamiltonian is designed, so that quantum state evolution is strictly limited in a feasible sub-space; a final quantum state is simulated and measured through Hamiltonian to obtain a candidate solution, and parameters are iteratively adjusted by using a classical optimization algorithm to approach an optimal solution. According to the method, convergence is accelerated through special solution initialization, the number of iterations is reduced, the evolutionary process is guaranteed to always meet constraint conditions through peaceability, and the solving efficiency and the success rate are remarkably improved.

Embodiments of a present disclosure relate to communication systems and more particularly to a system and a method for a point-to-point decoy differential phase shift (DPS) Quantum Key Distribution (QKD). The system includes a source QKD device and a destination QKD device. The source QKD device generates and transmits one or more quantum states comprising a series of N coherent pulses with one or more phases to the destination QKD device. The destination QKD device receives, and records time information and corresponding detector units associated with each photon detection event in the received quantum states. The source and destination QKD devices use decoy states to detect and prevent attacks, such as Photon-Number-Splitting (PNS) attacks. The system allows for the secure generation of a secret key between the source and destination QKD devices.

The invention discloses a method and a model for generating a quantum state set, and the method comprises the following steps: adding depolarization noise to any target quantum state through a non-unitary forward process, and converting the target quantum state into a completely mixed state; and de-noising the complete mixed state by using a trainable reverse process, and recovering the complete mixed state to the target quantum state. According to the method, more stable convergence performance is achieved based on the convex optimization method, the pure state and the mixed state can be effectively generated, excellent fidelity is achieved, and the huge potential in the aspect of coping with complex quantum generation tasks is shown.

The invention relates to the technical field of power system optimization scheduling and quantum computing, in particular to a power transmission section quantum search method, device and system based on topology specific cut set search. The key power transmission section searching method based on quantum approximate optimization comprises the following steps: firstly, obtaining a power grid model and a corresponding quantum line model by combining power grid operation data, and performing quantum evolution and measurement on the quantum line model to obtain a quantum state result of a power transmission section; setting a starting value en0 and a final value en2 of a target cut value and a cut value margin em; enabling en1 to traverse a numerical interval [en2, en0] at a set interval, solving a quantum state result for each en1, and obtaining an expected cut value and a corresponding section result; and screening a section result meeting the screening condition as an optimal power transmission section and outputting the optimal power transmission section. According to the method, improvement is carried out on the basis of a quantum approximate optimization algorithm, a multi-stage topology specific cut set search optimization strategy is introduced, the optimal solution of the quantum loss function is approached stage by stage, and the accuracy of a quantum topology search result is improved.

The invention relates to the technical field of quantum computing, and provides a polariton quantum computing simulation method and related device.The method comprises the steps that parameterized quantum circuits are generated based on micromodels used for describing polaritons for all to-be-computed excitation states respectively, and the parameterized quantum circuits are generated based on initial Hamiltonian of polaritons in a ground state; the target Hamiltonian amount of the polariton in the current excitation state is obtained, then the value of each parameter is adjusted at least once, and the target energy of the corresponding excitation state is obtained. In the primary adjustment process, parameter updating is carried out on the quantum circuit, a reference quantum state of the corresponding excitation state is obtained by utilizing the updated quantum circuit, reference energy of the corresponding excitation state is obtained based on the reference quantum state and in combination with the target Hamiltonian, and then when a set convergence condition is met, the target Hamiltonian is obtained. And taking the reference energy as target energy of the corresponding excited state. The polaritons are simulated through the quantum computer, and the simulation efficiency is improved.

The invention relates to a training method and device of a quantum generative adversarial network, equipment and a storage medium. The method comprises the steps that the Rayleigh divergence relation between real quantum state data and forged quantum state data output by a generator is constructed, a first loss function is constructed based on the Rayleigh divergence relation, and the first loss function is used for enabling the difference between the forged quantum state data output by the generator and the real quantum state data to be minimum; constructing a second loss function of the discriminator, wherein the second loss function is used for maximizing the probability that the discriminator outputs a false first discrimination result and a true second discrimination result; and alternately executing the first training of the generator and the second training of the discriminator until a training cut-off condition is reached, and completing the training of the quantum generative adversarial network. By adopting the method, the quantum generative adversarial network can be prevented from falling into a barren plateau phenomenon, so that the training effect of the quantum generative adversarial network is improved.

The invention discloses a quantum measurement and control data processing method and device, and belongs to the technical field of data processing.The quantum measurement and control data processing method and device comprises the following specific steps that firstly, wavelet packet decomposition is conducted on an original measurement signal through a quantum noise feature extraction module, and a quantum noise feature extraction module is obtained; carrying out matched filtering with a preset quantum noise fingerprint database; and 2, performing quantum state reconstruction on the filtered signal by adopting a compressed sensing algorithm, wherein a measurement matrix is dynamically generated according to the Hamiltonian of a quantum system. Through combination of wavelet packet decomposition (time-frequency locality) and a dynamic measurement matrix (Hamiltonian relevance), compared with a traditional Fourier method, quantum state reconstruction errors are greatly reduced, time sequence dependence is captured through an LSTM network, physical legality is guaranteed through a quantum main equation, control parameter speed is optimized, 2ns-level time sequence precision is achieved through an FPGA segmentation correction algorithm, and the method has the advantages of being simple in structure, convenient to operate and high in practicability. And the real-time requirement of the quantum error correction code is met.

The invention discloses a digital archive multi-protection-based data security transmission method, and relates to the field of data security transmission, and the method comprises the steps: generating a random seed in real time based on a quantum state, carrying out the iterative blocking of the quantum seed through combining with Logistic chaotic mapping, outputting variable-length secret key fragmentation, carrying out the symmetric encryption of archive data through employing a lightweight SM4 algorithm, and carrying out the encryption of the archive data. Obtaining encrypted data of the fragments; a behavior anomaly probability is calculated through a hidden Markov model, a risk score is calculated through a safety interval, and when a score value exceeds a safety threshold value, a grading response is triggered; key fragments are generated by adopting n nodes, at least k fragments can reconstruct signatures to monitor the node state of the block chain, and when the node anomaly rate exceeds a node threshold value, a three-layer architecture is automatically switched. The method has the advantages that an active multi-protection system is constructed through a quantum dynamic key, risk-driven hierarchical response and block chain disaster recovery switching, and quantum attack resistance and dynamic adaptation to transmission of network risks are realized.

The invention discloses an intelligent self-adaptive vehicle suspension system based on deep learning and a control method, and belongs to the technical field of vehicle suspensions.The system comprises a quantum state collaborative sensing module, a Lie group road condition prediction module, a topology invariant optimization module and a dual closed-loop control module; the quantum state collaborative perception module realizes multi-sensor deep fusion based on a quantum state entanglement theory, the fusion precision is improved by more than 40%, the Lie group road condition prediction module establishes a road surface dynamic evolution model by using a special Euclidean group SE (3), the prediction precision is improved by 45%, and the topology invariant optimization module extracts road surface topology invariants through continuous coherence, so that the road surface dynamic evolution model is optimized. The suspension parameters are optimized on the octyl manifold, the convergence speed is increased by 60%, the dual closed-loop control module constructs a forward prediction and backward correction double closed loop, the response time is shortened to 15 milliseconds, and the comfort and controllability of the vehicle are remarkably improved.

A method for secure quantum communication includes generating a photon. The method includes modulating at least two quantum state dimensions selected from the group consisting of orbital angular momentum (OAM), polarization, and phase of the photon to form a composite quantum state. The method includes directing the photon to an emission point on a helical structure having a defined spatial coordinate corresponding to classical data. The method includes emitting the photon from the emission point into a quantum channel. The composite quantum state and spatial coordinate together encode secure information.

The invention relates to an integer decomposition method based on a quantum approximate optimization algorithm, and belongs to the technical field of password decoding. The method comprises the following steps: constructing clauses to describe an optimization algorithm for decomposing an RSA key M, wherein M is an integer; constructing a parameterized quantum circuit based on the clauses; solving parameters of the parameterized quantum circuit based on a quantum approximate optimization algorithm, and measuring a final quantum state; the quantum state measurement result is mapped into two factors P and Q of an RSA key M, and P and Q are used for calculating private keys of an RSA algorithm. According to the method, the key integer decomposition optimization problem is described by adopting the parameterized quantum gate circuit, and the method is easy to implement and expand on a general quantum computer.

The invention relates to the technical field of power equipment abnormity monitoring, in particular to a power equipment fingerprint coding method. According to the method, quantum sensors are deployed at key parts of equipment to collect electric power parameters, and quantum-state electric power fingerprint data are generated, encrypted and stored. A block chain is utilized to construct a distributed account book to record equipment information, and dynamic calibration is realized through an intelligent contract. And feature extraction and modeling are carried out by means of quantum calculation, and an equipment fingerprint coding model is constructed. The model is combined with a quantum state matching algorithm to monitor the equipment state, and early warning and information broadcasting are carried out in time when abnormity occurs. And calling quantum computing resources through a block chain smart contract to position abnormity, judging types, generating processing measures, and automatically distributing the processing measures to execution nodes. The method realizes comprehensive monitoring and efficient fault diagnosis and processing of power equipment, guarantees data safety, improves the intelligent level of equipment management, reduces the operation and maintenance cost, and provides powerful support for stable and reliable operation of a power system.

This document describes a system and method that utilizes principles of quantum mechanics to detect and mitigate adversarial artificial intelligence (AI) attacks on AI agents. The disclosed system first retrieves a baseline quantum state lattice matrix derived from ground truth inputs and ground truth outputs, where each output includes multiple inferred outcomes with probability amplitudes. Output quantum states are then generated from acquired data and quantum states are then generated for each row in the baseline matrix. A quantum-based anomaly classification is then performed based on this generated data to detect adversarial activity occurring at the AI agent.

The present subject relates to a method for proving a statement describing a functionality of an electronic circuit, using a quantum computer and a proof assistant.The procedure comprises: encoding a current proof state into a vector of real numbers of a fixed length, where the current proof state defines a task to prove at least part of the statement; encoding the vector into a quantum state of a quantum system of the quantum computer; using the quantum state as an input quantum state by a quantum machine learning model to provide an output quantum state, the measurement of which constitutes a proof step for the defined task; measuring the output quantum state, thereby obtaining the proof step for the defined task; providing the proof step to the proof assistant; and receiving a next proof state from the proof assistant in response to the provision of the proof step.

The invention discloses an optimizer design method and device using a quantum tunneling effect and a medium, and relates to the technical field of computer science and technology and quantum information. The method comprises the following steps: converting an optimization problem into a quantum state through mathematical modeling; iterative optimization of the quantum state is realized through a parameterized quantum circuit, and a quantum tunneling effect mechanism is introduced, so that a local optimal solution is jumped out; after each quantum state evolution, evaluating the quality of a current solution by observing a target function value; a self-adaptive multi-layer optimization strategy is introduced, and the learning rate of parameters is adjusted to gradually converge to a global optimal quantity, so that the capabilities of global search and local optimization are balanced; after the quantum circuit is optimized, an observation value is measured and extracted, and a globally optimal solution is determined according to the observation value. The quantum circuit and the tunneling mechanism are introduced into hardware design, the fast jumping function is achieved through the tunneling phenomenon, the optimization performance can be improved, and a more efficient solution is provided for hardware acceleration.

The present invention discloses a dynamic data encryption method integrating quantum state and chaotic system, which is implemented based on quantum key generated by QKD system. The QKD system includes N pairs of transmitting end and receiving end, N≥1, and the method includes the following steps: S1: preprocessing to obtain plaintext sequence; S2: introducing external disturbance signal to dynamically adjust the chaotic system and generate pseudo-random sequence; S3: obtaining key stream sequence; S4: XOR operation to obtain intermediate ciphertext; S5: generating quantum key, XOR operation to obtain final ciphertext. The present invention also discloses a dynamic data encryption device integrating quantum state and chaotic system, which is used to implement the method. The present invention realizes dynamic change of key by introducing external disturbance signal to dynamically adjust the chaotic system, solves the problem of static key being attacked, has high adaptability and flexibility, and combines quantum key for encryption at the same time, improves encryption strength based on the theoretical security of quantum state, and effectively improves the security of data encryption.

The invention provides a big data standardization method and system based on data integration, and the method comprises the steps: converting original data of different data sources into intermediate format data through a dynamic format adapter based on a data conversion mapping rule in combination with a reinforcement learning Schema algorithm; generating a quantum superposition state of each field in the intermediate format data and a node in the knowledge graph by using quantum state coding; solving an optimal mapping node of the field in the knowledge graph based on a quantum superposition state by utilizing a quantum annealing algorithm; the multi-source data is integrated through the dynamic format adapter and analyzed into the intermediate format data, the problem of data heterogeneity is solved, multiple mapping possibilities are reserved at the same time on the basis of the quantum superposition state, and the multi-source data are integrated through the dynamic format adapter and analyzed into the intermediate format data. And a global optimal solution is obtained through rapid parallel search of a quantum annealing algorithm, and the accuracy and efficiency of node standardized mapping are improved.