446 results about "Quantum entanglement" patented technology

The invention relates to the technical field of power distribution, in particular to a construction method and system for a digital twinborn model of a power distribution network. Establishing a digital element of the multi-physical field coupling characteristic of the power distribution network equipment based on quantum state space mapping, and simulating a collaborative degradation process of insulation aging and electromagnetic interference of the equipment; constructing a dynamic energy flow entanglement relationship among the nodes of the power distribution network according to the equipment degradation characteristic tensor; based on the quantum entanglement relationship between the device degradation feature tensor and the topology connection hypergraph, establishing a time-space coupling eigenmode of the device multi-physical field state and network energy flow distribution, and generating a quantum topology covariant tensor of a twin model; and carrying out dynamic fusion on real-time characteristic data and the quantum topology covariant tensor to form the digital twin model of the power distribution network. According to the method, the digital twin model capable of accurately reflecting the power distribution network equipment aging and energy transmission spatio-temporal evolution law is constructed, and a high-fidelity simulation platform is provided for power distribution network state evaluation, fault early warning and optimization regulation and control.

The invention discloses a carbon emission intelligent prediction method and system based on big data, and relates to the technical field of carbon emission monitoring, and the method comprises the steps: collecting carbon emission associated data, and generating a carbon emission feature tensor through quantum time-space coding and time-space grid alignment; constructing a dynamic causal graph network through causal entropy on the basis of the carbon emission feature tensor, and generating a causal weight matrix by combining anti-fact intervention and a Bayesian false-rejecting causal relationship; constructing a federated learning framework based on the causal weight matrix, deploying a federated aggregator at a cloud end to aggregate the encryption gradient of each edge node, and embedding a causal regular term in a federated loss function to perform joint training to generate a global carbon emission prediction model; according to the method, efficient fusion of industrial sensor data, satellite remote sensing data and other multi-source heterogeneous data is realized by utilizing quantum bit superposition state mapping and quantum entanglement state association technologies.

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 provides a power grid dispatching strategy optimization method and system, and the method comprises the steps: deploying a device based on a quantum entanglement technology between transformer substations, and collecting the state information of a power grid, and encrypting and transmitting the state information to a control center through a quantum network; a pulse neural network processor is used in a control center to extract spatial-temporal characteristics, and a quantum game theory model is used to generate an optimized scheduling strategy. Multi-modal verification data is collected, including visual deformation, abnormal sound monitoring, and operational resistance data. A genetic algorithm and deep reinforcement learning are utilized to optimize a decision model, and a dynamic weight distribution mechanism is included. And through a photon-quantum hybrid computing architecture execution model, a scheduling strategy is collaboratively optimized, and a result is fed back to a physical power grid. According to the method, the quantum technology and the spiking neural network are combined, new energy fluctuation is captured in real time, the multi-target weight is dynamically adjusted through the quantum game theory model, and the scheduling strategy robustness is improved. And a photon-quantum hybrid computing architecture is adopted, so that the feature extraction speed and the optimization efficiency are improved.

Systems, apparatuses, methods, and computer program products are disclosed for authentication of devices. An example method includes an authentication technique utilizing multiple authentication factors. The first authentication factor includes obtaining identical quantum entangled particles by a first device and a second device. The first and second device may read the quantum entangled particles to obtain identical bit sequences associated with the quantum entangled particles. The first and second device may utilize the bit sequences, along with a second factor, to authenticate a connection between the devices. The second factor may be, for example, a user password. The first device may send a request for authentication including one of the bit sequences and an encrypted version of the user's password. The second device may authenticate the first device using an identical copy of the bit sequence and previously obtained knowledge of the user's password.

A system and method for providing metered quantum entanglement-as-a-service are described. Entangled pair source nodes apply a unitary transformation to generated entangled quantum particles, such that the entangled quantum particles are transformed into a given one of a plurality of transformed states that are selected randomly or in a manner that is not readily apparent to customers. The transformed entangled quantum particles are distributed to recipients, such as customers. However, in order for the recipients to be able to use the received entangled particles to communicate shared information, such as a shared secret, the recipients require knowledge of the respective states of the entangled quantum particles resulting from the randomly selected transformations. The state information is metered out in response to receiving payment or other authorization indicating a recipient / customer has complied with terms of use of the quantum entanglement distribution service.

The invention discloses an image data annotation method and system, and relates to the technical field of computer vision, and the method comprises the steps: collecting image and text data, carrying out the updating through kernel density estimation and a kinetic equation, carrying out the optimization through employing Euler discretization in combination with CLP propagation and EA, carrying out the conversion through amplitude coding, and carrying out the construction through a quantum state circuit. The method comprises the following steps: carrying out calculation by using partial traces, generating topological weighted entanglement entropy through weighted fusion, carrying out updating based on an attention mechanism, generating potential conflict pairs, calculating priorities, generating final conflict pairs through a CNN model, outputting region features through a NeRF model, carrying out extraction by using a CLIP model, and carrying out updating through a loss function. According to the method, VAE is combined with GLP propagation and EA for optimization, the precision and consistency of labeling are improved, and through joint verification of quantum entanglement entropy calculation and the NeBF model, the efficiency and accuracy of labeling are improved.

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 a data processing method of an intelligent cold stamping production line integrated with an MES system, and the method comprises the steps: S1, installing at least one fisheye lens for detecting a stamping workpiece, collecting data, preprocessing the data, and building a three-dimensional scene, S2, carrying out the further processing of the preprocessed data in S1 through a flexible sensor network, the method comprises the following steps: S1, carrying out cross-modal fusion and feature extraction on data, S3, transmitting the data extracted in S2 to a digital twinborn body for dynamic updating and prediction, S4, carrying out deformation with the assistance of quantum entanglement and carrying out over-distance early warning, and S5, carrying out data storage and knowledge management. According to the data processing method of the intelligent cold stamping production line integrated with the MES system, a digital twinborn dynamic updating and predicting technology is utilized, quantum-classical hybrid simulation modeling and reinforcement learning algorithms are combined, precise prediction and optimization adjustment can be conducted on mold abrasion, process parameters and the like, the production efficiency and the product quality are improved, and the production cost is reduced. The production cost and the energy consumption are reduced.

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 an environmental monitoring system based on an optical sensor, and relates to the technical field of environmental monitoring, and the system comprises the following components: a quantum entanglement module, an optical sensor integration module, a quantum measurement and data processing module, and a data transmission and sharing module. By integrating the quantum entanglement module, the optical sensor integration module and the quantum measurement and data processing module, high-precision and real-time monitoring of environmental parameters is realized, the quantum entanglement technology provides measurement precision and anti-interference capability superior to those of a traditional optical sensor for the system, the accuracy and reliability of data are ensured, and meanwhile, the quantum entanglement technology can be used for monitoring the environmental parameters in real time. Due to the design of high sensitivity and wide dynamic range of the optical sensor, the system can stably work under various complex environment conditions, and the efficiency and accuracy of environment monitoring are effectively improved.

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 invention provides an unstructured data processing method and system, and relates to the technical field of natural language, and the method comprises the steps: carrying out the tensor decomposition of unstructured data, obtaining a standardized feature vector, constructing a self-organizing critical state feature learning network in an isolation calculation space, constructing a feature interaction network based on quantum entanglement perception, and carrying out the recognition of the feature interaction network. And establishing a hierarchical causal graph for feature screening, realizing semantic feature vector generation by adopting multi-scale feature fusion, and establishing an intelligent protection mechanism. The feature extraction accuracy can be effectively improved, the data processing reliability is enhanced, and the system operation efficiency is improved.

The invention discloses a quadruped inspection robot space positioning method and system based on gravity center sensing, and aims to construct a gravity center potential energy field through foot end contact force and body attitude information, form a gravity center disturbance mode in combination with fluctuation spectrum analysis, and reveal a disturbance propagation mechanism. A reverse compensation technology is adopted to generate an anti-disturbance sequence, a foot end force distribution topology is reconstructed, and active disturbance suppression is achieved; a multi-frequency detection wave beam and coherent superposition technology is introduced, an environment hologram is generated, geometric topology is reconstructed, and a high-precision environment sensing system is established; high and low impedance regions are identified through energy density analysis, and an energy optimal path is constructed in combination with double strategies of potential field bypassing and streamline tracking; establishing an oscillation analysis space for path projection simulation, identifying resonance risk points and determining stabilization parameters; finally, a coordinate reference is generated by adopting a quantum entanglement type multi-anchor-point synchronization mechanism, accurate positioning is realized by fusing environmental geometric information, and a technical closed loop from gravity center dynamics analysis to environmental perception navigation is realized.

The invention discloses an automatic alignment and integrated control system and method for an optical crystal array. The automatic alignment and integrated control system comprises a quantum entanglement enhanced ultra-precise sensing array, a multi-factor coupling error prediction module, a full-link adaptive compensation execution module, a central control module and a federal learning collaborative optimization module. The sensing array is used for acquiring multi-dimensional error data such as sub-nano displacement, Raman spectrum deformation, infrared temperature rise and friction stress in real time; the prediction module is used for mining coupling characteristics between error sources based on an attention mechanism and predicting an instant alignment error and a hysteresis deformation error; the compensation execution module realizes full-link compensation through quantum traceability calibration, mechanical arm dynamic composite compensation and process parameter cooperative adjustment according to the prediction error; the central control module performs synchronous scheduling and conflict coordination; and the federated learning module realizes collaborative optimization and privacy protection of models among multiple devices. According to the invention, ultrahigh-precision and adaptive intelligent integration of the optical crystal array is realized.

The invention relates to the technical field of knowledge graph and content management, in particular to an intelligent education content management method and system based on a knowledge graph, and the method comprises the steps: obtaining multi-modal education content data which comprises text data and audio data; based on the multi-modal education content data, executing multi-modal tensor decomposition to obtain unified feature representation; according to the unified feature representation, topological continuous coherence feature extraction is executed to obtain topological features; based on the topological features, quantum entanglement feature enhancement is executed, and enhanced features are obtained; executing non-exchangeable geometric feature fusion according to the enhanced features to obtain fusion features; based on the fusion features, chaotic dynamics knowledge extraction is executed, and extracted knowledge is obtained; according to the method, the extracted knowledge is constructed into the knowledge graph, different forms of education contents such as texts and audios are integrated through a multi-modal tensor decomposition technology, complementary information among different modals can be captured, and comprehensiveness and accuracy of knowledge representation are improved.

The invention relates to the technical field of quantum communication and network security, in particular to a dynamic encryption method based on quantum key distribution, which comprises the following steps of: generating a multi-layer quantum entanglement state and adaptively setting a measurement basis in combination with a chaos scheduler; if the identity verification is qualified, quantum bits are measured at different levels, results are combined, and a shared quantum key is formed after Hash processing; the system end fragments plaintext data and encrypts the plaintext data by using the subkey segments; when abnormity is detected, entanglement purification or key updating is carried out immediately, and when communication is finished, high-fidelity entanglement resources are recycled and chaotic scheduler parameters are deleted. Multiple times of actual measurement and comparison show that the method can still maintain excellent safety and throughput performance in noise and attack environments.

The invention belongs to the technical field of quantum and biological imaging, and particularly relates to an oral cavity biological imaging device based on a quantum entanglement phase. According to the invention, energy-time entangled photon pairs are generated by using a continuous laser pumping nonlinear waveguide, and signal photons are separated from idler frequency photons through an optical filter; a to-be-measured oral biological sample is placed in the unbalanced interferometer, two interference curves of different phases are obtained by measuring Franson interference between signal photons and idler frequency photons when the biological sample exists or not, and the entanglement phase difference of the two interference curves is calculated. The position of the sample to be detected is changed through the two-dimensional scanning platform, Franson interference is executed, and entanglement phase differences of different positions are obtained. And combining the phase differences to obtain a quantum phase image of the sample. According to the invention, high-precision imaging of a microstructure can be realized; according to the invention, each component can be from a mature photoelectric device, the device has the advantages of miniaturization, integration, practicability and the like, and a new way is opened up for quantum precision measurement and life science development.

According to the program behavior intervention method based on the quantum state, the target program state is quantized, the quantum state is generated, synchronous monitoring of multiple program behaviors is achieved through the quantum entanglement effect, and the malicious behavior tendency of the program is detected by defining the quantum threshold function; the program quantum state is intervened by using a quantum control operator, so that the program state is adjusted and malicious behaviors are prevented; in addition, a random disturbance term is introduced to increase system complexity, and an intervention strategy is dynamically adjusted through multiple quantum state measurement and feedback, so that control parameters are optimized. According to the method, the problems of insufficient detection precision and weak defense capability when a traditional program behavior detection technology is used for processing complex program behaviors are effectively solved, the safety and the stability of the system are remarkably improved, and the detection and defense capability on complex malicious behaviors is enhanced.

The invention discloses an ultrafast coherent Raman spectrometer based on quantum entanglement photon enhancement and a light path device thereof, which realize ultrafast and high-resolution detection of a molecular vibration mode through integration of a quantum light source assembly, an ultrafast laser assembly, a light path assembly and a nonlinear crystal assembly and a high-sensitivity detection technology. By utilizing the characteristics of quantum entangled photons, the sensitivity and resolution of spectral measurement are improved, the system structure is simplified, and the cost is reduced. The quantum light source assembly adopts a nonlinear optical crystal to perform parametric down-conversion to generate entangled photon pairs. The ultrafast laser assembly generates femtosecond pulses, and the femtosecond pulses and the entangled photon pairs carry out nonlinear interaction. The light path assembly accurately controls the path and polarization state of photons to realize nonlinear Raman scattering of sample molecules. And the high-sensitivity detector is used for detecting and measuring the Raman light signal scattered by the sample. The invention aims to provide a spectral analysis method with high time resolution and high spectral resolution so as to realize ultrafast and high-resolution detection of a molecular vibration mode. According to the spectrograph, by utilizing the characteristics of quantum entangled photons, through entangled photon pairs generated by the nonlinear optical crystal, the sensitivity and resolution of spectral measurement are improved, and the problem of balance between time and spectral resolution in the prior art is solved.

The invention discloses a multi-mode image information fusion method based on deep learning, and relates to the technical field of image processing, and the method comprises the steps: obtaining image data of an optical microscopic mode and an electronic microscopic mode, and carrying out the spatial resolution alignment; a quantum entangled state light field coding method is adopted for the optical microscopic image data to generate quantum enhancement features, and topological persistent coherence analysis is performed on the electronic microscopic image data to extract multi-scale structural features; the features are mapped to a tensor space, cross-modal feature fusion is carried out through a tensor ring decomposition method of dynamic rank adjustment, a joint representation tensor is generated, physical constraint reconstruction is carried out on the joint representation tensor, and a super-resolution fusion image is generated. Through fusion of quantum enhancement features and multi-scale topological features, tensor ring decomposition of dynamic rank adjustment and Tucker decomposition dimension reduction compression, efficient fusion of high-resolution images is achieved, calculation redundancy is reduced, and processing efficiency is remarkably improved.

The invention discloses a satellite load ground control terminal for low-orbit satellite communication, and relates to the technical field of satellite communication. In order to solve the problems that in the prior art, if any optical path in a double-optical-path system breaks down, a standby scheme cannot be quickly switched to or emergency repair measures cannot be taken, a fault detection and response mechanism is not comprehensive, and in quantum communication, entanglement state maintenance is very sensitive to the environment, and the service life is short. A dual-optical-path system needs additional measures to protect the quantum entanglement state, and the maintenance cost is high. Through cooperative work of the processor unit and the satellite communication unit, real-time fault monitoring of the dual-optical-path system is achieved, fault reasons can be intelligently recognized, corresponding repairing measures can be executed, when a satellite load breaks down or cannot work normally, the ground control terminal can take over a satellite in time to work and execute corresponding operation, and the working efficiency is improved. Therefore, the normal operation of the system can be quickly recovered, and the stability, reliability and safety of low-orbit satellite communication are improved.

Systems, apparatuses, methods, and computer program products are disclosed for authentication between multiple devices using N-way entangled particles. Any number (N) of entangled particles may be distributed to any number of devices within a distributed system to facilitate authentication between multiple devices. An example authentication method includes: generating, by a secure key generator of a first participating device, a first key based on one or more quantum entangled particles; determining, by communications hardware of the first participating device, that a connection to a second participating device could not be established or maintained; in response to the determining, by the communications hardware, transmitting a first connection request to establish a connection with a third participating device; receiving, by the communications hardware, an acknowledgement to instantiate the connection with the third participating device; and establishing, by the communications hardware, the connection with the third participating device.

The invention discloses a traffic signal global collaborative prediction method based on a quantum entanglement state, and the method comprises the steps: building a quantization model of a dynamic evolution path of a target traffic network in a time window in the future, and constructing a space-time diagram model; mapping the signal phase state of the intersection into a time-space integrated quantum state by adopting a layered quantum coding scheme; on the basis of a preset traffic optimization target, constructing Hamiltonian including spatial coupling, time evolution and a cost item, solving a ground state of the Hamiltonian through a mixed quantum-classical calculation method, and determining an optimal dynamic evolution path; coding the actual state of the current traffic network into an initial state, carrying out sequential measurement through an optimal evolution operator, decoding a cooperative signal control strategy of each time point in the future, and executing the cooperative signal control strategy through a rolling time domain control framework; according to the invention, global optimization is carried out by using quantum parallelism, the optimal cooperation strategy in the whole space-time range can be obtained at one time, and the overall operation efficiency, predictability and robustness of the traffic network are improved.

The invention relates to a method for realizing a rapid Rydberg blocking SWAP quantum gate based on continuous modulation laser driving. According to the method, laser is continuously modulated by adopting an analytic waveform generated based on Fourier series calculation, high-coherence Rydberg state transition of atomic quantum bits is driven, and accurate atomic state regulation and control meeting the operation requirements of an SWAP quantum gate are achieved. According to the method, errors are effectively reduced by suppressing high-frequency noise, meanwhile, defects related to mechanical motion are avoided, the heating effect generated in the operation process is prevented, the connectivity and fidelity of neutral atom bits in a large-scale system are remarkably improved, and rapid and high-fidelity SWAP quantum gate operation is achieved. And the method is suitable for low Rydberg blocking intensity, can effectively resist adverse effects such as laser fluctuation, and is compatible with a buffer atom framework, so that the intensity of quantum entanglement connection is enhanced.

A control system for a network of quantum systems operates the network to perform quantum informatics processing. The control system includes an entanglement scheduler configured to identify operations for which entanglement of two or more of the quantum systems is desired, identify plural potential entanglement attempts for generating the entanglement; and schedule at least some of the potential entanglement attempts to be performed to generate the entanglement for at least one of the operations. The entanglement scheduler may use direct entanglement, entanglement swapping and / or quantum teleportation approaches to generate the entanglement. The entanglement scheduler may schedule probabilistic entanglement attempts based at least in part on the probability of success of the entanglement attempts. The entanglement scheduler may generate entanglement to support plural branches of a quantum informatics process and / or to respond to events occurring while the quantum informatics process is executing.

The invention discloses an image classification method, system and device based on a quantum convolutional neural network, a medium and a product, and relates to the field of image classification, and the method comprises the steps: obtaining a to-be-classified image; preprocessing the to-be-classified image to obtain a processed to-be-classified image; converting the processed to-be-classified image into quantum image information by using a quantum coding technology; determining the category of the to-be-classified image by using an image classification model according to the quantum image information; wherein the image classification model is obtained by training a quantum convolutional neural network by using a training data set; the quantum convolutional neural network comprises a quantum entanglement layer, a quantum convolutional layer, a quantum pooling layer and a quantum full-connection layer which are connected in sequence. According to the method, the quantum convolutional neural network is adopted to classify the images, quantum entanglement and superposition characteristics are fully utilized, and the classification performance and the overall precision of the network are effectively improved.

The invention provides a safe two-party quantum scalar product calculation method based on bidirectional quantum migration on a circle. The scalar product of secret vectors of two communication parties is calculated under the condition that secret information is not leaked. The method provided by the invention needs the assistance of a semi-loyal third party, and the third party can act mistakenly according to own willingness but cannot collude with others. According to the method, a two-particle product state instead of a quantum entanglement state is adopted as an initial quantum resource, and only d-dimensional and two-dimensional single particle measurement instead of quantum entanglement state measurement is needed. The method provided by the invention not only has information theory security, but also can resist external attacks and participant attacks at the same time.

The invention provides an intelligent beauty feature optimization processing method and system for high-definition face changing, and relates to the technical field of image processing, and the method comprises the steps: extracting the features of a source face and a target face through a nonlinear feature decoupler, modulating a feature mapping group through a diffusion probability field, and fusing expression and identity features; extracting contour and detail features by using spectral domain conversion and sub-band decomposition, and performing structure mapping and texture enhancement; and extracting core facial beautification features through high-order tensor decomposition, performing adaptive facial beautification through a quantum entangled state coding network, and outputting a high-definition face-changing facial beautification image by using a fractional order partial differential equation.

The invention discloses a multi-modal data search method and system based on an AI large model, and relates to the technical field of multi-modal data processing, and the method comprises the steps: inputting multi-modal data into a quantum state propagation engine, mapping the multi-modal data to a quantum entanglement state through a quantum neural radiation field model, and generating a quantum entanglement state coding feature tensor; dynamically planning a quantum state propagation path of the quantum entangled state coding feature tensor based on a nonlinear soliton equation, and constructing a quantum topological index network and a knowledge graph; compiling a user search instruction into a quantum measurement operator, executing quantum state propagation path navigation in the quantum topological index network, and generating a candidate result set of cross-modal matching through a path interference effect; performing quantum de-coherence driven probability reordering on the candidate result set, and screening high-confidence results; through the amplitude damping channel and the fluctuation ratio weight calculation, the problem of high response delay caused by the calculation efficiency bottleneck is solved.