34 results about "Quantum walk" patented technology

The invention discloses a travel itinerary navigation method, device and equipment and a storage medium, and the method comprises the steps: collecting user biological rhythm parameters, cultural heritage activation indexes and multi-dimensional data of microclimate evolution prediction in real time, carrying out the feature weight dynamic distribution of the fusion of the multi-dimensional data through a quantum annealing algorithm, and constructing a four-dimensional decision space; based on a four-dimensional decision space, the tourist density, the cultural relic protection critical value and the commercial facility bearing capacity are mapped to an Isin spin system, a spin state evolution path is optimized in combination with a quantum walking algorithm, and an optimal solution set containing multiple candidate paths is generated; bio-rhythm parameters, emotional changes and scenic spot environment data of tourists are collected in real time, a quantum annealing algorithm and a quantum walking algorithm are adopted to perform deep fusion and optimization on multi-dimensional data, and tourism recommendation routes, information pushing frequency and feedback intensity are dynamically adjusted according to instant demands of the tourists. And the tourism experience of tourists is optimized.

The invention provides a hydrological big data real-time monitoring method and device based on quantum computing and a medium, and belongs to the technical field of hydrological data processing. Hydrological data and change data of a surface water body are collected; determining river course roughness and infiltration coefficient parameters as a hydrological change actual data set by using a quantum annealing process; predicting hydrological change data in the drainage basin based on a random forest regression model; performing comparative analysis on the hydrological change data and a prediction result based on the real-time rainfall data to generate a parameter adjustment instruction; setting a water level change threshold value and a precipitation threshold value; and receiving the precipitation in real time, triggering a historical similar flood event case library retrieval function on the basis of a threshold exceeding condition, and outputting an early warning response record corresponding to a historical event. A quantum walking algorithm is used for simulating flood diffusion, a submerging depth thermodynamic diagram is generated in combination with a digital elevation model, the flood submerging range and depth distribution are rapidly and accurately displayed, and visual and visual support is provided.

The present disclosure provides a method for searching at least one locally marked element defined by marking parameters within a 2D lattice of a quantum system, wherein the quantum system is operated in discrete time and wherein the 2D lattice is arranged for supporting quantum random walks which are defined by quantum random walk parameters, the method having a pre-set time comprises the steps of calibrating the quantum system by: initializing a quantum state in the quantum system on at least one node; performing one step of the split-step quantum random walk on the quantum state; obtaining probability density information of the quantum state through overlap with eigenstates of a unitary operator; repeating previous two steps to determine quantum random walk parameters based on the highest probability in the probability density information of the quantum state. Thereafter, the method comprises the steps of searching the quantum system for the at least one marked element by: tuning the marking parameters of the at least one locally marked element; initializing a uniformly distributed quantum state on the entire quantum system; performing a plurality of split-step quantum random walks for the uniformly distributed quantum state; after the pre-set time has lapsed, converting the uniformly distributed quantum state of step vii) into an observable.

The invention provides a computing power data processing method and system based on quantum inspiration, and the method comprises the steps: obtaining an image rendering task, decomposing the image rendering task into a plurality of subtasks, analyzing each subtask, and determining the granularity and number of the corresponding subtasks; a quantum random walk graph model is constructed, the quantum random walk graph model comprises nodes and edges connecting the nodes, each node corresponds to one subtask, and the weight of each edge represents the dependency relationship between the subtasks and the data transmission amount; according to the real-time computing power of nodes, the transition probability of each edge in a quantum random walk graph model is adjusted, an optimal task allocation path is solved through a simulated annealing algorithm, specifically, the quantum random walk theory is applied to classical computing resource scheduling, the local optimal limitation of a traditional greedy algorithm is broken through, and meanwhile, the optimal task allocation path is obtained. Changes of data features can be dynamically adapted, and the problem that computing resources are idle or overloaded is effectively solved.

The invention discloses an automatic defense system for computer network security, and the system comprises a quantum random walk edge real-time detection module which is responsible for capturing a data flow in a network in real time, and detecting the abnormal transition in the data flow through a quantum random walk model; the hyper-chaos time sequence prediction module is used for performing time sequence prediction on the data flow by utilizing a hyper-chaos neural network, identifying potential security threats, quantifying the chaos degree of the system through a Lyapunov index, dynamically setting an abnormal threshold value, and sending out an early warning signal when a prediction result exceeds the threshold value; the quantum key distribution cross-system collaboration module is used for encrypting threat intelligence exchange between external systems by using a quantum key distribution technology, and meanwhile, through an intelligent contract automation mechanism, when specific conditions are met, a whole-network defense action is automatically triggered; and the dynamic causal reasoning real-time feedback module is used for constructing a processor-network-application causal Bayesian network, and quickly positioning and blocking a threat source by deducing an attack propagation path in real time.

The present application discloses a risk account determination method and apparatus, a device, a storage medium and a program product. The risk account determination method comprises: constructing a transfer network graph on the basis of transfer information among a plurality of accounts, wherein the plurality of accounts comprise at least one known risk account; converting the transfer network graph into a corresponding bipartite graph, and constructing a quantum walk space on the basis of the bipartite graph; using a plurality of quantum bits to perform quantum state preparation on each node among a plurality of nodes, so as to obtain an initial quantum state corresponding to each node; on the basis of the initial quantum state, taking each node as a starting point respectively to perform a quantum walk in the quantum walk space, so as to obtain a final quantum state corresponding to each node; on the basis of the final quantum state, determining embedded information corresponding to each node; and on the basis of the embedded information, determining, from among the plurality of accounts, an account similar to the known risk account as a risk account.

The application provides a subjective question intelligent marking and learning situation analysis system based on writing characteristics, relates to the technical field of education, and the system architecture comprises a writing characteristic acquisition and analysis subsystem, an intelligent marking subsystem and a learning situation analysis and prediction subsystem. With the aid of quantum technology, all-round innovation and improvement are realized. The model constructed by quantum sensors and calculation makes micro dynamic data accurate and observable, time sequence characteristics deep and analyzable, and the quantum algorithm is remarkably effective in constructing the font aesthetics and multi-factor correlation model on a macro level. Quantum natural language processing and neural network cooperation, semantic style fusion innovation, knowledge graph reasoning with the aid of quantum graph algorithm, etc. can accurately judge and scientifically guide various types of questions. Quantum hashing and federal learning help to integrate multi-source data, quantum random walk and autoregressive moving average model realize psychological correlation prediction, accurately understand learning situation, effectively intervene to help students' physical and mental and academic progress, and greatly enhance the efficiency and value of the system in the field of education.

The invention provides a Hash function construction method based on dynamic feedback quantum walk. The Hash function construction method comprises the following steps: step 1, realizing Hash function initialization based on dynamic feedback quantum walk; 2, realizing dynamic feedback quantum walking evolution; 3, obtaining the probability distribution of the final quantum state corresponding to each vertex on the two-dimensional grid points through projection measurement; and 4, executing a post-processing method, processing the probability of each vertex on the two-dimensional lattice points through interception and modulo operation, and connecting to obtain a final hash value. According to the method, the message is mapped into the initial parameter of the coin operator, so that the sensitivity of the hash function to the initial message is improved; meanwhile, a dynamic feedback mechanism is introduced to adjust coin operator parameters, the quantum walking evolution process is controlled to optimize quantum state probability distribution, and collision resistance and uniformity of a hash function are improved. According to the method, a high-safety and high-robustness scheme is provided for Hash function construction based on quantum walking.

The invention discloses a hybrid encryption method and device based on three-body system collapse and quantum walking, and relates to the technical field of communication, and the method comprises the steps: obtaining an initial parameter and a preset disturbance quantity of a three-body system; inputting the initial parameters of the three-body system and the preset disturbance quantity into a pre-established three-body dynamic model, and outputting to obtain real-time state parameters of the three-body system in the rapid collapse process; the real-time state parameters of the three-body system in the rapid collapse process are input into a pre-established quantum walking model, evolution of a preset step number is carried out, and the evolution process comprises coin transformation operation and conditional displacement operation; after evolution of a preset step number is completed, key feature information of an evolution final state of the quantum walking model is extracted, a probability distribution matrix is obtained through calculation based on the key feature information, an encryption key sequence is generated based on the probability distribution matrix, and therefore hybrid encryption of communication data is achieved.

The present invention discloses a multi-level security information integrity authentication method based on active quantum walks, comprising the following steps: step 1: initialization of a keyed quantum hash function; step 2: execution of a controlled alternating active quantum walk method; and step 3: use POVM to measure and obtain the terminal quantum state |Ψ>. final Corresponding to the probability distribution P of each vertex on the ring; Step 4: Execute the post-processing method, process the probability of each vertex on the ring by interception and modulo operation, and connect to obtain the final hash value h. The present invention introduces the activity coefficient as a new parameter to participate in the construction of the keyed quantum hash function, and constructs a multi-level security information integrity authentication method based on active quantum walks. In terms of security, starting from the periodicity of quantum walks, the conditions for constructing a theoretically collision-resistant keyed quantum hash function are given; in terms of practicality, the flexibility and scalability of the keyed quantum hash function are improved, providing a practical solution for the practical application of the keyed quantum hash function.

The present invention discloses a traffic flow modeling method based on waveguide photon walks, comprising: dividing the traffic network into multiple sub-areas, extracting traffic flow data based on the sub-areas; generating driver dynamic probability patterns based on waveguide photon walks; screening the driver dynamic probability patterns for significant probability patterns to obtain significant probability patterns in each sub-area; realizing the mapping transformation between traffic flow data and driver significant probability patterns; mining the random features of the traffic network, defining the weighted average of the noise amplitude of the significant probability patterns as the driver randomness index; and defining the weighted average of the sum of the coupling strengths of the significant probability patterns as the traffic correlation index. The present invention innovatively applies the waveguide-based quantum walk system to the twin modeling of urban driver dynamics, effectively integrating driver randomness and traffic correlation in the traffic network, and providing a more accurate traffic volume modeling method.

To provide a quantum computer control device capable of realizing node embedding with high accuracy using a quantum walk.SOLUTION: A quantum computer control device is configured with a classical computer that controls a quantum computer that performs quantum walk. The quantum walk performs a node embedding conversion processing in which a graph is read as an input and a feature amount of the graph is output as a continuous value; movement of the quantum walker that moves a node on the graph is defined by a coin operator; and the coin operator is prepared and set for each node of the graph.SELECTED DRAWING: Figure 4

This invention discloses a method and system for condition assessment and early warning of low-voltage distribution boxes, belonging to the field of power equipment assessment and early warning technology. The invention acquires multi-dimensional operational monitoring data of the low-voltage distribution box and extracts features to construct several electrical nodes. Then, it combines device layout data and multi-dimensional operational monitoring feature vectors to perform link reasoning on the electrical nodes, obtaining the electrical state propagation link. Next, it initializes and iteratively updates the electrical state influence region to obtain the first electrical state influence region. Based on the first electrical state influence region, it determines the state weight of each electrical node. Then, it generates a real-time quantum random walk graph using the state weights, and obtains the real-time state condition mode through quantum walk evolution. Finally, it obtains the condition assessment and early warning result using the state weights of the electrical nodes and the real-time state condition mode, improving the accuracy of condition assessment and early warning for low-voltage distribution boxes.

The present invention provides a quantum walk device that performs edge detection in a noise-resistant manner. [Solution] In a quantum walk device 20 that performs edge detection of an image by executing a quantum walk which includes at least the processes of setting an initial state 21, repeatedly applying a unitary operation to the set initial state 22, and measuring the state after the repetition 23, the movement mode of the quantum walker set in the flip-flop operator for defining the unitary operation is characterized in that, in addition to moving to an adjacent position, it also includes coming to rest at the same position.

The invention discloses a binary firmware similarity analysis method and device for quantum random walk, and belongs to the technical field of computer security. According to the method, the vulnerability control flow diagram of the vulnerability binary firmware and the to-be-verified control flow diagram of the to-be-verified binary firmware are constructed, so that code characteristics of the vulnerability binary firmware and the to-be-verified binary firmware can be accurately represented through the control flow diagrams; the vulnerability control flow diagram and the to-be-verified control flow diagram are decomposed based on the number of nodes of the vulnerability control flow diagram and the number of nodes of the to-be-verified control flow diagram, so that the complexity of the vulnerability quantum random walk diagram and the to-be-verified quantum random walk diagram can be reduced, and the solving efficiency of quantum random walk is improved; through the quantum random walk algorithm, the implicit features of the binary firmware can be efficiently extracted from the quantum random walk graph to be verified and the vulnerability quantum random walk graph, the feature extraction efficiency and feature expressivity are improved, and then the efficiency of similarity analysis of the binary firmware is improved.

The invention provides a multilevel security information integrity authentication method based on two-dimensional nonlinear quantum walking. The multilevel security information integrity authentication method comprises the following steps: step 1, initializing parameters of a nonlinear quantum hash function with a secret key; 2, executing two-dimensional nonlinear quantum walking; 3, measuring to obtain the probability distribution of final quantum state vertexes; 4, executing a post-processing method to calculate a hash value; and 5, verifying the information integrity. According to the method, non-linear intensity is introduced as a new parameter to participate in quantum hash function construction, and the multilevel security information integrity authentication method based on two-dimensional non-linear quantum walking is constructed. In the aspect of safety, a nonlinear mechanism is introduced in underlying quantum walking to directly realize diffusion and confusion of quantum versions, so that the quantum analysis resistance of a quantum hash function is improved; in the aspect of practicability, the output flexibility and expansibility of the quantum hash function are improved, and a feasible scheme is provided for practicability of the quantum hash function.

The invention belongs to the technical field of quantum cryptography, and discloses a classical encryption and quantum walk combined mixed state data storage and retrieval method, which comprises the following steps of: performing classical encryption on original data to generate a ciphertext, generating an auxiliary quantum state mark on a predefined graph structure by using quantum walk, and combining the auxiliary quantum state mark with the ciphertext to form a mixed state ciphertext. The mixed-state ciphertext is stored in a data medium, and when a retrieval request is received, the system separates the quantum state mark from the mixed-state ciphertext and measures and analyzes the quantum state mark to verify the integrity of the ciphertext and the legality of an access request. The quantum state mark is generated based on fingerprint information of encrypted data and an access credential, the distribution characteristics of the quantum state mark are in one-to-one correspondence with ciphertexts, and verification is carried out through interference pattern analysis, superposition state reconstruction or characteristic distribution comparison. According to the method, the unique characteristics of the quantum state and a classic encryption method are combined, the security and tamper-resistant capability of the data are improved, and the method is suitable for data storage and access control scenes.

A real-time fraud detection system is disclosed that models financial transactions as evolving memory graphs using biologically inspired dendritic architectures. The system employs graph neural networks with edge decay and reinforcement mechanisms to retain behavioral context over time, enabling dynamic anomaly detection. An attention-based recall module reactivates latent fraud patterns based on contextual similarity. Optionally, quantum walk engines and entangled memory states are integrated to accelerate pattern discovery in high-dimensional data. The invention supports few-shot meta-learning, real-time inference, and deployment on neuromorphic or quantum-classical platforms, offering adaptive, scalable, and interpretable fraud detection across dynamic financial ecosystems.

The application discloses a quantum random number generation system and method based on light quantum walk, which comprises a pump light source, a nonlinear crystal, a single photon performance measurement module, a fiber transmission module, a polarization state forming module and a quantum walk network.

The application discloses a kind of measurement equipment independent quantum secure direct communication methods based on quantum walk, including encoding in position space in position state and in hardware space in coin state;It is obtained based on quantum walk on straight line that shared entangled state is used as quantum channel;The shared quantum channel is re-described and measured;Quantum channel is detected and the security of quantum channel is judged;Sender and receiver measure and entangle through third party;Sender and receiver confirm the security of quantum channel again;The particle of sender and receiver is merged to obtain composite quantum state;Second quantum walk is carried out to obtain the quantum entangled state of sender and receiver;Sender carries out projection measurement on quantum entangled state and sends the measurement result to receiver, and completes the final measurement equipment independent quantum secure direct communication.The application can realize measurement equipment independent quantum secure direct communication, and reliability is high, and security is good.

The application belongs to the technical field of quantum cryptography, and discloses a hybrid state data storage and retrieval method combining classical encryption and quantum walk. The original data is classically encrypted to generate ciphertext, and the auxiliary quantum state marker is generated on the predefined graph structure by quantum walk, which is combined with the ciphertext to form the hybrid state ciphertext. The hybrid state ciphertext is stored in the data medium. When receiving the retrieval request, the system separates the quantum state marker from the hybrid state ciphertext and performs measurement and analysis to verify the ciphertext integrity and the legality of the access request. The quantum state marker is generated based on the fingerprint information of the encrypted data and the access credential, and its distribution characteristics correspond to the ciphertext one by one. The verification is performed through interference pattern analysis, superposition state reconstruction or feature distribution comparison. The application combines the unique characteristics of quantum states and classical encryption methods, improves the security and tamper resistance of data, and is suitable for data storage and access control scenarios.

This invention relates to the field of cache optimization and discloses a method for optimizing semiconductor wafer transport efficiency using a device-side cache system, achieving intelligent collaborative optimization of the entire wafer transport process. The method includes collecting wafer arrival timestamps and device status data, capturing long-range correlations in wafer arrival, generating an enhanced prediction model based on physical state markers, constructing a weighted topology graph through a dynamic topology coherence analysis unit, identifying bottleneck devices using Betti number sequences, rapidly generating optimal path selection instructions based on device load probability amplitude evolution by a quantum random walk path optimization unit, and coordinating the adjustment of cache size and robotic arm movement trajectory by a robust optimization control unit to ensure transport accuracy and stability. This invention can significantly improve wafer transport efficiency and overall production line performance, reduce wafer damage risk, and is suitable for high-speed, high-precision transport scenarios for wafers of 300mm and above, providing key technical support for the intelligent upgrading of semiconductor manufacturing.

The invention relates to the field of cache optimization, and discloses a method for optimizing semiconductor wafer conveying efficiency by using an equipment end cache system, so as to realize intelligent collaborative optimization of a whole wafer conveying process. Comprising the steps of collecting wafer arrival timestamps and equipment state data, capturing wafer arrival long-range correlation, generating an enhanced prediction model in combination with physical state marks, constructing a weighted topological graph through a dynamic topology coherence analysis unit, and identifying bottleneck equipment by utilizing a Betti number sequence. The quantum random walk path optimization unit rapidly generates an optimal path selection instruction according to equipment load probability amplitude evolution, and the robust optimization control unit cooperatively adjusts the cache size and the motion trail of the mechanical arm to ensure the conveying precision and stability. The wafer conveying efficiency and the comprehensive efficiency of a production line can be remarkably improved, the wafer damage risk is reduced, the wafer conveying device is suitable for high-speed and high-precision conveying scenes of wafers of 300 mm or above, and key technical support is provided for semiconductor manufacturing intelligent upgrading.

The application provides a quantum information transmission method and device of a connected graph, equipment and a medium, which can be applied to the technical field of image processing. The method comprises: edge coloring of a target connected graph, and constructing an extended coin space based on a color set obtained by edge coloring; based on the edge coloring result of the target connected graph and the extended coin space, constructing a Hamiltonian for controlling quantum information evolution, and a coin operator for quantum information transmission path control and component marking; constructing a hybrid quantum walk model based on the Hamiltonian and the coin operator, and performing iterative evolution based on the hybrid quantum walk model to update each component of the initial information of the target connected graph; in response to completion of updating of all components, performing recovery processing on each component to obtain target quantum information of the target connected graph at a target vertex.

The application discloses a path planning method based on constrained quantum random walk and non-global quantum state enhancement, a two-dimensional discrete environment containing obstacles is encoded into a quantum register system, an environment constraint mechanism is introduced in a quantum state evolution stage, and only path states are allowed to propagate to non-obstacle positions, so that illegal path branches are directly inhibited in a quantum random walk process. A path validity judgment operator and a reflection operator based on an evolution state are constructed, path branches satisfying environment constraints and target constraints are subjected to amplitude enhancement without relying on uniform superposition search of the whole space, and the application utilizes quantum parallelism to improve path planning efficiency and has good engineering realizability and expansibility in a complex environment.

The invention discloses a laser holographic dynamic anti-counterfeiting information generation method applied to product packaging, which comprises the following steps of: constructing an anti-counterfeiting primitive model library capable of dynamically deforming based on a packaging three-dimensional structure, and combining multi-scale decomposition and mechanical-optical coupling to ensure that information is complete during deformation; a chaotic encryption engine is constructed by using a three-dimensional Lorentz attractor and a quantum walking algorithm, a high-randomness key stream is generated to perform dual modulation on primitive parameters, and a packaging curved surface is matched through conformal transformation; a holographic interference field is constructed by adopting a dual-wavelength interference framework and dynamic light path compensation, and a laminated holographic structure is formed; through precise control and predictive compensation of laser energy, a micro-nano structure with gradient refractive index distribution is recorded on the surface of a package, and a dynamic visual effect is presented. And meanwhile, multi-dimensional verification mechanisms such as fluorescence red shift response and moire fringe detection are integrated, and dynamic updating of the primitive model library is realized by relying on a block chain and federated learning.

A near space atmospheric state simulation method and device based on the quantum walk comprises: firstly, based on a characteristic of a near space atmosphere changing along with latitude, dividing a study region into a plurality of bands according to the latitude; secondly, based on a one-dimensional topology network constructed by the bands, simulating interaction and transfer processes of gas molecules between the bands by quantum walk to obtain all possible near space atmospheric evolution models; then, screening for actually existing evolution models in each of the bands based on stepwise regression by taking observed atmospheric density data as constraint conditions; and finally, constructing a mapping mechanism between a plurality of near space atmospheric evolution models and atmospheric density parameter values to achieve simulation and optimization of near space atmospheric states.

A ring cavity laser (10) based on a semiconductor gain medium providing a lasing transition between quantised energy bands. The laser's ring cavity (12) possesses a plurality of modes, at least one of which having a frequency around which sufficient gain can be generated to cause lasing action. An electrical driver circuit applies an injection current to the semiconductor gain medium to cause population inversion and lasing action. A modulator (18) provides phase modulation within the cavity optical path at a modulation frequency near- resonant with an integer multiple or fraction of one of the mode frequencies. The phase modulation causes the laser to output a stable optical frequency comb which is established by random quantum walk in a photonic lattice created by said mode and its neighbouring resonator modes. A random quantum walk arises when these modes are coupled by the phase modulation.

The invention discloses a path planning method based on constrained quantum random walk and non-global quantum state enhancement, and the method comprises the steps: coding a two-dimensional discrete environment containing an obstacle into a quantum register system, introducing an environment constraint mechanism in a quantum state evolution stage, and only allowing a path state to be transmitted to a non-obstacle position, therefore, illegal path branches are directly inhibited in the quantum random walk process. Constructing a path effectiveness judgment operator and a reflection operator based on an evolutionary state, and performing amplitude enhancement on path branches meeting environmental constraints and target constraints on the premise of not depending on full-space uniform superposition search; according to the method, the path planning efficiency is improved by using quantum parallelism, and the method has good engineering realizability and expansibility in a complex environment.

The invention discloses an edge search method based on quantum rambling, and relates to the technical field of quantum computing, and the method comprises the steps: obtaining a to-be-searched graph, determining the type of the to-be-searched graph, mapping the to-be-searched graph into a general graph, and determining an adjacent matrix of the general graph, the number of nodes of the general graph being the sum of the number of nodes and the number of edges of the to-be-searched graph, the type of the to-be-searched graph comprises a static graph and a dynamic graph; determining a to-be-searched target edge, and establishing a target edge marking matrix according to the marking state of the to-be-searched target edge to mark the to-be-searched target edge; defining a quantum walk edge search Hamiltonian according to the adjacency matrix and the target edge marking matrix of the general graph; searching Hamiltonian according to the quantum walk edge, constructing an evolution equation, and executing continuous time quantum walk evolution based on the evolution equation; and according to the evolution result, measuring the search target edge, and obtaining the probability that the target edge is successfully searched. According to the method, the search of the edges in the static graph and the dynamic graph can be realized, and the square-level acceleration can be realized on the search efficiency.