48 results about "Cluster state" patented technology

The invention discloses a computing resource scheduling method based on user demands and task priorities, which relates to the technical field of resource scheduling, and comprises the following steps: receiving a computing task request submitted by a user, analyzing and verifying explicit demand parameters and implicit demand parameters, and generating a standardized demand description object; acquiring cluster state data and external environment parameters in real time, constructing a user-task-environment three-dimensional feature tensor, and outputting a standardized feature vector group; and collecting a performance data flow of the container instance group, triggering an elastic scaling decision based on a pre-trained LSTM prediction model, dynamically adjusting cluster resource configuration and executing abnormal task rescheduling. According to the method, a user-task-environment three-dimensional feature tensor is constructed, and a dynamic mixed weighted priority score is generated in combination with a reinforcement learning model, so that space alignment and time sequence cumulative effect fusion of multi-dimensional features is realized.

The invention relates to the technical field of quantum information, and discloses a method for controllably and remotely executing any target quantum operation of a single quantum bit, and the method comprises the steps: employing a one-dimensional five-quantum-bit cluster state as an entanglement resource, and forming a quantum information transmission channel through the reasonable configuration of quantum bits; quantum bit measurement and classical information transmission are executed by an information control party, and generation of a channel access authorization key and secure transmission of a target quantum state are realized; the operation executor executes a series of quantum operations and Bell state measurement according to the received classic information and transmits a measurement result to the receiving agent; and the receiving agent executes a dynamic conversion operation according to the received classical information and the channel access authorization key, and finally controlled remote execution of the target quantum operation is realized. According to the method and the device, the confidential quantum information is quickly and safely transmitted under the condition that the operation executor does not completely trust the receiving member.

A fault-tolerant quantum computing scheme implements quantum computing based on three-dimensional cluster states using just a small number of physical components. The technique may be implemented using a single actively controlled qubit [100], e.g., a quantum emitter, and a pair of delay line loops [106, 108], which can be physically realized using existing technologies in quantum photonic and phononic systems. A three-dimensional cluster state is prepared by using the actively con-trolled qubit to generate data qubits that propagate through the two delay line loops, interact with the actively controlled qubit, and then are measured by a detector [110].

The invention relates to the technical field of quantum security computing communication, and discloses a cluster state-based third-party quantum summation method with a bidirectional identity authentication mechanism, which comprises the following steps of: firstly, realizing bidirectional identity authentication between a participant and a third party in a quantum channel by pre-sharing secret identity information and a hash function in combination with a decoy photon technology; and impersonation and man-in-the-middle attack are fundamentally eradicated. And after the authentication is passed, the participant randomly executes measurement or reflection operation on the particle to which the participant belongs, so that an encrypted private key can be generated under the assistance of a third party, and external eavesdropping and internal participant attack can be jointly detected according to an operation combination to form multi-level security protection. Finally, the third party can only calculate the bitwise modular binary sum of the private bit string of each party, and cannot obtain any single input value. According to the method, authentication and calculation are organically fused, unconditional security is guaranteed, and meanwhile, the quantum capability requirements of participants are remarkably reduced.

Quantum systems and techniques are described to generate fault tolerant cluster states for use in quantum computation, quantum networking, and other applications. The systems and techniques include initializing states in first qubits and generating initial resource states by performing first Pauli product measurements on sets of X-type and / or Z-type qubits of the first qubits, the initial resource states comprising qubit cluster states comprising at least three qubits. The final cluster state may then be generated by fusing two or more initial resource states, the fusing comprising performing second Pauli product measurements between qubits of two or more of the initial resource states.

A cluster state detection method, apparatus, device, and computer-readable storage medium are disclosed. The method includes: acquiring various multivariate time series data for each server node in a server cluster within each detection time period; and determining the matrix product T between adjacent matrices and the multivariate time series data corresponding to the i-th detection time period. i ; T i Input the trained GVAE and obtain the output T of the trained GVAE. i '; Determine T i and T i The difference characterization value is used; if the difference characterization value is greater than the threshold, it is determined that there is an abnormal server node in the server cluster. Through this embodiment, based on the multivariate time series of each server node in the server cluster, combined with the spatial correlation information between each server node and GVAE, the detection of whether there is an abnormal server node in the server cluster is realized.

The application discloses a simulation job scheduling method and system based on a hybrid expert model and a medium, and relates to the field of data processing.In the method, the job parameters of a simulation job to be scheduled and host state information of computing nodes in a cluster are acquired; a feature vector representing job features and cluster states is generated based on the job parameters and the host state information; the feature vector is input into a routing module in the hybrid expert model to obtain the probability and probability distribution of the simulation job relative to a plurality of preset subject experts; the information entropy of the probability distribution is calculated, and the information entropy is compared with a preset information entropy threshold; if it is determined that the information entropy is less than the preset information entropy threshold, a target subject expert with the highest probability is determined from the plurality of preset subject experts to obtain a scheduling decision; and the scheduling decision is sent to a job executor on a target host, so that the job executor executes the simulation job according to the scheduling decision.Implementation of the technical solution provided by the application improves the accuracy of the scheduling decision.

According to the quantum network coding method and device based on quantum homomorphic encryption, quantum state transmission can be achieved through local measurement, only classical measurement results need to be transmitted subsequently, direct transmission of quantum states is avoided, the risks of noise and de-coherence are reduced, quantum operation is simplified through local measurement, the requirement for quantum gates is reduced, and the quantum network coding efficiency is improved. Therefore, the calculation efficiency is improved, and the performance and reliability of the quantum homomorphic encryption scheme are improved. The method comprises the following steps: (1) preprocessing: pre-sharing cluster states among nodes of a butterfly network; (2) encryption and coding: the nodes realize quantum state encryption and transmission through local measurement and classical communication; (3) quantum homomorphic evaluation: operating a quantum gate by using a measurement-based quantum calculation MBQC model on a cluster state, wherein the quantum gate comprises {X, Z, H, S, T, CNOT}; and (4) decryption and decoding: after the receiving node receives the encryption key from the sender and the measurement result of the server, deriving a decryption key, and carrying out Fouli correction operation on the received quantum state.

Embodiments of the present application provide a cluster state evaluation method and a storage medium, an electronic device and a program product, and relate to the field of computers, wherein the method comprises: obtaining a state evaluation request triggered by a cluster, wherein the state evaluation request carries a template request parameter and a data request parameter; obtaining evaluation data of the cluster based on the data request parameter, wherein the evaluation data is cluster data that meets a data range indicated by the data request parameter; in the case of obtaining an evaluation template matching the template request parameter, obtaining a plurality of evaluation elements included in the evaluation template, wherein one evaluation element corresponds to one evaluation style; generating a plurality of evaluation results for the evaluation data according to each evaluation style, wherein one evaluation result corresponds to one evaluation element, and the plurality of evaluation results are used to evaluate the running state of the cluster. The embodiments of the present application solve the technical problem of low state evaluation efficiency of the cluster in the related art.

The embodiment of the invention provides a cluster state evaluation method, a storage medium, electronic equipment and a program product, and relates to the field of computers.The method comprises the steps that a state evaluation request triggered for a cluster is obtained, and the state evaluation request carries template request parameters and data request parameters; based on the data request parameter, acquiring assessment data of the cluster, the assessment data being cluster data conforming to a data range indicated by the data request parameter; under the condition that an evaluation template matched with the template request parameter is obtained, a plurality of evaluation elements included in the evaluation template are obtained, and one evaluation element corresponds to one evaluation style; according to each evaluation style, multiple evaluation results are generated for the evaluation data, one evaluation result corresponds to one evaluation element, and the multiple evaluation results are used for evaluating the running state of the cluster. According to the embodiment of the invention, the technical problem of relatively low cluster state evaluation efficiency in related technologies is solved.

The embodiment of the invention relates to a job cleaning method and device, computer equipment and a storage medium, and the method comprises the steps: marking a job meeting a first preset condition when a job submission request is received through a target interface in a system; writing a job identifier corresponding to the marked job into a to-be-cleaned queue of the system; judging whether the cluster state information in the system meets a second preset condition or not; and when the cluster state information meets the second preset condition, executing cleaning operation according to the queue to be cleaned. Therefore, the jobs meeting the preset conditions can be added into the to-be-cleared queue through the target interface, the clearing operation is executed according to the current cluster state information, manual operation is not needed, the job information can be accurately cleared according to the cluster state change, the performance bottleneck problem of the GCS is effectively relieved, the response time of the GCS is shortened, and the efficiency of the GCS is improved. And the stability and the resource utilization rate of the system are improved.

Local quantum communication networks for general-purpose quantum computing may use millions of physical qubits to encode thousands of logical qubits, presenting a substantial hardware architecture challenge. Our modular Quantum System-on-Chip (QSoC) architecture uses a quantum microchiplet (QMC) that features compact two-dimensional arrays of diamond color centers with a resonant dielectric antenna integrated on a foundry-processed chip. Our QSoC architecture enables full connectivity for quantum memory arrays in a set of different resonant frequencies and offers the possibility of further scaling the solid-state physical qubit number via larger and denser QMC arrays and optical frequency multiplexing networking. Our QSoC architecture can efficiently generate a large scale fully connected qubit state by tuning the emitters' emission frequency. Larger qubit resources can achieve a connected qubit cluster state with less tunabiliy. Our QSoC architecture can be readily extended to other solid-state quantum memory platforms.

We provide a scalable and fault-tolerant system for optical quantum computing. [Solution] The system includes multiple optical circuits, multiple photon-resolved detectors (PNRs), a multiplexer, and an integrated circuit (IC). During operation, the optical circuits generate output states by Gaussian boson sampling (GBS), and the PNRs generate qubit clusters based on the output states. The multiplexer multiplexes the qubit clusters and replaces empty modes with squeezed vacuum states to generate multiple hybrid resource states. The IC stitches the hybrid resource states together into a high-dimensional cluster state containing states for fault-tolerant quantum computation.

This application provides a cluster adjustment method, apparatus, electronic device, and storage medium. The method includes: acquiring the cluster state of a target cluster; determining a target adjustment action to be performed on the target cluster based on the cluster state; and performing the target adjustment action on the target cluster to complete the adjustment. This application automatically determines the target adjustment action to be performed on the target cluster based on its cluster state and adjusts the target cluster accordingly, thereby achieving automatic cluster management and simplifying the complexity of cluster management. This solves the problem of complex cluster management in related technologies.

Disclosed herein is a computer-implemented quantum error correction method for decoding errors in a quantum computer system. The quantum computer system comprises a decoder apparatus and a register of quantum devices, the decoder apparatus comprising a plurality of processing elements (PEs). The method comprises receiving, at the decoder apparatus, syndrome data representative of an error state of the quantum devices in the register of quantum devices, the syndrome data comprising a plurality of defects, wherein the syndrome data is representable as a decoding hypergraph comprising a plurality of nodes connected by hyperedges representing error mechanisms associated with the plurality of quantum devices. The method further comprises performing, by the plurality of PEs, a clustering algorithm, the clustering algorithm comprising a plurality of steps, and wherein the clustering algorithm grows and merges clusters of nodes based on the number of defects in each cluster until a final cluster state is reached. The method further comprises determining, by the decoder apparatus, a correction for the error state based on the final cluster state; wherein each of the plurality of PEs is associated with a respective batch of nodes of the decoding hypergraph, each batch containing a plurality of nodes. Each PE of the plurality of PEs performs one or more first steps of the plurality of steps of the clustering algorithm. Performing the one or more first steps by each PE comprises determining which nodes of the PE's associated batch of nodes are in a cluster, and performing, in respect of each of the nodes determined to be in a cluster, the one or more first steps of the clustering algorithm.

The present application relates to unmanned cluster fault diagnosis and health management technical field, especially a kind of unmanned cluster cascade fault deduction model and method based on physical information graph.The present application first obtains fault deduction model, and fault deduction model is based on the cluster adjacency matrix and cluster state matrix of current time k and deduces the cluster state matrix of next time k+1;On time k+1, the cluster state matrix is updated in cycle by fault deduction model, and the state true value vector of cluster is derived according to cluster state matrix, and state true value vector is used to describe whether each node is fault;Until the state true value vector on adjacent two cycles on time k+1 is consistent, then the latest cluster state matrix is output as prediction result.The present application fuses physical information and graph neural network to carry out cluster fault deduction, realizes the rapid, accurate simulation to cluster cascade fault.

The present invention discloses a teleportation method for teleporting an unknown five-particle entangled state based on a five-particle cluster state, which relates to the field of quantum communication technology and includes: a communication sender and a communication receiver share a five-particle cluster state to establish a quantum entanglement channel; the communication sender transforms the unknown five-particle entangled state to be teleported into an unknown GHZ-like state through a CNOT gate; the communication sender performs a Bell state measurement and an H gate operation on the unknown GHZ-like state according to the five-particle cluster state, and then informs the communication receiver of its own measurement result; the communication receiver performs a unitary operation on the particles it owns according to the measurement result of the communication sender and the five-particle cluster state to reconstruct the GHZ-like state; the communication receiver introduces auxiliary particles and restores the unknown five-particle entangled state by performing a CNOT gate operation on the reconstructed GHZ-like state. The present invention has the characteristics of high communication efficiency.

The disclosure regards an optical entanglement system for generating an at least three-dimensional cluster state for measurement-based optical quantum computation, the optical entanglement system having as input a plurality of pairs of quantum states, the system comprising a beam-splitter network, comprising at least twelve beam splitters, and at least eight input modes, wherein each input mode is configured to host a quantum state, a plurality of delay lines, each delay line configured for generating a time delay on one of the quantum states in at least one pair of quantum states, wherein the system is configured for entangling the pairs of quantum states utilizing the beam-splitter network and the induced time delays, thereby generating an at least three-dimensional cluster state.

The invention relates to the technical field of quantum security calculation, and discloses a multi-party multi-data summation method based on a d-dimensional cluster state, which introduces a semi-honest third party to assist in completing summation calculation, and constructs a bidirectional identity authentication process between a participant and the third party by using a dual one-way hash function, thereby effectively preventing identity impersonation attack. In a multi-party multi-data summation stage, a multi-party quantum information interaction structure is established by using quantum entanglement association between a d-dimensional Bell state and a d-dimensional cluster state, and secure coding and aggregation of private data of participants are realized through Bell measurement. Meanwhile, detection particles from (d + 1) groups of complementary bases are randomly inserted into a quantum channel and are used for detecting potential eavesdropping behaviors and ensuring the safety of a quantum communication process.

The application realizes fine-grained attack classification by effectively utilizing the underlying distribution of existing low-quality label data, discovers the clustering structure in the data, and makes the data either correctly classified under the known label or newly labeled, thereby obtaining high-quality label data. The application fuses the feature and structure information of the original data through the automatic encoder and the graph automatic encoder, estimates the similarity between the sample points and the cluster centers in the potential embedding space through the relative entropy, improves the target distribution precision, and reflects the influence of the number of clusters on the data by combining the data state and the cluster state. The application effectively reduces the problems of model detection accuracy decline, false positive rate increase, and insufficient generalization ability caused by low-quality label data through the data fine classification method, and improves the threat detection precision.

The invention discloses a resource elastic scaling method and apparatus, and a computing device. The method comprises the steps of receiving a computing task issued by a requester; determining a matched target cluster priority according to the grading label of the calculation task; detecting cluster state information of the computing cluster of the target cluster priority; when the target cluster priority is the first priority, the cluster state information comprises the hoarding task number; and according to the cluster state information, executing resource elastic scaling processing on the computing cluster of the target cluster priority. By means of the mode, hierarchical scheduling of the computing tasks can be achieved, different cluster state information can be adopted for computing clusters with different priorities to serve as the basis for triggering resource elastic scaling processing, and the number of hoarding tasks is introduced into a resource elastic scaling mechanism of the computing cluster with the first priority to serve as the judgment basis; and the problem of resource waste of the computing cluster with low priority caused by a mode of performing resource elastic scaling by depending on the resource utilization rate is avoided.

The invention discloses a multiparty joint cluster state remote preparation method based on multicast. A sender, a plurality of joint preparation parties and a plurality of receivers are connected through a cluster state channel to establish a quantum entanglement channel; the amplitude value information and the phase value information of the to-be-prepared target state are respectively distributed between the sender and the plurality of joint preparation parties; performing measurement of an amplitude value measurement base on a particle held by a sender, and sending a result to a plurality of joint preparation parties and corresponding receivers; after receiving the amplitude measurement result sent by the sender, the joint preparation parties execute unitary operation and corresponding phase value measurement on the owned measurement basis, and send the phase measurement result to the next joint preparation party and the corresponding receiver until the last joint preparation party completes measurement; according to the measurement results of the sender and the plurality of joint preparation parties, the receiver performs unitary operation on the held particles to obtain a target intermediate state; and the receiver introduces auxiliary particles to execute CNOT and CZ operations to obtain a target cluster state.

The invention discloses a programmable and extensible universal light quantum computer system, which comprises a central control module, and at least one of a linear operation module, an embedded compression module, a nonlinear operation module, a light source module, a detection module and an I / O (Input / Output) routing module which are expanded and connected through a standardized interface in a flexible plugging manner, and free plugging combination of the modules is realized. Through central control phase locking / synchronization / cache and I / O routing, an embedded compression module and a non-linear operation module are inserted in a linear operation module in an on-line manner, and in-phase / orthogonal intrinsic detection and photon number distinguishing detection are matched with an approximate on-demand Fock source for enhancing forecast. Tasks such as non-Gaussian state engineering (cat state, compass state and GKP state), cluster state generation and Bose-Hubboard interaction dynamic and the like are realized, and resource requirements of continuous variable general quantum computing are met.

Disclosed herein is a computer-implemented quantum error correction method for decoding errors in a quantum computer system. The quantum computer system comprises a decoder apparatus and a register of quantum devices. The decoder apparatus comprises a plurality of processing elements, PEs. The method comprises receiving, at the decoder apparatus, syndrome data representative of an error state of the quantum devices in the register of quantum devices. The syndrome data comprises a plurality of defects. The syndrome data is representable as a decoding hypergraph comprising a plurality of nodes connected by hyperedges representing error mechanisms associated with the plurality of quantum devices. The method further comprises performing, by the plurality of PEs, a clustering algorithm. The clustering algorithm comprises a plurality of steps. The clustering algorithm grows and merges clusters of nodes based on the number of defects in each cluster until a final cluster state is reached. The method further comprises determining, by the decoder apparatus, a correction for the error state based on the final cluster state. Each of the plurality of PEs is associated with a respective batch of nodes of the decoding hypergraph, each batch containing a plurality of nodes. Also, each PE of the plurality of PEs performs one or more first steps of the plurality of steps of the clustering algorithm by performing the first steps in respect of each of the nodes in its batch of nodes successively.

The invention provides a cluster communication method and system based on artificial intelligence. The cluster communication method and system are applied to AI model training or cluster range communication in high-performance computing. The method comprises the steps that when data communication is carried out between working nodes, if the data size exceeds a first threshold value of dynamic adjustment, data is segmented into a plurality of slices, the number of slices, received by a first working node, of a second working node is inversely proportional to a first distance, and the number of slices sent to a third working node is inversely proportional to a second distance. The AI model collects cluster state information in real time, dynamically selects a distance-slice number mapping function from a function type set according to a network congestion condition, and outputs an optimal parameter; meanwhile, according to different link qualities and data priorities, differentiated slice granularities are selected in a self-adaptive mode. According to the invention, by introducing a dynamic mapping function selection mechanism and a differentiated slicing strategy, finer bandwidth utilization and resource allocation are realized, and the cluster communication efficiency and adaptability are significantly improved.

The embodiment of the invention provides a database read-write separation method and device, equipment, a storage medium and a program product, and relates to the field of distribution. The method comprises the following steps: analyzing a configured connection character string to create a connection pool group; according to cluster state information corresponding to the connection pool group, dynamically allocating a master library connection or a slave library connection; and updating cluster state information of each connection pool in the connection pool group in real time in the process of dynamically distributing the master library connection or the slave library connection. According to the method provided by the invention, the sensing dimension and the dynamic adaptation capability of the connection pool group to the cluster node state are increased, and the accuracy of the read-write request routing and the utilization efficiency of the connection resource are improved.

The invention discloses a resource scheduling method, system and device of a cloud platform virtual machine and a medium, and relates to the technical field of cloud computing. The method comprises the following steps: acquiring historical cluster state data; obtaining an input vector according to the historical cluster state data; inputting the input vector into a spatial-temporal feature prediction model and a weight memory prediction model, and outputting a first confidence score and a second confidence score; according to the first confidence score, the second confidence score and a preset sliding time window, calculating to obtain comprehensive resource demand prediction; calculating a deviation value, and obtaining a resource operation cost factor and a resource reservation threshold value according to the deviation value; obtaining a capacity expansion trigger value and a capacity reduction trigger value according to the historical cluster state data and the resource operation cost factor; comparing the resource reservation threshold with the capacity expansion trigger value and the capacity reduction trigger value to obtain a decision instruction; and executing a resource scheduling operation. By implementing the technical scheme provided by the invention, the actual resource demand of the virtual machine can be accurately reflected, and the platform stability is enhanced.

The embodiment of the invention discloses a distributed database-oriented cluster state processing method and electronic equipment. The method comprises the following steps: in response to a distributed database-oriented cluster state monitoring instruction, determining a target cluster with a cluster state monitoring requirement in a distributed database; acquiring a cluster state monitoring strategy preset for the target cluster, and monitoring the cluster state of the target cluster based on the cluster state monitoring strategy; and when the cluster state does not conform to the expected state and the duration that the cluster state does not conform to the expected state exceeds a preset duration, processing the cluster state as the expected state. According to the technical scheme provided by the embodiment of the invention, the cluster data can be prevented from being disordered, lost and the like.

The invention provides a flow table optimization method and system among K8S multiple clusters, and the method comprises the steps: obtaining to-be-analyzed data in the K8S multiple clusters, extracting flow interaction features among the clusters, and resource use features and flow mode features in the clusters from the to-be-analyzed data, and inputting the flow interaction features, the resource use features and the flow mode features into a pre-trained target flow graph model; the target flow graph model comprises equipment nodes, edges between the nodes represent the flow direction, and the target flow graph model outputs a target flow table adjustment scheme under the limitation of a preset constraint condition so as to indicate to change flow table items and corresponding parameters. By uniformly collecting the flow table information and cluster state information of each cluster, the uniform analysis of the flow information in the plurality of clusters and the uniform distribution of the global flow are realized, the load balance among the clusters is realized, and the optimal flow transmission path is output by fully analyzing the data to be analyzed, so that the flow processing efficiency is improved, and the user experience is improved. And efficient and stable communication of the distributed application is ensured.

The present application relates to the technical field of computer, and discloses a test parameter determination method and device, electronic equipment and storage medium, since the storage cluster type and cluster state value are acquired first, the first storage pool is determined, and the first test parameter set is determined according to the type, attribute information and cluster state value, and then the first test parameter value is determined, then the second storage pool is determined according to the storage cluster type and the first storage pool type, the second test pool parameter set is determined according to the type, attribute information and corresponding cluster state value, and then the second test parameter value is determined, finally, the target test parameter value is determined according to the first test parameter value and the second test parameter value, a variety of complex test scenarios are covered through different storage cluster types and cluster state values, and then the target test parameter value meeting the actual test requirements is determined through the first test parameter value and the second test parameter value meeting the constraint conditions, so that the accuracy and authenticity of the test are improved.