23 results about "Cluster state" patented technology

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.

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.

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 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 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.

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 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.

This disclosure relates to a quantum computing device including multiple optical circuits, multiple photon number-resolved detectors (PNRs), a multiplexer, and an integrated circuit (IC). During operation, the optical circuits generate output states via 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 mixed resource states. The IC splices the mixed resource states into higher-dimensional cluster states, including states for fault-tolerant quantum computing.

The invention provides a thread pool protection system of an Elasticsearch cluster, and relates to the technical field of computers. The thread pool protection system comprises a flow monitoring module and a thread pool protection module, wherein the flow monitoring module is used for collecting first multi-dimensional data of an Elasticsearch cluster; the anomaly detection module is used for identifying an anomaly type corresponding to the first multi-dimensional data according to an anomaly detection strategy; the strategy decision execution module is used for acquiring and executing a first processing strategy matched with the exception type; the cluster state feedback module is used for continuously obtaining second multi-dimensional data of the Elasticsearch cluster after the first processing strategy is executed, and if it is determined that the execution result of the first processing strategy does not reach the standard on the basis of the currently obtained second multi-dimensional data, the Elasticsearch cluster is executed. If yes, the control range is expanded on the basis of the first processing strategy according to a preset retry strategy, strategy retry is carried out by keeping a preset core index in the first processing strategy unchanged, and the preset core index is an index associated with the service.

A computer-implemented method for quantum compiling for measurement-based unidirectional quantum computation is described. In the method, electronic processing means 2 are provided with digital information corresponding to a unitary operator or matrix U, representing a single-qubit or multi-qubit quantum operation to be carried out, through a measurement-based unidirectional quantum computation, by a quantum computer 1. The unitary operator or matrix are then decomposed in terms of Pauli operators, by the aforesaid electronic processing means 2. The method, then, comprises directly converting, by the electronic processing means 2, the unitary operator or matrix U, decomposed in terms of Pauli operators, into a graph G implementable on the quantum computer 1. The graph G represents a state of a cluster of qubits to be processed by the quantum computer 1 to carry out the desired said quantum operation. In the graph G, each graph vertex represents a respective qubit of the cluster and each edge of the graph corresponds to an entanglement to be imposed between the two qubits corresponding to the two vertices connected by the edge. The aforesaid step of directly converting comprises identifying the sub-set of entanglements to be implemented between qubits of the cluster and identifying the sub-set of qubits of the cluster to be measured, to obtain the graph G representing the state of said cluster, based on the criterion that the measurement of the aforesaid identified sub-set of qubits to be measured affects the output state of the other unmeasured qubits, through the aforesaid identified entanglements, in a manner corresponding to the quantum operation to be carried out. The method finally comprises the step of providing to the quantum computer 1, by the electronic processing means 2, as the result of the quantum compiling, a graph description information Q(G) describing the aforesaid obtained graph (G). A computer implemented method for performing measurement-based unidirectional quantum computation, based on the aforesaid computer-implemented method for quantum compiling, is also described. A quantum computing system, exploiting said computer-implemented methods, is also described.

The present disclosure relates to a system for forming continuous variable cluster states and quantum correlations with microwaves comprising a cryogenic chamber (161) with a cryocooler, a superconducting parametric circuit (110), SPC, comprising a resonator (111), a pumping circuitry (140) arrange to pump said SPC (110) with three or more microwave signals (260) to form a pump field (280) in the resonator (111), control circuitry (180) arranged to control the pumping circuitry (140). The cryocooler is arranged to prepare a vacuum state inside the cryogenic chamber (161), and the control circuitry (180) is arranged to control the pumping circuitry (140) to pump the SPC (110) with microwave signals (260). The pump field in the resonator (111) mixes with frequency components of the quantum fluctuations (240) at the vacuum level to generate quadrature-squeezed states of microwave electromagnetic waves (290) which form a continuous variable cluster state.

The application relates to the technical field of quantum security calculation, and discloses a multi-party multi-data summation method based on d-dimensional cluster states, a semi-honest third party is introduced to assist in completing summation calculation, and a two-way identity authentication process between participants and the third party is constructed by using a double one-way hash function, so that identity impersonation attacks are effectively prevented. In the multi-party multi-data summation stage, a multi-party quantum information interaction structure is established by using quantum entanglement correlation between d-dimensional Bell states and d-dimensional cluster states, and Bell measurement is used to realize safe coding and aggregation of private data of the participants. Meanwhile, detection particles from d+1 groups of complementary bases are randomly inserted in a quantum channel, which are used for detecting potential eavesdropping behaviors and ensuring the safety of the quantum communication process.

The embodiment of the invention provides a task processing method and device, equipment, a storage medium and a program product, and relates to the field of distributed technologies. The method comprises the following steps: acquiring execution state information of a task being executed; and stopping the execution of the task under the condition that the execution state information meets a preset condition. And according to the task feature data of the task and cluster state data of a target cluster executing the task, splitting the task to obtain a target workflow. And rescheduling the data processing resources of the target cluster to execute the target workflow based on the target workflow. According to the method, the task processing efficiency and the intelligent level of distributed processing 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.

A photonic quantum emitter is used to generate a quantum-mechanical GHZ state by generating a GHZ state comprising the photonic quantum emitter and at least three photons; and decoupling the photonic quantum emitter from the remaining cluster state by applying a quantum gate operation between the photonic quantum emitter and a new empty photonic mode to generate a new photon; and measuring the newly generated photon in the computational basis. A photonic quantum emitter is used to generate a quantum-mechanical cluster state, which has a linear arrangement of m photonic sections, wherein m>1, wherein each section has ni>0 photons (i=1, 2, . . . , m) and at least one section comprises more than one photon, by generating a cluster state comprising the photonic quantum emitter and a linear arrangement of m photonic sections; and decoupling the photonic quantum emitter from the remaining cluster state.

The invention discloses a cluster state acquisition method and device and a computer readable storage medium, and the method comprises the steps: searching a node identifier of a first node in a first cache according to a node identifier of a specified node, the node identifier representing a cluster attribute of the node, and the specified node and the first node belonging to the same target cluster; if the node identifiers of the first nodes exist in the first cache, acquiring the node identifiers of all the first nodes; and according to the node identifier of the specified node and the node identifier of the first node, concurrently connecting the specified node and the first node, obtaining node information of the specified node and node information of the first node, and storing the obtained node information in a second cache, and obtaining the state of the target cluster through the node information of each node stored in the second cache. The embodiment of the invention can simplify the acquisition process of the cluster state and improve the acquisition speed of the cluster state.