1020 results about "Quantum computer" patented technology

The invention relates to the technical field of quantum computing, and discloses a quantum circuit mapping method and system based on deep reinforcement learning, according to the method, an original logic quantum circuit is analyzed and simplified into a ZX-graph, then the ZX-graph is converted into a quantum circuit dependency graph, the computing complexity is remarkably reduced, and the quantum circuit mapping efficiency is improved. A large-scale quantum circuit mapping task can be processed within reasonable time, a Markov decision process environment is constructed through a quantum circuit dependency graph and quantum chip parameters, a deep reinforcement learning agent is trained by using the Markov decision process environment, and an optimal mapping strategy optimization model is obtained. Through the optimal mapping strategy optimization model, the corresponding optimal quantum bit mapping scheme can be output to the current to-be-mapped logic line, so that the method can be adapted to quantum chips of various topological structures, and the generalization ability and adaptability of the mapping scheme are improved.

The invention discloses a quantum bit mapping optimization method for hardware guidance and fidelity perception and a related device, and belongs to the field of quantum computing, and the method comprises the steps: defining each node in a hardware coupling graph of a target quantum processor as an initial community; evaluating all adjacent community pairs according to a reward function defined based on modularity and fidelity of candidate communities, selecting an optimal community pair for fusion, and taking the community with the largest current scale as an optimal candidate area; iteratively executing a community fusion step until a converged single community is obtained; and selecting an optimal candidate region with the physical quantum bit number greater than or equal to the logic quantum bit number of the quantum circuit to be mapped and the minimum scale, and outputting a mapping sub-graph. According to the method, through a recursive community fusion strategy, the operation range of the solver is restrained in a subspace with the scale greatly reduced and the quality better, the problem of combinatorial explosion caused by global search is fundamentally avoided, and the calculation overhead is greatly reduced.

The invention relates to the technical field of quantum computing, and provides a linear complexity quantum state preparation method based on tensor decomposition and a quantum circuit construction system.The high-dimensional tensor is decomposed into a series of low-rank core tensors through continuous singular value decomposition, each core tensor in a core tensor sequence is expanded into a unitary matrix, and the unitary matrix is used as a quantum circuit; the unitary matrix sequence is mapped to quantum lines coupled using adjacent qubits, and the quantum lines are run to prepare a target quantum state. Based on this, the line generated by the method can approximately or accurately prepare a target quantum state only by coupling adjacent quantum bits, and is perfectly adaptive to quantum chips of linear or grid topologies such as superconducting and semiconductor quantum dots and the like.

The invention discloses a certificateless post-quantum TLS handshake method based on a KEM and an IBE. According to the method, the IBE public key is adopted to encrypt the temporary KEM public key, the key negotiation function and the identity authentication function are integrated in the single calculation operation, the protocol interaction structure is simplified, and certificateless two-way implicit authentication and forward security key negotiation are achieved. In a two-way identity authentication scene, the client can send the application data only by one round-trip delay, so that the connection establishment efficiency is effectively improved. By adopting the method disclosed by the invention, the attack of a quantum computer can be resisted, and the technical defects of the traditional and existing post-quantum TLS protocol in the aspects of quantum security resistance, communication overhead and handshake delay are overcome.

The invention provides a quantum measurement and control system supporting global feedback. The quantum measurement and control system comprises a plurality of measurement and control devices which are connected in a tree structure. The measurement and control equipment in the tree structure comprises feedback board cards and a control chip, the feedback board card located at a root node obtains board card configuration parameters through a first transmission port, and the feedback board card located at a child node receives the board card configuration parameters from a second transmission port of the feedback board card of an upper-level node through a second transmission port; the feedback board card is used for sending a feedback signal to the control chip based on the board card configuration parameters and generating board card configuration parameters associated with the child nodes; the control chip is used for responding to the feedback signal to generate a regulation and control waveform signal of the quantum bit, providing the regulation and control waveform signal to the quantum computer, receiving a quantum state signal fed back by the quantum computer, processing the quantum state signal and providing a processing result to the feedback board card; and the feedback board card is also used for receiving a processing result provided by the control chip and a processing result provided by the measurement and control equipment of the next node.

The invention relates to the technical field of IT support, and provides a time sequence processing method, device and equipment adopting a quantum pulse neural network, and the method comprises the steps: obtaining time sequence data which comprises network alarm data, network equipment performance index data and network operation and maintenance work order data; encoding the time sequence data into a first quantum state by using a quantum preprocessing layer, inputting the first quantum state into a pulse neural network layer, converting the first quantum state into a time sequence pulse sequence, and processing the time sequence pulse sequence to obtain an output result; by utilizing a quantum attention enhancement mechanism, calculating attention weight of an output result in a quantum state space, and weighting to obtain a second quantum state; and decoding the second quantum state by using the hybrid decoding layer to obtain a final prediction result. The final prediction result is used for realizing fault root cause positioning, abnormal work order identification or network service quality prediction. According to the method, the parallelism of quantum calculation and the superposition characteristic of the quantum state are utilized, and the calculation efficiency can be improved when large-scale time sequence data are processed.

The embodiment of the invention provides a task processing device, a task processing method, electronic equipment and a storage medium. The task processing device comprises a calculation scheduling core particle and a function core particle which are integrated in a single package, the calculation scheduling core particle comprises a hardware subsystem and a calculation core, and the hardware subsystem is configured to receive and analyze task information to obtain at least one task. And assigning at least one task to at least one of the functional core and the computing core according to the task type; the computing core is configured to execute computing operations according to tasks allocated by the hardware subsystem, and the functional core particles comprise at least one of a quantum computing management core particle and a ray tracing core particle. According to the task processing device, through a unified task scheduling distribution mechanism, the adaptive capacity of the task processing device in an end-side mixed task scene is remarkably improved, so that a single computing chip can efficiently support various heterogeneous workloads.

The invention discloses a variable component sub-line compilation optimization method and a related device, and belongs to the technical field of quantum computing, and the method comprises the following steps: if a variable component sub-line is not compiled for the first time and a mapping relation is unchanged, calling quantum hardware resources to execute the compiled variable component sub-line so as to update logic gate parameters in the variable component sub-line, the mapping relation is used for representing the corresponding relation between the logic bits in the variable component sub-lines and the physical bits in the quantum hardware resources. According to the method, the mapping relation result is stored during the first compiling, and a mechanism for judging whether the compiling is the first compiling is introduced into the compiling process, so that the tedious remapping operation is avoided, the time and computing resources required by the compiling process are remarkably reduced, the parameter updating can be quickly responded, and the execution efficiency of the variable component sub-line is improved.

An object detection device may include a variational autoencoder (VAE) configured to encode image data to generate a latent vector, and decode the latent vector to generate new image data. The object detection device may also include a quantum computing circuit configured to perform quantum subset summing, and a processor. The processor may be configured to generate a game theory reward matrix for a plurality of different deep learning models, cooperate with the quantum computing circuit to perform quantum subset summing of the game theory reward matrix, select a deep learning model from the plurality thereof based upon the quantum subset summing of the game theory reward matrix, and process the new image data using the selected deep learning model for object detection.

A method of generating an entangled state for quantum computing includes providing respective qubit from a plurality of Bell pairs to a plurality of probabilistic entangling gates according to a predefined graph structure. The success probability for generating respective qubits of the entangled state using the probabilistic entangling gates is greater than a percolation threshold for the predefined graph structure.

The present invention relates to a quantum computer comprising NV centers in diamond as quantum bits, nuclear spins of nuclei strongly coupled to the NV centers, strongly constrained by these NV centers, as nuclear quantum bits (hereinafter referred to as strong nuclear quantum bits), and nuclear spins, weakly constrained by these NV centers, of nuclei weakly coupled to the NV centers as nuclear qubits (hereinafter referred to as weak nuclear qubits). The resonance energy for coupling the weakly coupled nuclear spins of the nuclei weakly coupled to the respective NV centers depends only weakly on the respective spin state of the electron configuration of the NV centers weakly coupled to that nuclear spin. The control mode of the quantum computer on nuclear spin under weak constraint of the NV center is different from the control mode of the quantum computer on nuclear spin under strong constraint of the NV center. To this end, the quantum computer preferably has a kernel qubit database that stores information about whether the kernel qubits are strongly coupled or weakly coupled.

Aspects of the present disclosure relate generally to systems and methods for detecting change in images using a quantum information processing (QIP) system. The method includes implementing a quantum circuit in the QIP system, the quantum circuit comprising at least an ancilla qubit denoted as |a> and qubits denoted as image qubit conditions on a |0> state and a |1> state of the ancilla qubit |a>. The method also includes loading a reference image and a test image onto image qubits controlled on the |0> state and the |1> state of the ancilla qubit |a> in the quantum circuit. The method further includes determining a state of the image qubits after measuring |1> on the ancilla qubit for a predetermined number of times, wherein the reference image is detected to be different from the test image when the state of the ancilla qubit measures |1>.

Provided is a quantum computing method for obtaining an optimal solution of a problem with multiple discrete variables, wherein the problem is represented by a cost function, the method comprising:—generating a graph structure from the cost function,—dividing the graph structure into at least two disjunct subgraph structures, wherein each subgraph structure comprises a subset of the multiple variables,—mapping each subgraph structure to a local cost function represented as local cost Hamiltonian,—determining, for each local cost Hamiltonian, all eigenstates corresponding to an energy below a predetermined cut off energy using a quantum processing device, wherein each variable of the subset of multiple variables is represented by a qubit of the quantum processing device,—recombining the determined eigenstates, and-approximating a ground state from the recombined eigenstates, wherein the ground state represents the optimal solution.

The invention discloses an Internet of Things device anti-quantum password migration method based on a national cryptographic algorithm, and relates to the field of data security, the method comprises the following steps: configuring a Hash agility module taking a national cryptographic SM3 as a default algorithm, and dynamically switching to an anti-quantum or compatibility alternative algorithm based on monitoring; carrying out identity authentication and temporary key negotiation by adopting SM2, and generating a key pair only used for a single session; deriving a session key based on the key pair, and adopting a differential double-layer signature verification mechanism according to the data security level; for firmware updating, a differential package is generated through function level differential analysis, and atomic updating and rollback are achieved through A / B system partition. According to the method, quantum computing threats are effectively resisted, national security compliance and forward security are ensured, the volume of an update package is remarkably reduced through a resource optimization technology, memory occupation is reduced, verification efficiency is improved, and the method is particularly suitable for resource-limited Internet of Things equipment.

Disclosed are various embodiments for quantum-enhanced multi-modal large language model (LLM) security protection. Various embodiments can receive a request to cause an LLM to process a text prompt and a multimedia input. The prompt request can include the text prompt and the multimedia input, which are comprised of multimedia bits. Various embodiments can convert the multimedia bits of the multimedia input into quantum bits (qubits) of a quantum multimedia representation. Various embodiments can then direct a quantum computing device to identify the presence of one or more attributes (e.g., threats, malware, etc.) within the quantum multimedia representation that could be harmful to the LLM, if processed. Various embodiments can then prevent the LLM from processing the text prompt and multimedia input in response to identifying the presence of the one or more attributes within the quantum multimedia representation.

A radio frequency (RF) signal classification device may include an RF receiver configured to receive RF signals, a quantum computing circuit configured to perform quantum subset summing, and a processor. The processor may be configured to generate a game theory reward matrix for a plurality of different deep learning models, cooperate with the quantum computing circuit to perform quantum subset summing of the game theory reward matrix, select a deep learning model from the plurality thereof based upon the quantum subset summing of the game theory reward matrix, and process the RF signals using the selected deep learning model for RF signal classification.

The embodiment of the invention provides a secure communication network system and method based on a quantum key, and the system comprises a quantum key distribution module which is used for building and updating a symmetric key between communication nodes through a quantum key distribution protocol; the quantum encryption communication module is used for encrypting and decrypting communication data by using the symmetric key; the quantum algorithm acceleration module is used for deploying a quantum algorithm in machine learning and optimization calculation tasks to realize calculation acceleration; the hybrid computing scheduling module is used for coordinating task allocation and resource scheduling between the classical computing resources and the quantum computing resources; and the block chain verification module is used for recording life cycles of key distribution, communication sessions and calculation tasks and ensuring non-tampering and traceability of the data. A key distribution and encryption communication basis of an information theory security level is constructed, and long-term data confidentiality is provided for a network. And the complex service processing capability and efficiency of the whole network system are obviously improved.

A method in an illustrative embodiment comprises configuring a machine learning system with a multi-layer network architecture comprising at least one neural network and one or more additional network layers, training the neural network at least in part utilizing quantum sampling performed by a quantum computing device, obtaining data characterizing a monitored system, processing at least a portion of the obtained data through at least a portion of the multi-layer network architecture of the machine learning system to generate a prediction of at least one characteristic of the monitored system from the obtained data, and executing at least one automated action relating to the monitored system based at least in part on the generated prediction. The neural network may comprise, for example, a deep belief network (DBN) that includes at least first and second restricted Boltzmann machines (RBMs) of respective first and second different types, or at least one conditional restricted Boltzmann machine (CRBM).

The invention provides a mobile payment end-to-end encryption communication method based on anti-quantum computing, and the method comprises the steps: obtaining payment transaction data of a client, splitting the payment transaction data according to payment fields, binding a corresponding user operation behavior tag for each payment field, and generating a field behavior pair; encrypting by using an anti-quantum encryption algorithm to generate a disturbance encryption ciphertext set; combining the disturbance encryption ciphertext set with the user operation behavior label and the channel number to form a structured ciphertext unit, and transmitting the structured ciphertext unit to a server; and determining whether the decrypted payment field and the user operation behavior tag conform to a predefined legal transaction process, if so, executing the transaction, and otherwise, refusing the transaction. Through the collaborative design of coding, replacement, encryption, label verification and inverse replacement decryption, anti-quantum security and transaction behavior control are deeply fused, the deployability and reproducibility of the scheme are ensured, and the overall security level of mobile payment is remarkably improved under the existing hardware condition.

The invention discloses a method and system for determining the reaction activity of material molecules based on quantum computing, and relates to the technical field of material performance analysis based on quantum computing, and the method comprises the following steps: generating a secondary quantization molecular Hamiltonian based on a target material molecular structure; traversing non-zero coefficient excitation terms in the molecular Hamiltonian, and screening an excitation operator conforming to the symmetry of a molecular point group as a target excitation operator; generating symmetric unitary coupling cluster single-double excitation simulation according to the target excitation operator; constructing a quantum circuit based on the configuration; and determining the reaction activity of the target material molecule by using the quantum circuit. According to the method, traditional manual symmetry analysis is avoided, professional knowledge is not needed, and the operation process is simplified. The method is systematized, easy to program and implement, high in universality and capable of being automatically expanded to any molecule, the design cost is remarkably reduced, and the molecular energy level solving efficiency is improved.

The invention provides a resource scheduling method, electronic equipment, a storage medium and a computer program product. The method comprises: obtaining global information of a target computing power network, the target computing power network comprising a plurality of nodes, the plurality of nodes comprising a plurality of user nodes, a plurality of network nodes and a plurality of computing nodes, the global information at least comprising state information of the plurality of nodes and state information of a plurality of transmission paths, each transmission path comprises a user node and a computing node; constructing a resource scheduling model of the target computing power network based on the global information of the target computing power network; converting the resource scheduling model into a quantum computing model; constructing a quantum circuit based on the quantum calculation model; and determining a resource scheduling result of the target computing power network according to the measurement result of the quantum circuit. Through the scheme provided by the invention, the global resource scheduling strategy can be quickly obtained.

The invention provides a quantum enhanced real-time multi-mode traffic network optimization method and system, and belongs to the technical field of intelligent traffic control and optimization. Comprising the following steps: carrying out edge calculation and preprocessing on multi-source motion data in a traffic network to generate traffic state characteristic data; a quantum calculation model is adopted to generate signal schemes for different traffic control targets; constructing a digital twinborn model to verify the signal scheme; converting the verified signal scheme into a traffic signal control instruction, and issuing the traffic signal control instruction to a traffic signal controller; and continuously monitoring the traffic condition, and feeding back the monitoring result to the quantum calculation model so as to adjust the signal scheme in real time. According to the method, the multi-mode traffic flow can be coordinated efficiently in real time in a large-scale urban network, the emergency quick response and closed-loop self-adaption capabilities are achieved, and the actual requirements of the future smart city and vehicle road collaborative development can be met.

The invention relates to the field of information security, and discloses a cross-domain quantum key charging method and system.The method comprises the steps that a first key charging site responds to a first service terminal request, analyzes a target terminal identifier and reports step by step when cross-domain judgment is conducted; the cross-domain key charging management center generates a cross-domain master key based on a quantum true random number according to the target attribution, and distributes the cross-domain master key to a source domain key charging service center and a target domain key charging service center through a quantum secure channel; the service centers of the two parties negotiate a derived session key by using the shared master key and issue the derived session key; and after receiving the session key, the site generates a service key in combination with the service context and charges the service key to the terminal. The system also integrates a dynamic request triggering mechanism based on consumption rate, a hybrid encryption channel mechanism and a storage unit physical overwriting destruction mechanism. According to the method, a hierarchical cascade architecture is adopted, and a quantum entropy source and a post-quantum algorithm are combined, so that the problem of trust transfer between heterogeneous domains is solved, and quantum computing attack-resistant key full-life-cycle safe closed-loop management is realized.

The invention relates to a key management method and device based on a quantum security chip carrier, and relates to the technical field of quantum computing, a unique UID is generated through a quantum random number generator in combination with a PUF technology, a mapping relation is established, sub-keys are derived in a layered mode and stored in a partitioned mode, and the key management efficiency is improved. A ternary binding mechanism of a chip unique identity, a quantum random entropy source and a storage environment fingerprint is constructed, through integrity verification, bidirectional identity authentication and a quantum secure transmission channel, key full-life-cycle security control is realized, quantum attacks and security threats are effectively resisted, and the security, credibility, traceability and suitability of key management are improved.

Apparatus and method for a low-power quantum controller. For example, one embodiment of an apparatus comprises: a low-power quantum control chip to process a first portion of quantum program code associated with a quantum computing application, the low-power quantum control chip configurable within a dilution refrigeration unit, the low-power quantum control chip comprising: an interface to couple the quantum control chip to a computer which is to execute a second portion of the quantum program code associated with the quantum computing application; a Static Random Access Memory (SRAM) to store the first portion of quantum program code; a compute unit to execute the first portion of quantum program code during execution of the quantum computing application and responsively generate control signals; routing hardware logic to route the control signals; a plurality of digital signal processor (DSP) units coupled to the routing hardware logic, at least one DSP of the plurality of DSPs to receive one or more of the control signals and responsively generate analog qubit control signals to control qubits of a quantum processor.

The invention discloses a task processing method and device based on quantum computing, equipment and a storage medium. The method comprises the steps of determining a maximum cut problem corresponding to a target task and a weighted undirected graph of the maximum cut problem; performing community detection division on the weighted undirected graph to obtain a plurality of community sub-graphs; mapping the community sub-graph into a sub Hamiltonian and constructing a parameterized quantum circuit; updating parameters of the parameterized quantum circuit by adopting a gradient descent algorithm to minimize a global Hamiltonian expected value, and outputting a binary string of a quantum state corresponding to the global Hamiltonian expected value as an initial solution; generating a plurality of candidate solutions for the initial solution based on a neighborhood search algorithm, calculating cut values of the initial solution and the candidate solutions, and selecting a better feasible solution based on the optimal cut value; and applying a preset disturbance operator in the parameterized quantum circuit to construct a disturbance quantum circuit, updating parameters of the disturbance quantum circuit by adopting a gradient descent algorithm, and outputting a binary string of a quantum state corresponding to the global Hamiltonian expected value as a final solution of the target task by minimizing the global Hamiltonian expected value after disturbance.

Decentralized information-security (IS) mitigates against cross-channel threats vectors with a photonic quantum computing machine (PQCM). Threat signals are communicated to consortium members. Live model libraries regarding the threats, characteristics, metadata, model solutions, etc. are in distributed ledgers. PQCM extracts metadata and analyzes permutations to identify configuration(s) with the highest propensity to mitigate the threat. PQCM determines optimized set(s) of the threat-vector mitigation models for the configuration(s). PQCM auto-generates, dynamically by AI / ML based on the optimized set, IS rules for the configuration. Updated threats, threat characteristics, model configurations, IS rules, etc. for the cross-channel threat can be stored in distributed ledger blockchains, shared with consortium members, and deployed to prevent the threat. Nodal consensus algorithms may be used to reach agreement amongst consortium members to independently confirm threat signal validity, best model combinations, highest propensity scores, and proposed dynamically generated IS rules to address the threat.

Systems and methods for adaptive calibration of quantum computing systems are disclosed. A system can include one or more processors coupled to non-transitory memory and configured to obtain telemetry data from a quantum processor of a quantum computing system, generate a spatio-temporal graph data structure based on the telemetry data and operational parameters, and provide at least a portion of the graph as input to a graph neural network (GNN) to generate parameter ranges for operation. The system can select a first set of test parameters using a Bayesian optimization function, execute calibration experiments to generate calibration results, generate updated operational parameters based on the results, and control the quantum processor according to the updated parameters.

The invention relates to a multi-modal sentiment analysis method based on a large language model and quantum computing, and belongs to the technical field of multi-modal feature alignment and fusion. The multi-modal sentiment analysis method comprises the steps of constructing a multi-modal sentiment analysis data set, extracting text features and multi-granularity image sentiment description features by using the large language model and a target detection technology, carrying out multi-level fusion on the image emotion description and the original text to obtain cross-modal potential emotion association information; designing a cross-modal feature fusion mechanism based on a parameterized quantum circuit, and performing efficient fusion on multi-modal features by using quantum superposition and quantum entanglement features to generate unified emotion feature representation; performing sentiment classification based on the sentiment feature representation, and outputting a sentiment analysis result; according to the method, cross-modal potential emotion association can be effectively captured, the fusion efficiency and expression ability of multi-modal features are improved, the method is remarkably superior to the prior art in emotion analysis tasks, and the robustness and accuracy are high.

The invention discloses a quantum circuit compiling method based on neutral atom hardware topology and a related device, and belongs to the technical field of quantum computing, and the method comprises the following steps: obtaining characteristic parameters of a quantum circuit to be compiled; forming a feature vector by the obtained feature parameters of the quantum circuit, and inputting the feature vector into a pre-trained classical neural network to determine a neutral atom hardware topological structure to be subjected to mapping operation; wherein the pre-trained classical neural network is used for determining a neutral atom hardware topological structure of the quantum circuit to be compiled based on the characteristic parameters of the quantum circuit; executing mapping operation on the quantum circuit based on the neutral atom hardware topological structure; according to the quantum circuit compiling method of the neutral atom hardware topological structure, the diversified requirements of different application fields are met, the new method can provide more technical adaptation routes for a future multi-back-end quantum computing framework, and the robustness and flexibility of a quantum computing system are improved.