1963 results about "Quantum computer" patented technology

The invention discloses a data annotation method and system of a collaborative computing architecture based on quantum computing, and belongs to the field of data annotation. The method comprises the steps that S1, multi-modal data are input and preprocessed; s2, extracting features of each mode after preprocessing; s3, coding the features of each mode into a quantum state, and carrying out mode fusion; s4, performing label reasoning on the quantum state after modal fusion, and performing label constraint optimization by using a quantum approximate optimization algorithm; s5, based on a quantum Bayesian network or an approximate causal graph generation method, generating explanation according to a modal contribution causal path, and deducing marginal contribution of each modal to final label prediction by using a joint probability measurement result; and S6, outputting a labeling result. According to the method, a quantum-classical cooperative computing architecture is designed, the efficiency and accuracy of multi-modal data labeling are remarkably improved, the interpretability, the distributed processing capacity and the high-dimensional feature modeling capacity of the system are enhanced, and a brand new solution thought is provided for development of the multi-modal labeling technology.

The invention provides a multi-party collaborative anti-quantum signature method and system based on homomorphic Hash, and relates to the technical field of digital signatures, the system comprises a plurality of participants and a verification party, and the method is specifically as follows: each participant generates a pair of public and private keys, the public key is composed of a total public key, a total signature matrix and a total Hash matrix of all participants; based on the public and private keys, all participants perform multi-party signature on the target message through a homomorphic hash function, and a generated signature is composed of total hash challenge values of all participants, total response vectors of all participants and commitment value high-order difference values of all participants; according to the signature, the verifier recovers the high order of the total commitment value, further calculates the total hash challenge value, and verifies the validity of the signature through comparison of the total hash challenge value; according to the method, multi-user collaborative signature is realized, and the security of resisting malicious opponents under a quantum computer is obtained.

The invention discloses a federated learning method based on quantum transfer learning, relates to the cross technical field of quantum computing and federated learning, and aims to solve the problem of performance bottleneck of traditional federated learning under non-independent identically distributed data. The local model of each client is fused with a classic convolutional layer and a quantum convolutional layer; during local training, firstly, classic features are extracted by a classic convolutional layer, and then the classic features are coded and input into a quantum convolutional layer to generate quantum features; and the two features are spliced and then classified, and model parameters are uploaded. And the server side adopts a FedAvg algorithm to aggregate parameters so as to update the global model. According to the method, a transfer learning mechanism is introduced to optimize the initialization of the quantum layer, and an experimental result shows that the classification performance and robustness of the method are remarkably superior to those of a traditional federated CNN model on a non-IID image data set, and the method is particularly suitable for a privacy protection cooperative computing scene.

The application discloses a ciphertext decryption method and related equipment applied to ciphertext encrypted according to an RSA algorithm, and the method comprises the following steps: acquiring a large number in ciphertext and a public key of the ciphertext; selecting a number smaller than the large number as a base of a discrete logarithm problem, selecting 1 as a modulus power operation result corresponding to the base, and converting the base and the modulus power operation result into an initial quantum state; inputting the initial quantum state into a quantum computing module for solving the discrete logarithm problem to obtain a first target quantum state in which a solution result of the discrete logarithm problem is stored; extracting the solution result from the first target quantum state, and calculating a private key of the ciphertext based on the solution result; and decrypting the ciphertext based on the private key to obtain plaintext of the ciphertext. Through the technical scheme, the private key can be recovered according to the disclosed information in the case that the private key is not disclosed, and then the ciphertext is decrypted, so that the related technical blank is filled.

The invention discloses a switch load balancing method based on fuzzy logic control, and the method comprises the following steps: S1, monitoring a network state in real time through quantum sensing equipment, and obtaining related parameters; s2, transmitting the parameters to a fuzzy logic controller for processing; s3, generating a load distribution strategy according to a predefined rule; s4, transmitting the preliminary strategy to each switch node in the block chain network, and recording related data; s5, verifying the data by using a distributed consensus mechanism of the block chain; s6, dynamically evaluating a node trust value based on an enhanced fuzzy trust model, and selecting nodes meeting requirements to participate in a load balancing game decision; s7, carrying out cooperative calculation on the selected nodes by utilizing a game theory cooperation mechanism, and generating a globally optimized load distribution strategy; and S8, optimizing a load distribution strategy through a quantum genetic algorithm, and performing automatic execution through an intelligent contract. According to the method, the advantages of fuzzy logic, the block chain and quantum computing are combined, and the intelligence and safety of load balancing are improved.

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 an anti-quantum serial digital certificate implementation method. The method comprises the following steps: generating a traditional cryptographic algorithm key pair and an anti-quantum cryptographic algorithm key pair; submitting a certificate request; splicing the traditional cryptographic algorithm public key and the anti-quantum cryptographic algorithm public key to form a dual-cryptographic algorithm public key, and generating a digital certificate according to the dual-cryptographic algorithm public key; signing the digital certificate by using a traditional cryptographic algorithm private key and an anti-quantum cryptographic algorithm private key; and splicing and combining the traditional cryptographic algorithm signature value and the anti-quantum cryptographic algorithm signature value into a dual-cryptographic algorithm signature value, putting the dual-cryptographic algorithm signature value into a signature value item of the digital certificate, so that the digital certificate forms a hybrid serial digital certificate, and returning the hybrid serial digital certificate to the client. The invention further discloses a device for implementing the quantum serial digital certificate implementation method, computer equipment and a storage medium. According to the method, the problems of poor compatibility, low storage efficiency, slow verification speed and the like of the existing digital certificate under the threat of quantum computing are solved.

The invention relates to the technical field of quantum computing, and provides a polariton quantum computing simulation method and related device.The method comprises the steps that parameterized quantum circuits are generated based on micromodels used for describing polaritons for all to-be-computed excitation states respectively, and the parameterized quantum circuits are generated based on initial Hamiltonian of polaritons in a ground state; the target Hamiltonian amount of the polariton in the current excitation state is obtained, then the value of each parameter is adjusted at least once, and the target energy of the corresponding excitation state is obtained. In the primary adjustment process, parameter updating is carried out on the quantum circuit, a reference quantum state of the corresponding excitation state is obtained by utilizing the updated quantum circuit, reference energy of the corresponding excitation state is obtained based on the reference quantum state and in combination with the target Hamiltonian, and then when a set convergence condition is met, the target Hamiltonian is obtained. And taking the reference energy as target energy of the corresponding excited state. The polaritons are simulated through the quantum computer, and the simulation efficiency is improved.

The invention discloses an equipment identity authentication and data encryption method and related equipment thereof, and the comprehensive effects of identity credibility, key security superposition and channel encryption capability enhancement are realized by introducing a mixed key system and a double digital signature mechanism into an equipment identity authentication and data encryption process. Meanwhile, a national cryptographic algorithm and a post-quantum algorithm are adopted, and the two cryptographic systems cooperate in parallel in an authentication and encryption link, so that the whole system has a robust anti-attack ability in both a traditional computing environment and a potential quantum computing environment, the accuracy of identity authentication is ensured by a dual signature mechanism, and the counterfeiting difficulty and tampering detection ability are remarkably improved. According to the method, the bidirectional verification chain is constructed in the authentication process, the safety is guaranteed by using the mixed key in the session stage, the safety robustness and the expandability of the system are improved through multi-layer protection, and the whole-process protection of the identity, the key and the data is realized, so that the safety robustness and the expandability of the system are integrally improved.

A quantum computing service provides a quantum algorithm development kit that enables a customer to define a quantum task, a quantum algorithm, or a quantum circuit using an intermediate representation. The quantum computing service is then configured to automatically translate the quantum task, quantum algorithm, or quantum circuit into a specific representation specific to a particular quantum computing technology selected by the customer to be used to execute the customer's quantum task, quantum algorithm, or quantum circuit.

The invention provides a nonlinear data generation and processing method based on light quantum and a light quantum computer, and the method comprises the steps: obtaining a nonlinear function and attribute information of a nonlinear layer; according to the frequency spectrum number and the attribute information of the nonlinear function, constructing an initial light quantum circuit; measuring the initial light quantum circuit, and determining a target function corresponding to the initial light quantum circuit according to a measurement result; loss information of the target function is determined, whether the initial light quantum circuit is applied or not is determined according to the loss information, and if yes, the initial light quantum circuit serves as a target light quantum circuit; and performing operation on input data of the nonlinear layer based on the target light quantum circuit. According to the method, the low-energy-consumption characteristic of photon calculation, the nonlinear characteristic of light quantum calculation and the general programmable capability of electronic calculation can be fused, and high-energy-efficiency calculation can be carried out on input data of a nonlinear layer. In addition, the method also has the advantages that the complexity of a quantum circuit is smaller, and the participation of a nonlinear optical device is not needed.

The invention discloses a battery fault diagnosis method and device, and belongs to the technical field of battery management. The method comprises the following steps: synchronously acquiring multi-dimensional signals in a battery operation process through a multi-modal sensor array; performing encoding processing on the multi-dimensional signal through a pulse encoder to obtain a standardized pulse time sequence; based on a federated transfer learning framework, training the quantum pulse neural network in combination with a physical constraint loss function to obtain a trained battery fault diagnosis model; inputting the standardized pulse time sequence into the battery fault diagnosis model, and calculating a battery fault category and a thermal runaway probability through quantum inference; and triggering a corresponding security policy according to the thermal runaway probability and a preset threshold. By adopting the technical means of multi-mode signal fusion, quantum calculation acceleration and distributed learning, accurate and rapid diagnosis of battery faults is realized, and the method has the advantages of high precision, low delay and low power consumption.

The invention provides a heterogeneous computing resource scheduling method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-scheduled computing task, and extracting operator features of the to-be-scheduled computing task; splitting the to-be-scheduled calculation task into a first sub-task suitable for being executed by a graphics processor and a second sub-task suitable for being executed by a quantum calculation unit according to the operator characteristics; a first resource group is matched for the first subtask in a preset resource group set, a second resource group is matched for the second subtask, and the preset resource group set comprises the first resource group and the second resource group which are obtained by dividing a heterogeneous computing resource pool; the first resource group comprises at least one graphics processor computing unit, and the second resource group comprises at least one quantum computing unit; and scheduling the first sub-task in the first resource group, and scheduling the second sub-task in the second resource group.

The invention provides an integrated feature selection method and product based on quantum computing and Bayesian optimization, and relates to the technical field of data processing. According to the embodiment of the invention, an original mathematical integration model is converted into a QUBO model which can be solved by quantum calculation, and the QUBO model is decomposed into a joint optimization discretization step length optimization sub-problem and a parameterization QUBO sub-problem. In a mixed quantum classical optimization algorithm framework, a self-adaptive Q learning model is designed on the upper layer, and proper sub-problems can be dynamically selected in the search process. In the lower layer, a dropout Bayesian optimization algorithm is provided for effectively optimizing the high-dimensional discretization step length in each iteration. A CIM-based quantum computing method is adopted, and a parameterized QUBO sub-problem under the given discretization step length is efficiently solved. According to the method provided by the embodiment of the invention, the feature selection problem can be successfully and efficiently solved, and the selected features of the credit classification problem and the credit classification model for classification based on the selected features can be obtained.

The invention provides a vibration-temperature correlation fault early warning method based on multi-sensor fusion, and relates to the technical field of rotating machine fault diagnosis, and the method achieves the efficient diagnosis of the rotating machine fault through the three-field coupling analysis of vibration, temperature and torque. Multi-dimensional health indexes are introduced, sensor data of different dimensions are normalized into a monitorable numerical value, and the health state of equipment is reflected in real time through a dynamically optimized weight coefficient. A core depth time sequence neural network model is combined with an attention mechanism and a Transform coding layer, the problem of long-term dependence is effectively solved, and the fault recognition precision is improved. According to the method, future innovation directions such as cross-device collaborative diagnosis, quantum computing acceleration and digital twinborn visualization are also exhibited, and the method has important industrial application value.

The invention discloses an SM2 collaborative signature and encryption and decryption system and method fusing anti-quantum characteristics, and relates to the field of cryptography and information security. According to the method, an anti-quantum cryptographic algorithm and a national cryptographic SM2 cooperative computing framework are deeply integrated, and a key security system is constructed: SM2 sub-private keys, anti-quantum key pairs and public keys are acquired and generated through an anti-quantum algorithm software and hardware enhancement module, and the private keys are encrypted and stored and are regularly alternated; on the basis of anti-quantum collaborative signature, encryption and decryption modules, an anti-quantum verification mechanism is embedded, and data is transmitted in combination with a national secret TLCP protocol, so that signature, encryption and decryption operations are completed; the equipment integration and dynamic security control unit monitors a security state, calculates a threat index to generate a protection strategy, and dynamically switches a security mode, so that the problems of insufficient security, vulnerability to attacks and data tampering of a traditional SM2 algorithm under the threat of quantum computing are effectively solved; and the long-term anti-attack capability and the operation reliability of the equipment in a high-security demand scene are remarkably improved.

The invention relates to the technical field of data security, in particular to a quantum cryptography migration resisting method and system for a power system, and the method comprises the steps: carrying out the quantum threat risk assessment of a communication link based on the layering and partitioning architecture features of the power system; obtaining attribute data of the encryption component, and performing parallel migration risk analysis on the encryption component in combination with a quantum threat risk assessment result to generate an anti-quantum migration risk matrix; carrying out compatibility evaluation on a traditional public key algorithm and an anti-quantum cryptography algorithm based on algorithm features, and constructing a double-track encryption migration strategy; dynamically adjusting a double-track weight ratio, and constructing a double-track encryption hierarchical migration strategy based on a control hierarchy to which a communication link belongs; and executing the double-track encryption layered migration strategy and monitoring the migration effect, and performing self-adaptive correction on the double-track encryption layered migration strategy based on the migration effect. According to the method, a quantum threat assessment and double-track encryption layered migration mechanism is constructed, so that safe and smooth migration of the power system under the threat of quantum computing is realized.

Methods, systems, and apparatus for verifying quantum randomness. In one aspect a computing device receives data from a quantum computer. The data includes a timestamp, a binary-valued vector, and a predicted response to a challenge string. The predicted response to the challenge string is generated using a regression model that has been trained to fit LPN instances as a linear function, where the LPN instances are constructed using a physically unclonable function. The computing device determines a parity of a random number output by a public source of randomness at a time specified by the timestamp and performs either a generation round or a test round based on the parity to verify the randomness of a bit generated by the quantum computer. The generation round uses the data to verify a preimage of the binary-valued vector and the test round uses the data to verify an equation.

In some aspects, a cloud-based computer system includes: a quantum computing system comprising a quantum processing unit; a container management and execution system configured to receive a container and execute a program within the container; and a communication channel between the container management and execution system and the quantum computing system for providing program instructions to the quantum computing system. The container management and execution system and the quantum computer system may be co-located in a data center or located in different data centers. The latency of the communication channel may be selected to optimize cost for a required computer performance.

The invention relates to the technical field of quantum computing and molecular electronic devices, in particular to a probabilistic bit device based on polyfluoroaryl methyl free radicals and a preparation method of the probabilistic bit device. According to the probabilistic bit device, the coupling efficiency of molecules and electrodes is improved by virtue of the characteristic that the paramagnetic unpaired electron spin state of tri (polyfluoroaryl) methyl free radical molecules can be used as a random expansion physical entropy source and high electronegativity and stability formed by modification of a plurality of strong electron-withdrawing fluorine atoms in the molecules. During the operation period of the device, the spin fluctuation can efficiently regulate and control tunneling current passing through molecules, promote random conversion between output high and low current states, show excellent random binary fluctuation characteristics, and simultaneously have high sensitivity and long coherence time. Compared with the prior art, the device has remarkable advantages in the aspects of device stability, energy efficiency ratio and external field controllability. The preparation method is simple and convenient to operate, mild in reaction condition and beneficial to large-scale production.

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 belongs to the field of quantum computing, and particularly relates to a distortion correction optimization method and device for a quantum measurement and control link, and the method comprises the steps: applying a frequency control signal for loading a target pre-distortion waveform on a to-be-corrected quantum measurement and control Z link; setting a first logic gate for quantum state operation on an XY control line of the selected quantum bit; obtaining the fidelity of the quantum state output by the selected quantum bit; in response to the fact that the fidelity does not reach the preset standard, updating the pre-distortion waveform, and returning to execute a frequency control signal for applying and loading the target pre-distortion waveform signal on the quantum measurement and control Z link to be corrected; and setting a first logic gate for quantum state operation on an XY control line of the selected quantum bit until the fidelity reaches a preset standard. According to the invention, distortion correction can be rapidly and effectively carried out.

Provided are computer-implemented methods and quantum computing systems for preparing computational states representing quantum states of a physical system, including performing a computational evolution of the state and then determining physical properties of the system using the time-evolved computational state. Hamiltonian dynamics of observables are computed on a quantum computer to provide information about the physical system represented by the Hamiltonian. Low energy electronic structure states of a physical system are prepared using adiabatic evolution. The energy of an equilibrium quantum state of a physical system is determined using a time-evolution operator. The energy of an eigenstate of a physical system is indirectly determined by evaluating expectation values of a time-evolution operator averaged across multiple shots for randomly-generated quantum circuits. Example methods enable calculation of the energy of an evolved computational state with chemical accuracy, due to avoiding discretization errors, with a smaller circuit depth than known alternatives.

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 UCCSD (Unified Conduction Cancellation Standard Description) simulation containing a plurality of excitation operators according to the electronic structure of a target material molecule; constructing a quantum circuit based on all the excitation operators; when the ground state energy is calculated by using the VQE algorithm, initially setting each parameter as zero in the first calculation, calculating the current gradient of each parameter, updating the parameter value according to the gradient, and iterating until all gradients are zero to obtain the ground state energy; and finally determining the reaction activity of the molecules according to the ground state energy. According to the method, the initial parameter is set to be zero, the gradient calculation complexity is reduced by using the excitation operator ease relation, and measurement of a large number of expected values is avoided. And the line is directly constructed based on UCCSD, and bubble-string conversion and graph coloring preprocessing are not needed, so that the calculation overhead is reduced.

The invention relates to the technical field of distributed quantum computing, in particular to a distributed quantum circuit state transfer evaluation method based on state transfer group scoring. According to the method, the problems that the existing method depends on a simplified scheduling model and channel contention possibly caused by parallel communication operation is not restrained are solved, and meanwhile, the defect that a scheduling feasibility verification mechanism is lacked is overcome. According to the technical scheme, the method comprises the following steps that S1, a quantum circuit partition structure is analyzed; s2, calculating potential scores of two bits in the global gate as state transmission bits; s3, expanding a state transmission group: moving the interference gate based on a gate exchange rule to expand the state transmission group; s4, performing scheduling feasibility verification on the state transfer group; S5, performing final state transfer frequency statistics; and calculating the total communication cost according to whether the state transfer group needs to return the cost. The method has the beneficial effects that the state transfer times are accurately evaluated; identification and optimization of the combined transmission opportunity are supported; and an evaluation strategy with adjustable parameters is supported.

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 embodiment of the invention discloses a quantum computer, a method and a related device for solving a combinatorial optimization problem, and the quantum computer comprises a measurement and control all-in-one machine which is configured to generate a control signal based on a constraint condition, the constraint condition is used for representing the constraint when a plurality of elements are combined; the quantum chip comprises at least one group of quantum bits, and the number of the quantum bits is the same as that of the elements; and the interface is connected with the measurement and control all-in-one machine and the quantum chip and is configured to control the quantum chip based on the control signal so as to generate an optimal combination of elements represented by the ground state of the group of quantum bits. By adopting the embodiment of the invention, the requirement of quantum bits can be effectively reduced, the method is suitable for a real quantum computer, and a practical and feasible quantum circuit can be operated to solve a combinatorial optimization problem.

The invention discloses a fusion quantum secure communication method of an NAT gateway, and relates to the technical field of communication network information security and quantum information. Comprising the steps of 1, creating a fusion quantum security communication system of an NAT gateway, 2, adopting a quantum hybrid encryption architecture through a quantum security module, and internally arranging a quantum key distribution unit and an anti-quantum computing acceleration chipset, 3, expanding a quintuple mapping structure of NAT through a dynamic address mapping and quantum encryption module, newly adding a quantum security dimension field QSV, and carrying out quantum encryption on the quantum key distribution unit and the anti-quantum computing acceleration chipset. And 4, developing a protocol non-inductive conversion engine through a hybrid protocol stack cooperation module, supporting an IPv4 / IPv6 dual-stack quantum tunnel and a quantum key inheritance protocol to realize cross-protocol family encryption parameter migration, dynamically adjusting a quantum encapsulation mode in an address conversion process, and dynamically associating an internal network address port with a quantum key parameter and a channel fingerprint feature. And 5, constructing a quantum perception type session state machine through an anti-quantum attack session management module, and performing a joint decision-making mechanism through quantum entanglement state monitoring and classical traffic feature analysis.

The present invention relates to a method for calculating an electronic structure of a material by using quantum computing. Particularly, the method of the present invention for calculating an electronic structure of a material performed linking a quantum computer and a classical computer, may comprise the steps of: fragmenting a target molecule into fragments of a plurality of monomers having a predetermined positional relation; performing a first VQE routine for performing a Hamiltonian matrix calculation for the plurality of monomers on the basis of a calculation of electron density for the plurality of monomers, inputting modified electron density, and repeating the first VQE routine performing the Hamiltonian matrix calculation until the modified electron density according to the Hamiltonian matrix by the result of the first VQE routine converges; and performing a second VQE routine for performing a Hamiltonian matrix calculation on one or more dimers consisting of two monomer pairs of the plurality of monomers.

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.