575 results about "Quantum gate" patented technology

The invention discloses an AI-based signaling network vulnerability attack simulation and prevention system, which comprises a signaling sensing layer, which is deployed in a core network element to carry out hardware-level decoding of an SS7 / Diameter / SIP / 5G-NR protocol, dynamically extracts protocol field-level metadata through a YARA rule base and generates a standardized signaling log; the threat modeling layer is used for receiving a signaling log output by the signaling sensing layer, generating mixed traffic after injecting a simulation attack, outputting the mixed traffic to the anomaly detection layer, constructing a multi-dimensional feature encoder by using a parameterized quantum gate based on a quantum generative adversarial network and a GFlowNet stream generation engine, generating a compliance attack vector in combination with the constraint of a 3GPP protocol state machine, and outputting the compliance attack vector to the anomaly detection layer; meanwhile, attack trajectory diversity sampling is completed through a Diameter protocol AVP nested state tree and a two-factor award function; the anomaly detection layer is used for receiving the mixed flow of the threat modeling layer and outputting a threat evaluation result to the response processing layer; and the response processing layer is used for receiving the threat assessment result of the anomaly detection layer and issuing a defense instruction to the signaling sensing layer.

The invention discloses a circuit board heat management optimization method combined with quantum computing, which comprises the following steps of: predicting heat flow distribution of each heat source on a circuit board through a quantum optimization algorithm, identifying a potential overheat area, allocating cooling resources in advance, and determining whether the circuit board is abnormal or not according to a local temperature abnormal condition. A quantum gate control algorithm is adopted to adjust the conduction path and rate of heat, redundant heat is guided to a low-temperature area so as to avoid heat accumulation, the system monitors the temperature change and power consumption fluctuation of a circuit board in real time, parameters of cooling equipment are dynamically adjusted according to a feedback result, the redundant heat is converted into electric energy through a heat energy recovery device and stored, and the cooling efficiency is improved. When the power consumption is low, the heat flow is released to balance the overall heat flow of the circuit board and prolong the service life of equipment. The invention aims to realize more efficient heat dissipation management through a quantum algorithm.

The invention discloses a power distribution network fault recovery method and system based on reinforcement learning, and the method comprises the steps: firstly carrying out the modeling of a power distribution network as a weighted directed graph model, and designing a data transmission protocol and a result receiving analysis mode of a quantum-classical hybrid architecture on this basis; meanwhile, designing a quantum reinforcement learning algorithm and strategy optimization based on a weighted directed graph model, training by using training data, representing states and actions by using quantum states, constructing and updating a strategy network and a value network through quantum gate operation, and designing a quantum reward function; when a power distribution network has a fault, the classic calculation part obtains state data after the fault according to a weighted directed graph model, encodes the state data and transmits the state data to the quantum calculation part, the quantum calculation part calculates an optimal fault recovery strategy through an algorithm and feeds the optimal fault recovery strategy back to the classic calculation part, and the classic calculation part converts the optimal fault recovery strategy into an actual control instruction to execute fault recovery work. According to the invention, efficient and reliable recovery of the power distribution network fault can be realized.

The invention relates to a quantum gate simulation and control parameter optimization method based on numerical calculation, and the method sequentially comprises the following three modules: a model Hamiltonian matrix representation module can calculate the matrix representation of a model Hamiltonian according to a specific problem; a time evolution and fidelity calculation module of the system discretely solves a Schrodinger equation by using a Hamiltonian matrix, gives a corresponding time evolution matrix, and calculates gate operation fidelity by using the obtained time evolution matrix; and the control parameter optimization module calls the first two modules, optimizes control parameters and quantum gate operation time by adopting a local optimization algorithm or a global optimization algorithm, and gives optimal control parameters and gate operation time. The problem that the gate fidelity of a current superconducting quantum computing system cannot meet the requirement for reliable operation of a practical quantum algorithm is solved, the detailed process of quantum gate operation can be simulated through a numerical calculation method, and the quantum gate operation fidelity is improved by optimizing control parameters.

The invention pertains to quantum computing. Specifically, the invention refers to a computer-implemented method for finding the ground state of a molecule with a quantum processor by using a quantum-classical Variational Quantum Eigensolver (VQE) method with the ground state corresponding to a Hamiltonian of the molecule, the quantum processor comprising a predetermined quantum circuit for producing trial quantum states for the Hamiltonian operator, said predetermined quantum circuit comprising at least parametric quantum gates associated with one or more parameters to be optimized, the method comprising: - providing an initial and final Hamilton operator, building up a pool of generators to construct an Ansatz of parametrized entanglers for the quantum circuit, and - applying the quantum-classical VQE method to optimize the values of the parameters for finding the ground state of the Hamiltonian.

Methods and systems for quantum error correction on a quantum computer are provided. A quantum computer may comprise syndrome qubits, data qubits, and a plurality of quantum gates acting on the syndrome qubits and the data qubits.

The invention discloses a power grid fault rapid diagnosis method based on an artificial intelligence technology, and relates to the field of power grid fault diagnosis, and the method comprises the steps: S1, carrying out the feature extraction of a power grid fault based on quantum calculation; s2, constructing a power grid knowledge graph; s3, mapping entity nodes in the power grid knowledge graph to a quantum state according to key attribute information of the entity nodes, and designing quantum gate operation for encoding according to a relationship among the entity nodes in the power grid knowledge graph; s4, performing fault diagnosis; and S5, performing feedback and optimization based on the power grid knowledge graph. According to the rapid power grid fault diagnosis method based on the artificial intelligence technology, the high efficiency of the quantum calculation in the aspects of data processing and feature extraction and the advantages of the knowledge graph in the aspects of knowledge representation and reasoning are brought into full play through the power grid fault diagnosis method based on fusion of the quantum calculation and the knowledge graph; rapid and accurate diagnosis of power grid faults can be realized, and a guarantee is provided for safe and stable operation of a power grid.

The invention provides a quantum circuit optimization method, device and equipment for a ZUC algorithm subcomponent, and the method comprises the steps: encoding a signal transmitted by communication into quantum bits, and inputting the quantum bits into a ZUC algorithm structure for quantum implementation; representing a first linear subcomponent in the ZUC algorithm structure as a matrix in a binary field; after a matrix in the binary field is expressed as a block matrix, a low-dimensional matrix M in the binary field is derived from the block matrix, and quantum implementation of the M is searched by using a search algorithm designed based on a matrix decomposition principle; and according to a quantum gate parallel rule, carrying out optimized multi-layer division on the quantum of the M again, obtaining the quantum of the M, carrying out optimized layering operation, and optimizing the quantum of the first linear subcomponent. According to the method provided by the invention, the quantum circuit of the subcomponent of the ZUC algorithm is optimized, so that the resource overhead of quantum implementation of the ZUC algorithm is saved.

The invention relates to the technical field of cable fault monitoring, in particular to an early warning system based on cable fault data analysis, which comprises a quantum encryption unit, a data acquisition and transmission unit and a fault analysis early warning unit, the quantum encryption unit uses a quantum bit entanglement enhancement mechanism to design a quantum gate operation sequence to regulate and control quantum bit pairs, adaptive noise resistance quantum coding is implemented, a coding mode is adjusted according to noise, verification and error correction are carried out, and data encryption is ensured to be safe and reliable; a multi-source data hierarchical encryption architecture is encrypted in different modes and then transmitted to a fault analysis and early warning unit, the unit receives data, decrypts and verifies the data, ensures data integrity by using a quantum hash function identifier, judges cable fault risks through a preset neural network model and a threshold value, and gives out early warning in time; the problems of safe transmission and accurate analysis of cable fault data are effectively solved, and the cable operation and maintenance safety and reliability of a power system are improved.

The invention provides a stochastic simulation method and device for an open quantum system, and the method comprises the steps: decomposing the total Hamiltonian of a new system into a linear term combination of a Fouli operator, and constructing a combination of quantum gates through the coefficient of the linear term combination. And then, operating a classical sampling method taking a Fouli operator as a sampling sample, constructing a quantum circuit by using the combination of quantum gates, and finally obtaining a mean value of the target observed quantity in the open quantum system according to an operation result of the quantum circuit. According to the method, a large-scale actual quantum system dynamics problem is simulated by utilizing a shallow quantum circuit, limitation of quantum chip resources is relieved, an error relieving technology is utilized, the circuit depth is reduced, a part of calculation processes are allocated to a classic computer, and processes related to observed quantity are only operated on the quantum computer, so that the calculation efficiency is improved. And the calculation results of the two parts are integrated on a classic computer, so that quantum hardware resources are saved.

The invention relates to the technical field of quantum compilation, and discloses an error suppression compilation optimization method for a quantum computer, which comprises the following steps of: capturing a physical quantum gate operation error rate and a hardware topological structure of a quantum processor for executing a mapping task, and constructing a hardware feature matrix; capturing gate interaction attributes of a to-be-compiled quantum logic circuit, and constructing a circuit characteristic matrix; according to the constructed hardware feature matrix and circuit feature matrix, establishing a mapping scheme representation model and a corresponding overhead function; solving the overhead function by using a genetic algorithm, and searching a mapping scheme which minimizes the overhead function value under the condition of meeting the resource constraint of the quantum processor; applying the optimized mapping scheme to the quantum logic circuit to be compiled, and compiling and optimizing the quantum logic circuit to be compiled; according to the method, the problems of poor adaptability, insufficient error rate optimization and the like of a quantum bit allocation scheme in the prior art are solved, and low-error and reliable quantum circuit mapping processing is realized.

Aspects of the present disclosure relate generally to systems and methods for use in the implementation and / or operation of quantum information processing (QIP) systems, and more particularly, to various aspects of optical addressing systems configured to individually address multiple ions of a chain of ions trapped within an ion trap. In some aspects, the trapped ions have non-equidistant spacing.

The invention relates to an integer decomposition method based on a quantum approximate optimization algorithm, and belongs to the technical field of password decoding. The method comprises the following steps: constructing clauses to describe an optimization algorithm for decomposing an RSA key M, wherein M is an integer; constructing a parameterized quantum circuit based on the clauses; solving parameters of the parameterized quantum circuit based on a quantum approximate optimization algorithm, and measuring a final quantum state; the quantum state measurement result is mapped into two factors P and Q of an RSA key M, and P and Q are used for calculating private keys of an RSA algorithm. According to the method, the key integer decomposition optimization problem is described by adopting the parameterized quantum gate circuit, and the method is easy to implement and expand on a general quantum computer.

The invention belongs to the field of passwords, and discloses an anti-quantum threshold digital signature method and system capable of tolerating high network delay. The method comprises the following steps: in a secret key generation stage, a trusted third party randomly selects a secret key and performs Shamir secret sharing on the secret key, and distributes a secret sharing value to each signer; in a distributed signature stage, each signer carries out packaging and secret sharing on a secret sharing value, a proving sub-circuit of a public key is operated based on a secure multi-party computing protocol, and each participant outputs a signature through two rounds of interaction. The anti-quantum threshold digital signature scheme has function interchangeability, that is, the signature generated by the threshold scheme and the signature generated by the original signature scheme can be verified by the same verification algorithm; meanwhile, the threshold digital signature scheme is efficient and achievable, and a threshold signature protocol in a scene of two parties of a wide area network only needs 2 seconds; moreover, the method has a better number of rounds, and the signature algorithm only needs two rounds.

The invention relates to a method for realizing a rapid Rydberg blocking SWAP quantum gate based on continuous modulation laser driving. According to the method, laser is continuously modulated by adopting an analytic waveform generated based on Fourier series calculation, high-coherence Rydberg state transition of atomic quantum bits is driven, and accurate atomic state regulation and control meeting the operation requirements of an SWAP quantum gate are achieved. According to the method, errors are effectively reduced by suppressing high-frequency noise, meanwhile, defects related to mechanical motion are avoided, the heating effect generated in the operation process is prevented, the connectivity and fidelity of neutral atom bits in a large-scale system are remarkably improved, and rapid and high-fidelity SWAP quantum gate operation is achieved. And the method is suitable for low Rydberg blocking intensity, can effectively resist adverse effects such as laser fluctuation, and is compatible with a buffer atom framework, so that the intensity of quantum entanglement connection is enhanced.

A quantum computer, comprising: at least one CPU and at least one QPU. The CPU includes: a branch predictor configured to form one or more result predictions or algorithm branches of a result of a measurement being performed or to be performed by the QPU; a compiler configured to generate respective sets of quantum gates corresponding to each of the one or more result predictions by performing respective one or more compilation tasks, each of the compilation tasks comprising compiling a portion of a hybrid quantum algorithm; and a quantum gate selector configured to receiving the result of the measurement and respond by passing to the QPU a set of quantum gates from the sets of quantum gates that corresponds to the result of the measurement.

The invention relates to the technical field of wireless communication, and discloses a wireless communication adaptive method and system based on a data transmission state, and the method comprises the steps: obtaining multi-source data, carrying out the preprocessing of the multi-source data, obtaining a CSI compression matrix, predicting the channel coherence time, dynamically adjusting the CSI sampling interval, and defining a load-channel coupling factor; obtaining cross-layer data based on the CSI compression matrix, performing fusion through a rotation matrix to obtain a fusion matrix, and extracting a physical layer fusion feature and an application layer fusion feature to calculate a multi-target state score; establishing a 5G power compensation mechanism based on cross-layer data, calculating a four-dimensional influence tensor, performing tensor decomposition and optimal action selection, and decomposing T into a core tensor and a factor matrix; selecting an optimal parameter combination through modular product calculation; based on cross-layer data, a quantum entanglement feedback mechanism is introduced, data is fed back, entanglement state association cross-layer indexes are designed, a quantum gate is adjusted through entanglement state design, and a model is updated in real time in combination with incremental learning.

The invention provides a dynamic PUF-NFC (Physical Unclonable Function-Near Field Communication) and multi-modal authentication quantum door lock method which comprises the following steps: generating a piezoelectric driving parameter by utilizing a chaos algorithm, adjusting the dynamic deformation of a nano structure, and generating a PUF key; obtaining multi-modal biological characteristics, performing characteristic extraction on the multi-modal biological characteristics, and performing fusion to obtain a biological characteristic vector; encrypting the PUF key by using a post quantum cryptographic algorithm, and performing key derivation in combination with the biological feature vector to generate a session key; and unlocking the quantum door lock by using the session key to complete the authentication of the quantum door lock. By means of the method, the quantum door lock has high safety under the double threats of quantum calculation and the high simulation technology.

A method of time-dependent quantum Hamiltonian simulation that is capable of efficiently achieving a target error is described. The time evolution of a time-dependent Hamiltonian describing a physical system is modeled using a Magnus operator that has one or more nested commutators and integrals. The Magnus operator is approximated with a commutator-free operator up to an order n. An error between the commutator-free operator and the Magnus operator as result of the approximation is estimated based at least in part on a simulation step size h. The commutator-free operators may be simulated on a quantum computer via one or more quantum gates for a total simulation time in temporal increments of h, where the step size h has a value such that a simulation error of the simulation is less than or equal to a target error.

A non-transitory computer-readable recording medium storing a quantum circuit design program for causing a computer to execute processing including: detecting a first quantum gate of which a gate operation is not performed by a quantum device, from a quantum circuit that indicates a gate operation on a plurality of qubits included in the quantum device; determining an equivalent circuit to be mounted, from among a plurality of equivalent circuits that implements a gate operation same as the first quantum gate by a second quantum gate of which a gate operation is performed by the quantum device, based on a relaxation time of a qubit to be operated by the detected first quantum gate; and converting the first quantum gate in the quantum circuit into the determined equivalent circuit.

The invention discloses a path planning method, device and equipment and a storage medium, and the method comprises the steps: carrying out the quantum state coding of a path state in GIS spatial data, and obtaining a quantum superposition state and an entanglement state of the path state based on a quantum gate; the path planning problem is converted into a quantum Hamiltonian minimization problem, and the Hamiltonian of the annealing process is constructed based on the quantum tunneling effect; an initial quantum superposition state of a path state is constructed for the quantum Hamiltonian, and a target path is searched based on a Grover search algorithm; and coding the dynamic constraint condition into a quantum constraint Hamiltonian, and solving the minimum value of the total sub-Hamiltonian. According to the technical scheme provided by the embodiment of the invention, the path planning task can be efficiently completed.

The invention relates to a method and a system for modulating a quantum control waveform while keeping robustness unchanged. The method comprises the following steps: generating a first pre-variational function according to an original waveform; converting the first pre-variational function into an orthogonal component group, and reserving a first vertical component vertical to the robustness function gradient so as to keep the robustness unchanged; correcting the first vertical component to obtain a first variational function so as to calculate a first quantum gate waveform, and recording a first rotation angle corresponding to the first quantum gate waveform; and performing iterative continuous variation based on the first quantum gate waveform until all quantum gate waveforms are output. According to the method, robustness can be kept unchanged in the continuous transformation process, other evaluation indexes such as fidelity, high energy level leakage, total energy, smoothness and bandwidth are improved, the robust waveform of the quantum gate with continuous parameters is achieved, and a group of quantum gate waveforms with all rotation angles can be obtained.

The invention discloses a short-path optical pulse based on a three-energy-level system, a generation method and application. Specific forms of Hamiltonian and Rabian frequency parameters thereof are constructed in a three-level quantum system, and the parameters are optimized to obtain a light pulse which enables an evolution path of a quantum state on a Bloch sphere to be shortest and is high in fidelity. According to the optical pulse obtained by the technical scheme, the quantum state can be changed into a target state from any initial state through a circular evolution path, and logic gate operation is executed. The evolution time of the gate can be effectively shortened through the circular evolution trajectory, and the quantum gate reduces the influence of environmental noise while keeping the robustness of the control error. According to the quantum logic gate, multi-parameter optimization is carried out on the optical pulse waveform, the quantum logic gate is suitable for a rare earth ion Pr < 3 + >: Y2SiO5 quantum bit system device and an inverted-V-shaped three-energy-level system, and the high-fidelity quantum logic gate is obtained.

Techniques facilitating error mitigation for quantum computing devices. In one example, a system can comprise a process that executes computer executable components stored in memory. The computer executable components comprise: an approximation component; a budget component; and an optimization component. The approximation component can generate an approximate decomposition of a quantum gate. The budget component can set a budget value (Cbudget) for a C-factor that is a metric for increase in variance of quasi-probability sampling. The optimization component can determine an optimal decomposition for the quantum gate as a function of Cbudget.

Systems and methods for performing iFRB benchmarking are disclosed. Exemplary systems can include a quantum component and a classical component. The classical component can include at least one processor and at least one non-transitory computer-readable medium. The non-transitory computer-readable medium can contain instructions that, when executed by the at least one processor, cause the classical component to perform operations. The operations can include generating a gate sequence including test gates interleaved with gate subsequences equivalent to Haar random two-qubit gates. Each gate subsequence can include at least one SQiSW gate. The operations can further include generating a recovery gate based on the gate sequence. The operations can further include providing commands applying the gate sequence and the recovery gate to the quantum component and obtaining an output from the quantum component.

The invention discloses a method for effectively simulating general quantum computing based on a classical circuit network, and relates to the technical field of quantum computing simulation, and the method comprises the following specific steps: converting data into a voltage signal through input voltage coding, constructing a single-bit gate and a two-bit gate by using an operational amplifier and an analog multiplier, and constructing a single-bit gate and a two-bit gate; according to the invention, the general quantum computation is simulated by a classical circuit network, an n-bit unitary matrix is decomposed and reconstructed by means of input voltage coding quantum state and voucher / two-bit gate modular design, and the high-efficiency simulation of general quantum computation is realized. Quantum gate linear transformation is reproduced, quantum calculation universality is achieved, voltage signals and data are converted through a reflection formula, signal distortion is avoided, multi-level gate circuit cascading is supported, and a flexible and stable platform is provided for quantum algorithm verification and the like.

A method comprises determining a first and second portion of a quantum circuit specification based at least in part on two or more estimated gate simulation times associated with simulating two or more quantum gate operations; generating a first set of output quantum states (OQSs) by simulating the first portion using a classical processor; determining a first set of measurement results associated with the first set of OQSs; generating a second set of OQSs by simulating or executing the second portion; determining a second set of measurement results associated with the second set of OQSs; and determining a result based at least in part on the first set of measurement results and the second set of measurement results; where the first set of OQSs and the second set of OQSs do not depend on each other.

To provide a computer-implemented method and system for encoding an intended matrix in a quantum circuit.SOLUTION: A computer-implemented method includes the steps of: acquiring a matrix product operator (MPO) representation of an intended matrix; determining an approximation rank of the intended matrix on the basis of the MPO representation; determining an initial guess for an orthogonal approximation of the intended matrix in the form of a tensor network with isometric sub-tensors of the approximation rank; and starting with the initial guess and iteratively optimizing the orthogonal approximation of the intended matrix on the basis of an optimization algorithm minimizing a cost function subject to an isometry constraint for the isometric sub-tensors. The cost function attributes a cost to the orthogonal approximation of the intended matrix on the basis of the quality of the orthogonal approximation with respect to the intended matrix. The method also includes the step of encoding the orthogonal approximation into a quantum circuit on the basis of the encoding of the isometric sub-tensors into quantum gates.SELECTED DRAWING: Figure 2

The invention relates to the technical field of underground water detection, in particular to an online monitoring method and device for underground water pollution. Establishing a quantization environment model of the underground water system based on the multi-source heterogeneous environment data of the target area; mapping the time sequence monitoring data of each monitoring point into a quantum state sequence in a high-dimensional Hilbert space to obtain environment observation input of each monitoring point; inputting the environment observation of each monitoring point into the quantization environment model, and generating quantum action modal data by using quantum gate operation; and integrating the monitored quantum action modal data of each target area, constructing a cross-regional groundwater pollution knowledge graph, and transmitting the knowledge graph to a preset terminal for display. According to the invention, comprehensive and visual decision support is provided for global pollution monitoring and treatment, efficient and accurate online monitoring and early warning are realized, and powerful technical support is provided for groundwater pollution prevention and control.

The invention relates to the technical field of power system energy storage optimization, and discloses a terminal micro-grid energy storage optimization configuration method and system and a computer readable storage medium. Comprising the steps of generating load demand probability distribution and a new energy output confidence interval through deep learning and Bayesian probability modeling based on historical load and new energy monitoring data, extracting boundary parameters and mapping the boundary parameters into a quantum state initial solution set, and generating a quantum coding instruction set; a quantum algorithm population is initialized, a non-dominated solution set sequence is generated through quantum gate evolution operation, and a Pareto leading edge output optimization configuration scheme is screened; verifying feasibility in combination with local voltage data, and generating an executable control instruction set after fine tuning of capacity-position weight; and driving the energy storage unit to execute charging and discharging operation, collecting operation data, updating model parameters, finally separating probability weights and quantum deviations, adjusting a Bayesian model and resetting quantum gate parameters to generate a calibration instruction set. According to the invention, the energy storage configuration efficiency and precision can be obviously improved.