454 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 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 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.

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 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.

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.

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.

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.

An information processing apparatus sets, for a rotation gate that is a quantum gate executed on an encoded logical qubit, a target rotation angle set in the rotation gate to a designated rotation angle, generates a first logical qubit having a predetermined ancilla state based on the designated rotation angle, executes a stochastic rotation operation that results in a forward rotation with the designated rotation angle or in an inverse rotation whose sign is opposite to a sign of the designated rotation angle by using, as input, the first logical qubit and a second logical qubit on which the rotation gate is executed, and repeats a process for generating the first logical qubit and a process for executing the rotation operation while updating the designated rotation angle based on the target rotation angle until the rotation operation results in the forward rotation.

A method for operating a quantum register. The method includes: carrying out of a first read-out process, so that first data representing a first state of the quantum register are ascertained; first control of the quantum register, which is in the first state, in accordance with a quantum gate; carrying out of a second read-out process, so that second data representing a second state of the quantum register which results from the first control are ascertained; adjustment of at least one parameter of the quantum gate using the first data and the second data in order to optimize a target function which is dependent on the first data and on the second data; second control of the quantum register in accordance with the quantum gate which results from the adjustment.

The invention discloses a high-reliability aircraft communication encryption method based on a quantum neural network. The aircraft communication encryption method comprises the following steps: collecting and preprocessing aircraft communication original data; the method comprises the following steps: initializing a quantum neuron state by using a quantum state superposition principle, and determining an initial connection weight value of a quantum neural network by calculating probability amplitude values of different quantum gate operations so as to construct an initial quantum neural network structure; generating an encryption key according to quantum bits of the output layer of the quantum neural network; for aircraft communication data to be transmitted, an encrypted data ciphertext is obtained according to the encryption key, a quantum key distribution technology is utilized to generate and distribute the key, and the ciphertext and the key are transmitted through a communication channel; and the receiving end receives the ciphertext and decrypts and verifies the security in the ciphertext transmission process. According to the method, the aircraft communication data is encrypted based on the quantum neural network, and the security in the aircraft communication process is improved.

Described herein is the simulation of an input quantum circuit, including a machine-readable specification of the quantum circuit. Aspects include partitioning the input quantum circuit into a set of sub-circuits based on at least two sets of qubits identified for tensor slicing, where the resulting sub-circuits have associated qubit sets for tensor slicing. The simulation can be performed in stages, one stage for each sub-circuit. The qubit sets associated with the sub-circuits can be used to partition the simulation quantum state tensor of the input quantum state circuit into quantum state tensor slices, and the quantum gates in the sub-circuits can be used to update the quantum state tensor slices into updated quantum state tensor slices. The updated quantum state tensor slices are stored as micro-slices in auxiliary memory.

A system and method for inducing spin locking onto superconducting qubits, via a control drive, during performance of a quantum gate between the superconducting qubits is described. Spin locking may prolong the coherence times of the superconducting qubits involved in the gate, therefore reducing the risk that a fault occurs due to interference by noise in the environment. In order to induce spin locking, pulses may be directed at the superconducting qubits for the duration of the gate. The pulses may be determined and optimized by optimal coherence control methods and applied using a control drive. The pulse profiles may be determined in a manner that is specific to the given gate, to the superconducting qubits involved in the gate, and to the quantum hardware upon which the superconducting qubits and the gate are implemented.

A method of performing an encoded gate on a logical qubit, wherein the encoded gate includes the port portion and an ancillary portion, and wherein a lower surface of the port portion is coupled to an upper surface of the ancillary portion, includes performing a first plurality of stabilizer measurement on the port portion, performing both single qubit and dual qubit measurements on a plurality regions of the ancillary portion to generate topological features such as a twists, domain walls, and defects within a bulk region of the encoded S gate.

A method, system, and product for performance analysis of quantum programs. A quantum program comprises plurality of code artifacts and is compilable into a quantum circuit. A representation of the quantum circuit that implements the quantum program is obtained. The quantum circuit manipulates a plurality of qubits over a plurality of cycles using a plurality of quantum gates. The representation of the quantum circuit includes circuit components. A performance measurement of a code artifact of the quantum program is automatically computed based on one or more circuit components that are mapped to the code artifact by a component to code mapping. The component to code mapping maps circuit components of the representation to the quantum circuit to respective code artifacts of the quantum program.

A quantum circuit design support apparatus determines the number of control qubits for each of one or more third quantum gates corresponding respectively to one or more third qubits that have a predetermined value before the gate operation of a first quantum gate that flips the value of the target qubit when all control qubits are 1, and the number of control qubits for a second quantum gate so that a predetermined relationship is satisfied. The quantum circuit design support apparatus generates a second quantum circuit including the third quantum gates, each using first qubits equal in number to the determined number of control qubits as the control qubits and a third qubit as the target qubit, and the second quantum gate using a first qubit not used in the third quantum gates and the third qubits as the control qubits and the second qubit as the target qubit.

The invention discloses a quantum circuit decomposition method, a quantum circuit and a quantum chip, and the method comprises the steps: generating a candidate quantum gate operation pool according to a topological structure of the quantum chip, and obtaining a quantum gate from the candidate quantum gate operation pool to construct a variable component sub-circuit; training the combination of the variable layers of the variable component sub-lines, and judging whether the preset gate decomposition precision is met or not; if not, the quantum gate is obtained again, strategy evaluation is carried out on the quantum gate according to the obtained variational parameter, and the quantum gate meeting the gradient requirement is selected to construct a new variational sub-line; the obtained quantum gate is subjected to strategy evaluation to adjust the structure of the variable component sub-line, decomposition of a unitary matrix in any quantum line can be adapted, the redundancy of the quantum line is reduced, the expression ability of the quantum line is improved, the variable component sub-lines are sequentially added for training, decomposition of the quantum line is completed in the shallow line depth, and the quantum line decomposition efficiency is improved. The number of the decomposed back doors is minimized, and the redundancy of the quantum circuit is reduced.

An information processing apparatus obtains measurement data representing measurement values measured after a quantum gate sequence including first and second quantum gates is executed a plurality of times, defines, in representing the first quantum gate as the product of a first matrix representing an ideal value of the first matrix and a matrix exponential of a second matrix representing an error, a variable representing the second matrix, generates a function that linearly approximates an effect of the error on the measurement values, by approximating a composite quantum gate that is a combination of the first and second quantum gates by the product of the first matrix, a third matrix representing an ideal value of the second quantum gate, and a matrix exponential of a transformation result of transforming a value of the variable using the third matrix, and estimates the error using the function and measurement data.

The invention discloses a power distribution network fault data preprocessing method and system based on multi-source information fusion, and relates to the technical field of power systems, and the method comprises the steps: constructing a dynamic topology manifold based on the physical connection relation of power distribution network equipment and multi-source data; manifold deformation caused by line switching or sudden load change is responded, and abnormal data are recognized in combination with the manifold curvature and the equipment connection path distance; encoding the abnormal data, the meteorological data and the equipment state data into quantum states, and generating entanglement feature vectors through quantum gate operation; performing chaos sequence modulation on the basic features to generate modulation features; performing quantum fusion transformation on the modulation feature and the entanglement feature vector to generate an enhanced feature; calculating topological space correlation, chaos behavior similarity and quantum correlation based on the enhanced features, and constructing a multi-dimensional fusion weight; and performing weighted fusion on the enhanced features according to the multi-dimensional fusion weight, and outputting a preprocessed fault feature vector.

The invention relates to the field of quantum computing, more specifically to a novel arrangement of qubits in a quantum processing unit and a novel method for performing multi-qubit gate operations on the qubits. The system comprises multiple qubits coupled to a central resonator via tuneable couplers. The system is particularly suited to executing quantum algorithms featuring a centrally significant elements and may significantly reduce the number of quantum gate operations performed in such algorithms.

Systems and methods for quantum computation are provided. In one example, performing quantum computation using a masked circuit can include obtaining, by a classical computing system, data indicative of a quantum computation circuit. One or more quantum gates within the circuit can be masked to generate a masked quantum computation circuit. Data indicative of the masked quantum computation circuit can be sent to a quantum computing system. The classical computing system can receive masked results associated with one or more quantum computations based on the masked quantum computation circuit. The classical computing system can determine, based on the masked results, an output of the quantum computation circuit.

The invention discloses a quantum circuit calculation method. The method comprises the steps that an original quantum circuit is decomposed, a target quantum circuit is generated, and the target quantum circuit only comprises a single-bit gate and a double-bit gate. Then, based on the quantum gate dependency relationship of the target quantum circuit, splitting the target quantum circuit to generate a first sub-circuit and a second sub-circuit; then, based on the quantum simulation machine, the first sub-line is executed, and a first density matrix is determined. Then, based on the quantum processor, the second sub-line is executed, and a second density matrix is determined. And finally, according to the first density matrix and the second density matrix, determining a target execution result corresponding to the original quantum circuit. Thus, through decomposition processing and splitting processing, the circuit structure of the original quantum circuit is simplified, and high resource consumption of a traditional full-circuit single processing mode is avoided.

The invention relates to the technical field of quantum reinforcement learning, in particular to a reinforcement learning method and system for quantum gate regulation, and the method sequentially comprises the steps: carrying out the normalization of an offline sample, carrying out the principal component analysis, and then preparing a prior quantum state; performing wavelet scattering and persistent coherence on the quantum pulses to extract topological features, and mapping the topological features into a non-Abell geometric gate rotation angle to generate an action probability; constructing a sparse high-dimensional vector, selecting a target super vector through Grover amplification, writing the target super vector into the silicon carbide memristor array, and retrieving an action vector according to a conduction function determined by the topological feature vector; the motion vector drives the Heisenberg cellular automaton to predict the environment, the local error triggers the fine tuning of the rotation angle and the conduction value, and the global distance triggers the topology recompilation and the quantum natural gradient. According to the method, decision making within 250 microseconds, low-energy-consumption retrieval and steady-state self-healing are achieved.

The invention discloses a variable component sub-line, a quantum state amplitude coding method, a quantum state amplitude coding device, quantum state amplitude coding equipment and a medium. The variable component sub-line comprises n quantum bits which are sequentially arranged from a low bit to a high bit, the circuit unit comprises one or more first operation columns which can be operated repeatedly, and each first operation column comprises one first uncontrolled U3 quantum gate and (n-1) controlled U3 quantum gates; the first uncontrolled U3 quantum gate is arranged on the first quantum bit at the lowest bit; each controlled U3 quantum gate is arranged on the second quantum bit to the nth quantum bit which are located at the second low position, and the control position of the controlled U3 quantum gate is the previous low-position quantum bit adjacent to the target position of the controlled U3 quantum gate; the second operation column comprises n second uncontrolled U3 quantum gates which are respectively arranged on the n quantum bits; the line unit is located between the input end of the variable component sub-line and the second operation column, and each uncontrolled U3 quantum gate and each controlled U3 quantum gate carry training parameters.