36 results about "Unitary transformation" patented technology

The invention discloses a quantum circuit compiling method and system, a terminal and a computer readable storage medium. The quantum circuit compiling method comprises the steps of obtaining target unitary transformation and hardware constraints; converting a unitary transformation space parameter corresponding to the target unitary transformation into a Riemannian manifold; calculating a geodesic path using a Lagrange action amount based on the Riemannian manifold and the hardware constraint; synthesizing a gate sequence of the geodesic line path; a compiling circuit with authenticated minimum depth and maximum fidelity is output based on the synthesized gate sequence. The compilation circuit obtained by the invention has circuit optimality mathematical guarantee.

The invention provides a double-layer safe trainable quantum machine learning method based on polynomial dynamics Lie algebra, and the method comprises the following steps: 1, constructing core variation simulation meeting the constraint of the polynomial dynamics Lie algebra, and guaranteeing the trainability of a model; 2, performing truncated Chebyshev graph coding at an input end, and constructing a rugged loss function landscape by using graph state entanglement and a Chebyshev tower strategy to prevent a snapshot inversion attack; 3, executing dynamic local scrambling at an output end, applying time-varying random local unitary transformation before measurement, and confusing a linear relation between gradient and a snapshot to prevent recovery attack of the snapshot; and 4, measuring and calculating a loss function, and updating parameters. According to the method, an orthogonal decoupling strategy is adopted, a privacy protection mechanism is externally arranged on an input / output interface, and trainability is anchored to core configuration, so that the capability of resisting algebraic attacks is remarkably improved while model convergence is ensured.

The application relates to a real-valued super-resolution direction estimation method of a high-order acoustic field sensor array, which uses a received signal covariance matrix to approximately calculate an estimated value of noise power, avoids the iterative operation process of noise power in the prior art, improves the calculation efficiency, and reduces the floating-point operation amount. By constructing an augmented matrix, the array receiving data matrix and the array manifold matrix with a multi-dimensional structure of an element are made into Hermitian matrices, so that the unitary transformation processing of the related parameters of the high-order acoustic field sensor array is realized. On the basis of obtaining the array receiving data matrix and the array manifold matrix in the real number domain, the array receiving data matrix and the array manifold matrix are applied to a sparse approximate minimum variance method with a variable exponential factor, and the completely real-valued sparse approximate minimum variance direction estimation with a variable exponential factor is realized.

The application discloses an optical matrix vector multiplier based on a unitary matrix-diagonal matrix decomposition. The multiplier comprises a Mach-Zehnder interferometer array for realizing a synthetic unitary matrix Omega and a modulation unit for realizing a corresponding diagonal matrix Sigma, wherein a target weight matrix M satisfies a decomposition form of M=ΩΣ. The method fuses two unitary matrices required for mapping in a traditional singular value decomposition into a single synthetic unitary matrix Omega, so that a unitary transformation can be completed by only one interferometer array of optical hardware, and a complete matrix multiplication is realized in cooperation with the modulation unit. Through algorithm-hardware collaborative design, the number of basic optical interference units required is significantly reduced, the hardware complexity, manufacturing cost and system power consumption of the optical neural network are greatly reduced while the computing performance is maintained, and an effective solution is provided for efficient optical computing acceleration of artificial intelligence.

A system and method for providing metered quantum entanglement-as-a-service are described. Entangled pair source nodes apply a unitary transformation to generated entangled quantum particles, such that the entangled quantum particles are transformed into a given one of a plurality of transformed states that are selected randomly or in a manner that is not readily apparent to customers. The transformed entangled quantum particles are distributed to recipients, such as customers. However, in order for the recipients to be able to use the received entangled particles to communicate shared information, such as a shared secret, the recipients require knowledge of the respective states of the entangled quantum particles resulting from the randomly selected transformations. The state information is metered out in response to receiving payment or other authorization indicating a recipient / customer has complied with terms of use of the quantum entanglement distribution service.

The invention provides a controlled bidirectional remote transmission method of any quantum state, and relates to the technical field of quantum communication. According to the invention, a control party David and communication parties Alice, Bob and Candy are introduced to construct a cooperative communication system, and the three communication parties all have receiving and transmitting bidirectional functions, so that the limitation of traditional one-way transmission is broken. Two core communication paradigms of quantum invisible transmission and remote state preparation are creatively fused, a maximum entanglement state sharing mechanism is constructed between a communication party and a control party, and bidirectional interactive transmission of quantum information is realized under cooperative regulation and control of the control party: Alice can invisibly transmit any single-bit state and two-bit state to Bob and Candy respectively, and Alice can invisibly transmit any single-bit state and two-bit state to Bob and Candy respectively; at the same time, Bob and Candy can also be used for jointly and remotely preparing any two bit states for Alice. In a transmission process, a receiver can perfectly reconstruct a target quantum state through a series of quantum measurement and unitary transformation operations, so that deterministic bidirectional hybrid transmission of quantum information is achieved. According to the technical scheme, organic fusion of two quantum communication modes is achieved, a multi-node collaborative quantum information interaction architecture is constructed, a core technology foundation is laid for constructing an efficient and flexible quantum communication network, and the application potential of quantum information transmission is remarkably improved.

This invention belongs to the field of industrial time-series data completion technology, specifically relating to a method based on truncated L... 2,P A scalable industrial time-series data completion method based on norms includes: acquiring multi-dimensional industrial time-series data through distributed sensors; processing missing values ​​in the acquired tensors to obtain sparse tensors to be completed, and constructing a low-rank tensor completion model; integrating linear unitary transforms to enhance the scalability of the model; and defining a truncation L... 2,P Norm, based on truncated L 2,P A low-order smooth tensor completion model based on the norm is proposed. This model decomposes a complex optimization problem into multiple parallelizable subproblems to obtain the objective solution. The objective solution is then adapted to an industrial time-series data format to obtain completed industrial time-series data. This invention utilizes truncated L... 2,P The norm better approximates the tensor rank, and by integrating linear unitary transformation, it can complete high-dimensional, large-scale industrial time series data, effectively improving data quality and providing reliable support for the accurate analysis and optimization of industrial processes.

The application relates to the technical field of multi-plane light converters, and more particularly to an on-chip multi-plane light conversion device and an optimization design method thereof. A grating coupling unit, a multi-plane phase sheet and a mirror are integrated on the same glass substrate, three-dimensional monolithic integration of input coupling, light path folding and light field transformation functions is realized, precise mechanical alignment requirements among discrete components are completely eliminated, the integration degree is high, high-precision alignment is avoided, stability is improved, and the volume is reduced to a certain extent. The application realizes efficient conversion of a light field between an on-chip waveguide and free space through the grating coupling unit, and performs arbitrary unitary transformation in the free space by using an MPLC composed of the multi-plane phase sheet and the mirror, the two work cooperatively, the high mode capacity and low crosstalk advantages of the MPLC are combined with the on-chip integration advantages of the grating coupling unit, and high-performance and small-volume light field transformation can be realized.

The invention discloses a complex coefficient quantum multicast transmission method based on remote preparation. The method comprises the following specific steps: step 1, constructing a basic channel of quantum multicast; 2, constructing a customized orthogonal measurement basis; 3, the sender measures the quantum bits of the sender by using the orthogonal measurement basis constructed in the step 2 and broadcasts the measurement result to all receivers through a classic channel; 4, the receiver introduces auxiliary particles based on the measurement result of the step 3 and executes joint unitary transformation to separate a target state from a noise item; step 5, the receiver screens effective items by measuring auxiliary particles and executes corresponding unitary operation, and reconstructs the target single quantum bit state defined in the step 2; and step 6, the receiver introduces extended auxiliary particles and uses CNOT gate operation to extend the single quantum bit state reconstructed in the step 5 into a target complex coefficient GHZ state. The method solves the technical problem that the quantum multicast scheme in the prior art can only transmit the quantum state represented by the real number field.

The invention provides a current sensing method and a related device based on quantum coherence enhanced pulse and state space, and the method comprises the steps: carrying out the quantum state initialization of a diamond NV color center, combining a to-be-detected signal magnetic field with an environment electromagnetic interference magnetic field, constructing a pulse Hamiltonian with phase compensation, and carrying out the detection of the state space. A microwave pulse sequence acts on initialized quantum state evolution calculation, and a fluorescence intensity modulation signal is obtained through measurement; demodulating the signal to obtain a demodulated current signal of the signal magnetic field to be detected; based on the demodulation current signal and the conductive EMI noise, constructing an EMI observer through classical state space filtering and outputting a compensation signal, and performing cross-correlation cooperative processing on quantum output and classical output to obtain a cooperative filtering signal; and coding the collaborative filtering signal into a quantum state, and sequentially performing unitary transformation and quantum state probability amplitude measurement to obtain a current value of the signal to be measured. According to the invention, the wide-range current measurement precision in a strong electromagnetic field environment can be improved, the electromagnetic interference is suppressed, and the temperature stability is improved.

The application discloses a double-base radar distance-dependent clutter compensation method based on a subspace unitary transformation, and comprises the following steps: constructing a space-time steering matrix of a to-be-detected distance unit and a training sample set respectively; constructing a transformation matrix according to the space-time steering matrix, so that the clutter subspace of each training sample in the training sample set and the to-be-detected distance unit are consistent; in the fitting process, taking the transformation error of each training sample in the training sample set and the to-be-detected distance unit as a target optimization function; compensating the echo data corresponding to each training sample in the training sample set by using the transformation matrix to obtain corresponding compensated echo data; calculating a covariance matrix corresponding to the to-be-detected distance unit by using all the compensated echo data; solving a STAP weight vector according to the covariance matrix; and suppressing the clutter of the echo data corresponding to the to-be-detected distance unit by using the STAP weight vector. The application improves the clutter suppression performance and has strong scene use versatility.

The application relates to a reconstruction method and a reconstruction system of a non-hermitian system eigenstate, and the reconstruction method comprises the following steps: constructing an n-order non-hermitian system, wherein n is an integer greater than or equal to 2; coupling a driving source to the n-order non-hermitian system, and transforming an equivalent Hamiltonian of the n-order non-hermitian system with external excitation into an anti-PT symmetric form by using a suitable unitary transformation; calculating eigenvalues of the n-order non-hermitian system based on the equivalent Hamiltonian of the anti-PT symmetric form, finding a critical condition corresponding to a chirality inversion between two types of EPs in the n-order non-hermitian system; and adjusting the size of the excitation coupling coefficient based on the critical condition, so as to realize the chirality inversion between the two types of EPs. The application can actively manipulate the eigenstate of the EP without changing the physical structure of the non-hermitian system.

This invention discloses a method, system, device, and storage medium for suppressing energy level leakage, relating to the field of quantum information processing. The method applies parametric modulation to qubits to establish and activate effective exchange coupling between qubits under dispersive coupling conditions, thereby performing a two-qubit entanglement gate operation. During the gate operation, a computational subspace control model and an energy level leakage model are constructed by performing representational and unitary transformations on the system's Hamiltonian. Based on these models, the entanglement gate control pulse is optimized. The energy level correction introduced by the parametric driving is dynamically compensated through modulation of the effective Rabi frequency of time-shaping and time-dependent detuning parameters, thus suppressing energy level leakage from the computational subspace to higher energy levels. Compared with existing technologies, this invention improves the controllability and fidelity of entanglement gate operations under complex energy level structures and is applicable to quantum operations in modular quantum systems.

The invention refers to an apparatus 810 for generating control signals for measuring states of quantum elements of a quantum computer 830. A providing unit 811 provides a problem description. A transformation unit 812 transforms the problem description into a quantum mechanical representation The transformation comprises determining unitary transformations that rotate operators representing observables to be measured into bases that lead to a pure occupation number representation. A translation unit 813 translates the quantum mechanical representation into a sequence of quantum operations comprising unitary transformation operations to be applied to quantum elements. The translating comprises determining the unitary transformation operations based on the determined unitary transformations. A generation unit 814 generates signals for controlling the application of the determined sequence of quantum operations to the quantum computer such that the quantum mechanical representation of the problem is prepared and the observables indicative of the solution of the problem are measured.

The invention discloses an Internet of Things data reconstruction method, application and storage method based on structure enhancement and learnable transformation tensor low-rank modeling, and belongs to the field of Internet of Things data processing. The method comprises the following steps: dispersing a monitoring area into grid points, deploying a sensor, and constructing data of continuous T time slots into a third-order original tensor; constructing a Hankel block matrix by sliding a window of the original tensor in a space-time direction, and stacking the Hankel block matrix to form a structure enhanced tensor; executing tensor singular value decomposition by using unitary transformation, and minimizing a transformation tensor nuclear norm to establish a low-rank constraint; constructing a low-rank tensor completion model, and expanding the low-rank tensor completion model into an end-to-end trainable network SLRTC-T2Net through an alternating direction multiplier method; and finally, reestablishing missing data by using the trained network. According to the method, the space-time coupling characteristic is fully mined through a double Hankel structure enhancement mechanism, effective coupling of structured modeling and low-rank completion is realized in combination with learnable unitary transformation, the missing data reconstruction precision is effectively improved, and the problem of base mismatching of a traditional sparse method is relieved.

The application discloses a tunnel construction surrounding rock field state identification and control method, relates to the technical field of construction control, takes a radius vector as input, identifies the noise background type of the current construction environment, if it is a high Gaussian color noise background, compresses the radius of each Gerschgorin circle by using a unitary transformation operator and the center information of the radius vector, then executes standardization to obtain a target radius matrix, adopts an improved density clustering algorithm to cluster the target radius matrix, identifies a plurality of target clusters, and switches between a fast response mode and a sustained stabilization mode according to the cluster density, boundary definition and real-time load parameters of the clustering result. The control method can convert the on-site time sequence monitoring data into surrounding rock field state receiving data tensors, can optimize the support resource allocation and construction rhythm while ensuring safety, and thus realizes efficient management of the stability of surrounding rocks during the tunnel construction period.

The invention discloses an offshore wind turbine communication system based on quantum encryption, relates to the technical field of offshore wind turbine communication, and aims at solving the problems that an existing system is interfered by natural environment factors, and the traditional communication cost is high. The system is divided into three layers: an offshore booster station layer is connected with a 5G base station and an offshore wind turbine layer, receives production data and transmits the production data to an onshore monitor through a submarine optical cable; the 5G base station layer is connected with the two ends, a multi-objective optimization function and threshold constraint are established based on the quantum entanglement success rate, the path fidelity, the path distribution rate, the path resource cost and the path maximum connected component five dimensions, and fan optimal quantum routing is achieved; the offshore wind turbine layer constructs a quantum communication channel mechanism and a dense coding mechanism based on 5G, the quantum communication channel mechanism compresses a to-be-transmitted state through Huffman coding and constructs a channel through unitary transformation transmission comparison, and the dense coding mechanism transmits data through I, X, Y, Z, OC-NOT and H unitary transformation based on shared entanglement particles. The communication reliability and safety are improved, and the operation and maintenance cost is reduced.

The present application relates to the technical field of wireless communication, especially to a channel estimation method based on sparse Bayesian learning, comprising the following steps: step A, using the sparse characteristics of the millimeter wave channel to model the channel, and constructing the corresponding RIS assisted MIMO communication system model; step B, first constructing two-layer sparse prior information of the channel, then factorizing the joint posterior probability density function of the parameters, and finally drawing the corresponding factor graph model according to the factorization; step C, for the factor graph model in step B, combining the unitary transformation approximate message passing, and using the sparse Bayesian algorithm framework to perform channel estimation; step D, repeating step C until the algorithm converges; the method in the present application has low complexity, reduces the pilot overhead of the system, and has high algorithm universality.

The present application relates to the technical field of target detection, and particularly relates to a target detection method and device based on unitary transformation and a storage medium. The method comprises the following steps: constructing a space-time tensor of multiple infrared images, wherein the space-time tensor comprises a background tensor and a target tensor; constructing a target function of the space-time tensor, wherein the target function is obtained by constraining the background tensor by using a tensor kernel norm in a unitary transformation domain and constraining the target tensor by using a joint space-time total variation and L1 norm; solving the target function to obtain the target tensor; reconstructing the obtained target tensor into multiple single-frame target images, and outputting a detection result of each target image. The method can accurately detect targets in a complex background and has strong detection capability.

This application discloses a time-series prediction method and a training method for a time-series prediction model. The method includes: acquiring time-series data, which contains N data points with temporal correlation, where N is a positive integer greater than 1; modifying the state parameters of an optical quantum circuit based on the time-series data; acquiring the quantum feature vector output by the optical quantum circuit based on the state parameters; decoding the quantum feature vector to obtain M prediction results corresponding to M consecutive time-step evolutions; acquiring the quantum feature vector output by the optical quantum circuit based on the state parameters includes: performing a spatial unitary transformation on the optical quantum information of each time step input to the optical quantum circuit through the spatial unit of the optical quantum circuit; delaying the optical quantum information of the M consecutive time steps through the delay unit of the optical quantum circuit; and sampling the output of the optical quantum circuit at each time step to obtain the quantum feature vector.

Disclosed are systems and methods for implementing quantum-like gate operation using logical phi-bits of a quantum analogue system for achieving controllable classical entanglement. A method can include driving an array of elastically coupled acoustic waveguides using a first frequency and a second frequency different from the second frequency. A plurality of logical phi-bits can be determined based on acoustic field measurements associated with the waveguides. A tuning parameter value associated with a selected set of logical phi-bits can be determined, wherein the tuning parameter value is associated with a unitary transformation of a state of the selected set of logical phi-bits. A unitary gate operation can be implemented for the selected set of logical phi-bits by tuning an external driver coupled to a particular acoustic waveguide of the array by using the tuning parameter value to adjust one or more of the first frequency or the second frequency.

The application discloses an OFDM signal transmission method based on aliasing pilot, comprising the following steps: A: establishing an aliasing pilot OFDM iterative receiver mathematical model; B: performing iterative algorithm variable initialization; C: performing channel estimation by using a unitary transformation approximate message passing method; D: applying a belief propagation algorithm to perform aliasing pilot symbol detection to obtain estimation of a sending information sequence; E: performing noise precision estimation; F: iteratively performing steps C to E, updating the established aliasing pilot OFDM iterative receiver mathematical model, and finally completing signal transmission by using the updated aliasing pilot OFDM iterative receiver mathematical model. The application can take the aliasing pilot as a prior distribution of a frequency domain symbol, guide the iterative algorithm, does not need to change an existing receiver framework, and effectively improves the spectrum utilization and robustness of the OFDM system.

A system may include a boson sampler configured to generate an output bosonic state by performing a parametrized unitary transformation on an input bosonic state. The system may include a controller coupled to the boson sampler. The controller may be configured to: (i) determine a set of one or more parameter values that defines the parametrized unitary transformation performed by the boson sampler, (ii) operate the boson sampler multiple times with the boson sampler tuned to the determined set of parameter values, (iii) record one or more responses of the boson sampler for the multiple operations (iv) generate binary sequences based on the responses, (v) calculate values of an objective function of a binary optimization problem, and (vi) determine a solution to the binary optimization problem based on the calculated values.

The present disclosure relates to quantum computing methods and devices, wherein a computation corresponding to a certain desired unitary transformation of the Hilbert space of a quantum system, such as a set of qubits, is implemented by selective application of control pulses in order realize a continuous time quantum computation rather than by decomposing the unitary transformation into a sequence of gates taken from a fixed set of gates. In this way an effective Hamiltonian having an input matrix A encoded as an off-diagonal block connecting a first and a second subspace of the quantum system is then applied alternatingly with some standard Hamiltonian in order to obtain a time evolution corresponding to a given function f applied to the input matrix A. The required control pulses are optimized by means of classical compression techniques such as a deep learning neural network, in order to maximize, during the information loading phase of the computation, the amount of classical information loaded into the system, and, during the computational phase, the number of elementary continuous time quantum transformations, respectively.

The invention relates to a GNSS (Global Navigation Satellite System) antenna coupling effect suppression method, system and device and a medium. The method comprises the following steps: establishing an initial GNSS antenna array receiving signal model considering a coupling effect; performing port coupling cancellation processing and radiation pattern correction on the initial antenna array receiving signal model according to a port radiation joint correction mechanism to obtain a corrected target GNSS antenna array receiving signal model; and calculating an anti-interference weight based on an output signal of the GNSS antenna array receiving signal model and the airspace covariance matrix, and acting the anti-interference weight on a receiving signal of the GNSS antenna array to realize anti-interference receiving of the GNSS signal. According to the method, a port radiation joint correction mechanism of port coupling inverse cancellation and directional diagram unitary transformation is constructed, the coupling effect in a port network is synchronously eliminated, radiation directional diagram distortion is corrected, the suppression performance of the coupling effect is remarkably improved, and the problem of coupling effect aggravation caused by compact dense array layout can be effectively solved.

This invention discloses a method and system for data backup and recovery of computing power networks based on unitary transformation. The backup and recovery method includes the following steps: S1 Dividing the original data file into blocks and representing them as symbol sequences, and establishing an index for the data blocks; S2 Mapping the symbol sequences of the data blocks to orthogonal basis vectors; S3 Generating random permutations by combining the master seed with the data blocks and version numbers, and applying random permutations to the quantum states of the data blocks to obtain backup data; S4 Compressing the backup data and storing it in a first storage area, and storing the seed parameters used for the permutations in a second secure storage area; S5 Searching the index based on the query tags input by the user to obtain a list of all data block IDs containing the query tags; S6 Reading and decompressing the backup data, obtaining the inverse permutation from the hardware security module, performing an inverse unitary transformation on each symbol, and restoring the original symbol sequence; S7 Observing and determining the symbol values ​​of the original symbol sequence, converting them back to binary data, merging them, and outputting the original file.

The invention discloses an extended Kalman filtering dynamic target tracking method for quantum neural network correction, which comprises the following steps: S1, obtaining a priori prediction state vector and a priori error covariance matrix through a classical EKF method, S2, inputting the priori prediction state vector into a classical neural network to generate a query vector, a key vector and a value vector, and performing target tracking on the query vector, the key vector and the value vector. The method comprises the following steps: acquiring a quantum line, mapping the quantum line into a rotation parameter of the quantum line, performing unitary transformation of the quantum line, calculating a Fouli operator expected value for an output quantum state to obtain an attention weight vector, calculating the attention weight vector and a value vector through a classical neural network to obtain a state correction item, and calculating to obtain a corrected state vector and a corrected error covariance matrix. And S3, calculating a posterior state estimation vector and a posterior covariance matrix at the current moment through the EKF. According to the method, accurate compensation of the high-order residual error is realized, and the capturing capability of the model on the maneuvering target is enhanced on the premise of not increasing resource consumption.

The invention discloses a quantum remote cloning method and system based on an integrated photon chip, and the method comprises the steps: dividing pump light into two paths, and respectively coupling the two paths to enter a transmitting end chip and a receiving end chip; idle photons and unknown quantum state photons to be cloned are generated in the sending end chip; photons C1, C2 and P are obtained in the receiving end chip, and the obtained photon P is coupled to the sending end chip; in a sending end chip, unitary transformation of phase adjustment or basis vector transformation is carried out on unknown quantum state photons to be cloned, X0 and X1 are obtained, and on-chip Bell state measurement is carried out on X0, X1 and P after X0 passes through a thermal modulation phase shifter; according to an on-chip Bell state measurement result, information of an unknown quantum state X to be cloned is non-locally distributed to photons C1 and C2 on a receiving end chip, and two optimal symmetric cloning states are obtained by taking the photons C1 and C2 on the offset receiving end chip.

The present invention relates to an apparatus 810 for generating control signals for measuring states of quantum elements of a quantum computer 830. A providing unit 811 provides a problem description. A transforming unit 812 converts the problem description into a quantum mechanical representation. The transforming includes determining a unitary transformation that rotates operators representing observables to be measured into a basis that results in a pure occupied number representation. A translating unit 813 translates the quantum mechanical representation into a sequence of quantum operations including unitary transformation operations to be applied to the quantum elements. The translation includes determining a unitary transformation operation based on the determined unitary transformation. A generating unit 814 generates signals for controlling the application of the determined sequence of quantum operations to the quantum computer so that a quantum mechanical representation of the problem is prepared and observables indicative of a solution to the problem are measured.

A universal photonic apparatus that performs an arbitrary discrete linear unitary operation on a source of light comprises a plurality of waveguides, including: a plurality of input ports that receive a plurality of first optical signals from a light source; a plurality of channels positioned in parallel for transmitting the first optical signals along a length of the waveguides; and a plurality of output ports for outputting second optical signals generated from the first optical signals according to a matrix operation; and a plurality of phase shifters constructed and arranged in a cascade structure at the plurality of channels of the waveguides. The matrix operation includes a unitary transformation matrix factorized into a plurality of interlaced discrete fractional Fourier transforms (DFrFT) layers and parameter diagonal phase shift layers.