54 results about "Unitary transformation" patented technology

The invention discloses a non-uniform clutter and interference cooperative suppression target fusion detection method and system, and relates to the technical field of broadband radar signal processing, and the method comprises the steps: carrying out the unitary transformation of test data, a clutter covariance matrix, a target coordinate matrix and an interference coordinate matrix based on the skew symmetry of the clutter covariance matrix; constructing a distance extension target Gradient detection statistical magnitude under the condition of a known clutter skew symmetry covariance matrix; calculating the maximum likelihood estimation of the clutter skew symmetry covariance matrix; based on the maximum likelihood estimation of the clutter skew-symmetric covariance matrix and the distance expansion target Gradant detection statistic, constructing a target detection statistic of non-uniform clutter and interference cooperative suppression; performing target fusion detection on the target detection unit based on the target detection statistical magnitude and a preset detection threshold; according to the invention, the technical problems of complex construction process and high calculation complexity of the target detector in the prior art are solved.

The invention discloses a monitoring camera image anomaly detection method and system, and relates to the technical field of intelligent monitoring, and the method comprises the steps: obtaining an original video stream, extracting a pixel matrix of a current frame, carrying out the joint coding of the pixel matrix and a motion vector field of an adjacent frame into a quantum state bit vector, inputting the quantum state bit vector into a pre-constructed anomaly detection operator, and carrying out the detection of the anomaly. Executing quantum state evolution calculation in the Hilbert space, and outputting a two-dimensional distribution matrix of each pixel region; integrating the marked binary image and the physical verification conclusion, and when the quantum anomaly probability value reaches the alarm standard and passes the physical verification, outputting an anomaly alarm signal; and the abnormal alarm signal is converted into a confrontation training sample, a cross-scene virtual sample is generated through quantum noise injection, and an abnormal detection operator is dynamically updated. According to the method, the Hilbert space quantum state evolution step is combined, unitary transformation is applied to the quantum state bit vector, the orthogonal projection operation is executed, the accurately quantified abnormal probability distribution matrix is generated, and accurate assessment of the abnormal risk is achieved.

The invention discloses a multi-time slot MAMP receiver and coding method for an MIMO multicarrier modulation system, comprising a time domain linear estimation module gamma l (.) and a symbol domain nonlinear estimation module phi l (.), where l represents the number of iterations; the time domain linear estimation module adopts a matched filter to recover the received time domain signal to obtain an estimated value of the time domain signal; transforming the estimated value into a symbol domain through unitary transformation; and the symbol domain nonlinear estimation module calculates a log-likelihood ratio of each symbol and calculates an estimated value of each symbol through estimation of the symbol domain returned by the time domain linear estimation module. According to the method, the optimal MSE detection performance can be realized with extremely low complexity in a multi-time-slot transmission scene.

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 present invention discloses a system and method for exchanging multiplexed orbital angular momentum modes based on controllable unitary transformation, comprising: a multiplexed pattern generation module for generating multiple coaxially transmitted multiplexed orbital angular momentum modes; a pattern exchange module for performing mode conversion between the multiple coaxially transmitted multiplexed orbital angular momentum modes; a pattern detection module for detecting the exchanged orbital angular momentum modes and outputting corresponding detection results; the pattern exchange module is arranged after the multiplexed pattern generation module and on the same optical axis as the multiplexed pattern generation module; and the pattern detection module is arranged after the pattern exchange module and on the same optical axis as the mode exchange module. The present invention can realize coaxial independent exchange of multiple input orbital angular momentum modes, and the exchanged modes have high mode purity. In addition, the mode coaxial exchange system has the characteristics of a large number of controllable modes, flexible functions, and independent modulation, and is suitable for all-optical mode information exchange in high-dimensional multiplexed communications.

The present invention discloses a method, system and terminal for detecting the number of radar signal sources based on density clustering. The method includes: generating an antenna array received data representation according to the target radar antenna array information, obtaining a target covariance matrix according to the antenna array received data representation, performing a unitary transformation on the target covariance matrix to obtain a target transformation matrix, and generating a radius vector corresponding to the target transformation matrix according to the Gerschgorin circle theorem; obtaining a noise background, and when the noise background is a Gaussian colored noise background, compressing and normalizing the radius vector to obtain a target radius matrix; clustering the target radius matrix according to a target clustering algorithm to obtain a clustering result; obtaining a target cluster according to the clustering result, and obtaining the number of radar signal sources according to the target cluster. The present invention improves the accuracy of estimating the number of signal sources under low signal-to-noise ratio and colored noise.

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 present invention relates to a spatial - polarization domain joint estimation method based on unitary transformation and subspace weighting, comprising: obtaining the array covariance matrix of the received data of the polarization - sensitive array according to the steering vector of the electromagnetic signal received by the polarization - sensitive array; using unitary transformation processing to convert the array covariance matrix into a real - number covariance matrix and determining the noise subspace; using the subspace weighting method to perform weighting processing on the noise subspace, and constructing a spatial - polarization domain spectral peak search function using the weighted noise subspace; performing dimensionality reduction processing on the spatial - polarization domain spectral peak search function and estimating the estimation result of the two - dimensional spatial parameters; according to the estimation result of the two - dimensional spatial parameters, performing dimensionality reduction processing on the spatial - polarization domain spectral peak search function and estimating the estimation result of the two - dimensional polarization domain parameters. The method of the present invention improves the problem of eigenvalue divergence and can maintain good parameter estimation performance when the signal - to - noise ratio is low or the number of snapshots is small.

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 present invention relates to the field of partial discharge source localization, and specifically to a method and system for localizing multiple partial discharge sources in a large substation. The method is as follows: A sensor array is composed of a movable ultrasonic sensor and a UHF sensor to collect ultrasonic signals and UHF signals generated by partial discharge sources respectively; the collected discharge signals are denoised, and the distances between the partial discharge sources and the sensor array are calculated; the denoised ultrasonic array signals are divided into multiple narrowband signals by using the discrete Fourier transform, the weighted covariance matrix after focusing transformation of all narrowband signals is averaged to obtain the weighted covariance matrix at the focused frequency points, the weighted covariance matrix at the focused frequency points is subjected to unitary transformation, and the number of partial discharge sources is estimated according to the signal source number estimation equation; spectral peak search is performed at a preset step size within the specified spatial parameter range to obtain the spatial parameters corresponding to each partial discharge source, and the coordinates of the partial discharge sources in three-dimensional space are obtained.

The invention discloses a three-dimensional matching method based on quantum approximate optimization, and the method comprises the following steps: S1, building an Isin model and a mathematical expression of a three-dimensional matching problem through Boolean variables; s2, solving a quantum model and Hamiltonian of the problem through a Fouli operator and the energy property of the three-dimensional matching problem; s3, establishing a hybrid Hamiltonian according to a quantum approximate optimization algorithm, and performing alternative unitary transformation with the Hamiltonian of the problem to obtain the minimum energy state of the three-dimensional matching problem; s4, selecting a proper unitary transformation parameter optimization algorithm according to algorithm characteristics, and establishing a classical calculation part of a quantum optimization algorithm; and S5, generating a distribution design quantum circuit of a quantum gate according to the imported problem Hamiltonian and the mixed Hamiltonian. According to the method, the energy representation, namely Hamiltonian, of the problem is obtained through a mathematical expression form, multi-depth unitary transformation is carried out after parameter optimization, a quantum system is measured, an optimal solution scheme of three-dimensional matching is obtained, and the use efficiency needing three-dimensional matching is improved.

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.

Methods, systems, and apparatus for implementing dual qubit gates using tunable couplers. In one aspect, a quantum computing system includes a first qubit and a second qubit; a tunable coupler disposed between the first qubit and the second qubit; and control electronics configured to apply a predefined unitary transformation control signal to the tunable coupler during operation of the quantum computing system to dynamically tune a coupling interaction between the first qubit and the second qubit, when a predefined unitary transformation control signal is applied to the tunable coupler for a predetermined period of time, the predefined unitary transformation control signal is associated with a target unitary transformation of the first qubit and the second qubit above a predetermined threshold.

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 present application provides a quantum error mitigation method and device, comprising obtaining a sample quantum state by linearly superposing the results of multiple first unitary transformations with a first probability acting on an exact quantum state, constructing a quantum channel model, inversely solving the quantum channel model to obtain a quasi-probabilistic model, passing a second initial state through a noisy quantum circuit to obtain an output quantum state, correcting the output quantum state using a quantum error correction code method to obtain a quantum state to be error-mitigated, and performing the operation process in the quasi-probabilistic model on the quantum state to be error-mitigated to achieve error mitigation of the sub-state to be error-mitigated. The present invention reduces the number of physical bits required to implement quantum error correction, can significantly reduce the demand for physical resources without sacrificing performance, makes the construction and maintenance of quantum computing systems more economical and efficient, and can maintain high computational accuracy even under conditions of high noise and limited operational precision.

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 relates to the technical field of broadband radar signals, and provides a target intelligent robust detection method and system under a multi-disturbance background, and the method comprises the steps: carrying out the unitary transformation of test data and a parameter matrix set based on the skew symmetry characteristic of a clutter covariance matrix, and constructing a robust detection frame; performing correlation calculation estimation under the condition of no target hypothesis and the condition of target hypothesis, and constructing detection statistics of the target intelligent robust detection method under the multi-disturbance background; and determining a detection threshold according to a preset false alarm probability, comparing the detection statistic with the detection threshold, and determining whether the current to-be-detected distance unit has a distance expansion target according to a comparison result. According to the method, the dependence on the training data volume is remarkably reduced, meanwhile, the estimation precision of the unknown clutter covariance matrix is greatly improved, powerful support is provided for target self-adaptive detection under the small sample condition, and the method has application and popularization value.

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.

A system according to one aspect of the present disclosure comprises: an input unit for inputting the quantum state of n quantum bits to a quantum computer; and a calculation unit for executing, by controlling the quantum computer, a quantum calculation that involves repeating a unitary transformation in which is included a pseudo-random function taking a bit string of n / 2 bits as input / output, a Hadamard transform, and swapping between high-order n / 2 quantum bits and low-order n / 2 quantum bits on the quantum state a predetermined number of times.