53 results about "Wave function" patented technology

The invention provides a neural network prediction method and device for two-dimensional quantization vortex dynamics, and the method comprises the following steps: S1, determining a two-dimensional vortex dynamics equation for a to-be-predicted flow field, and converting the two-dimensional vortex dynamics equation into a Schrodinger equation of a quantum system; s2, obtaining wave function evolution data of the quantum system according to a Schrodinger equation, and generating a wave function data set; s3, constructing a full-connection layer neural network model, and performing phase integration on the full-connection layer neural network model; s4, introducing a normalization factor into the full-connection neural network model; s5, training the full connection layer neural network model by using the wave function data set; s6, performing wave function prediction according to a given initial value by using the trained full-connection layer neural network model; and S7, converting the predicted wave function into flow field evolution. According to the method provided by the invention, the conservation law of the system can be ensured in the prediction of the Schrodinger system, so that the flow field prediction precision can be ensured in a long time period.

Methods, systems and apparatus for performing quantum state preparation. In one aspect, a method includes the actions of defining a target quantum state of a quantum system, wherein time evolution of the quantum system is governed by a target Hamiltonian, and defining a total Hamiltonian that interpolates between an initial Hamiltonian and the target Hamiltonian, wherein the total Hamiltonian is equal to the initial Hamiltonian at an initial time and is equal to the target Hamiltonian at a final time; approximating the time evolution of the total Hamiltonian using a truncated linear combination of unitary simulations to generate a truncated time evolution operator; evolving a ground state of the initial Hamiltonian according to the truncated time evolution operator for a truncated number of time steps to generate an intermediate state; and variationally adjusting the intermediate state to determine a wavefunction that approximates the target quantum state of the quantum system.

This disclosure relates to a method for determining a characteristic of a wave function of electrons. The method comprises running a quantum circuit multiple times. The quantum circuit comprises qubits and is configured to represent an eigenstate of a Hamiltonian of the electrons. After each time of running the quantum circuit, a value is measured of each qubit to obtain multiple bit strings encoding respective basis functions. The method determines measurement statistics over the bit strings and calculates, based on the measurement statistics a wave function coefficient, including a sign value of each measurement, for each basis function encoded by the bit strings. Then, the method calculates an energy value of the wave function based on the wave function coefficient for each basis function and repeats these steps adjusting parameters of the quantum circuit to iteratively minimise the energy value to thereby improve the characteristic of the wave function.

The invention provides a flow field noise reduction method, system and equipment based on a Koltzburg-Landao theory, and the method comprises the steps: obtaining wave function evolution data of a flow field and a corresponding velocity field according to a Schrodinger equation based on a Krasbsh method, and obtaining a velocity field and a wave function initial data set; adding noise into the velocity field part in the initial data set to obtain a noise data set; constructing a neural network model, and introducing a Koltzburg-Landai energy functional into a loss function of the neural network model; training a neural network model by using the noise data set to obtain a trained neural network model; and performing noise reduction on a given noise velocity field by using the trained neural network model to obtain a noise-reduced velocity field. According to the method, the GL theory and the neural network are combined, the corresponding wave function can be found from the noise velocity field, noise reduction is completed, velocity field data of noise reduction are reconstructed, and it is guaranteed that the flow field of noise reduction meets the requirements of physical laws and practical application.

This Continuation-in-Part extends the wave-interference-based collapse model first proposed in the Modified Schrödinger Equation (MSE) framework to five foundational quantum phenomena: tunneling, entanglement, measurement collapse, time asymmetry, and the resolution of Many-Worlds interpretations.The invention models collapse as a physical consequence of interference between the observer wave and the quantum system wavefunction, characterized by a curvature-based localization mechanism. This framework enables tunable collapse control, non-binary measurement outcomes, and outcome selection through engineered interference, providing a unified physical mechanism with broad technological applications.

The invention relates to the technical field of geophysical exploration, in particular to a polymorphic seismic exploration method and system, and the method comprises the steps: obtaining common midpoint discretized seismic collection data; based on a quantum state superposition theory, constructing wave function expression of a seismic wave field, and representing the seismic wave field as superposition of a reflection wave state and a scattering wave state; carrying out fusion processing on the acquired data under a weak constraint condition to obtain fused wave field data; carrying out wave state decomposition on the fused wave field data, and decomposing the fused wave field data into reflected wave field data and scattered wave field data; generating an underground interface structure image based on the reflected wave field data; the invention further provides a corresponding system, the system comprises a polymorphic acquisition subsystem, a quantum state wave field processing subsystem, a weak constraint fusion subsystem and a probability domain interpretation subsystem, the resolution limit of traditional reflected wave seismic exploration is broken through, and the probability distribution image of underground medium scattering characteristics is generated based on scattered wave field data. The problem of non-uniform and ultra-small-scale medium imaging is solved.

The application discloses a kind of method, device and medium for calculating the energy of target system using quantum chemistry, method includes: first determining target system information, target system information includes the Hamiltonian of target system, electronic information and electronic spin-orbit information, based on electronic information and electronic spin-orbit information, obtain the Hartree Fock state of fermion form of target system, by pre-setting coding mode, the Hartree Fock state of fermion form is encoded to qubit, and the quantum state of Pauli operator form is obtained, finally, according to the Hamiltonian of target system, and based on the quantum state of Pauli operator form and evolution wave function, the energy of target system is calculated, it can support the realization of quantum chemistry simulation to calculate the energy of target system, improve the calculation speed and calculation accuracy, promote the further development of quantum chemistry simulation application.

The present application relates to the technical field of geophysical exploration, in particular to a multi-state seismic exploration method and system, the method comprising: obtaining common center point discretization seismic acquisition data; constructing a wave function expression of a seismic wave field based on quantum state superposition theory, representing the seismic wave field as a superposition of reflection wave states and scattering wave states; performing fusion processing on the acquisition data under weak constraint conditions to obtain fused wave field data; performing wave state decomposition on the fused wave field data to decompose it into reflection wave field data and scattering wave field data; generating an underground interface structure image based on the reflection wave field data; and generating a probability distribution image of the scattering characteristics of the underground medium based on the scattering wave field data, the present application also provides a corresponding system, comprising a multi-state acquisition subsystem, a quantum state wave field processing subsystem, a weak constraint fusion subsystem and a probability domain interpretation subsystem, which breaks through the resolution limit of traditional reflection wave seismic exploration and solves the imaging problem of non-uniform and very small scale media.

The various embodiments pertain to extracting one or more noiseless configurations from a collection of noisy configurations generated by a quantum processor. A configuration can be represented as a series of bits, 1's and 0's, whereby 1 indicates a spin orbital is occupied and 0 indicates spin orbital is empty. Noise in the quantum system can cause a respective bit to be flipped from a 0 to a 1, and vice-versa. During removal of the noise effect(s), bits can be flipped from their current value to an alternate value (e.g., 0 → 1, 1 → 0). After bit flipping, a Hamiltonian diagonalization process can be applied to the noiseless configuration to generate an eigenstate from which a ground state of the system represented by the noisy configuration can be determined. The system can be an atom or molecule, with the bits relating to a spin orbital of an electron.

The invention discloses a machining wear prediction method, and relates to the technical field of machining monitoring and intelligent prediction. The method specifically comprises the following steps that the quantum state dynamic state of microscopic particles on the contact interface of the cutter and a workpiece is described through a quantum mechanics equation frame, and the frame is constructed based on a Schrodinger equation containing dissipation items; in response to input machining parameters and cutting force data, the total energy of the machining process is output through a data driving prediction module, and the machining parameters comprise the cutting speed, the feeding amount, the tool rake angle, the cutting depth and the cutting width; when the total energy output exceeds a set threshold value, analyzing a quantum mechanics equation through a solving module embedded with physical constraints to obtain microscopic particle wave function probability distribution; on the basis of wave function probability distribution, particle transition behaviors are calculated through a cross-scale mapping module, the macroscopic tool abrasion loss is associated, and therefore an abrasion prediction value is generated. The method aims at improving the accuracy of tool wear prediction based on the quantum mechanics theory and the quantum machine learning technology.

The invention discloses an SQL classification method and system based on a standardized Born network and a model training method and system, and belongs to the technical field of network security. The method comprises the steps that feature vectors of SQL statements and corresponding real tags are obtained, and the feature vectors are mapped to a non-negative region and normalized; the feature vectors of the SQL statements serve as input of a regularization Born network model, labels of the SQL statements serve as classification results of the regularization Born network model, the regularization Born network model is trained, the trained regularization Born network model calculates the collapse probability of conversion from a wave function of a superposition state of the feature vectors to a quantum state, and the collapse probability of conversion from the wave function to the quantum state is calculated. Classifying the SQL statements according to the collapse probability; according to the method, the Born theory is used for researching SQL injection, and the detection accuracy and the detection efficiency of the SQL are remarkably improved.

Aspects of the present disclosure describe a method including predicting a first set of ansatz terms and a first plurality of amplitudes associated with the first set of ansatz terms; minimizing energy of the system based on the first set of ansatz terms and the first plurality of amplitudes; computing perturbative corrections using one or more ansatz wavefunctions; determining whether energy of the system converges; and predicting, in response to determining that the energy of the system does not converge, a second set of ansatz terms and a second plurality of amplitudes associated with the second set of ansatz terms.

System and method for simulated quantum annealing to solve optimization problems. The method comprises performing simulated quantum annealing by: generating quantum annealing simulations of an objective function that represents an optimization problem by initializing a guiding wave function with a variational ansatz, wherein the guiding wave function represents a ground state wave function of a quantum optimization Hamiltonian that the objective function represented as a classical Hamiltonian and a non-commutating driving term causing quantum fluctuations; stochastically evolving the quantum annealing simulations under a time-dependent driving schedule according to an imaginary-time Schrödinger equation supplemented by the guiding wave function until a predetermined condition is met; and outputting a plurality of output states responsive to the predetermined condition being met, each output state representing a solution to the optimization problem of the application-specific parameters within the application-specific constraints.

The invention provides a filtering-based satellite orbit extrapolation method, which comprises the following steps of: establishing a mathematical model of a wave function by taking a motion state of a satellite as a wave, and integrating the mathematical model of the wave function into a wave function filtering module, a physical quantity calculation module and a wave function evolution module; constructing a satellite trajectory prediction model on the basis of a wave function filtering module, a physical quantity calculation module and a wave function evolution module; and inputting the satellite orbit extrapolation data at the previous moment and the real-time observation data into the satellite orbit prediction model to realize wave function evolution, wave function filtering and physical quantity calculation, and outputting the satellite orbit extrapolation data at the current moment. According to the method, a signal analysis method with clear physical significance is realized by utilizing a circulation module and wave function filtering and evolution, and observation-track integrated processing and short-arc track extrapolation performance improvement are realized.

A method for modeling a particle wave function on a quantum computer using qubits. The method comprises spatially dividing the wave function of the particle into a system comprising at least two discrete elements represented respectively by a qubit; and using the at least two qubits in a quantum circuit to obtain a model of the particle wave function in such a way that in all of combinations of first and second states of the at least two qubits that the system may have, there is only one of the at least two qubits that has a first state which is different than the second state of each one of the other of the at least two qubits; or there is only one group of states of the at least two qubits that form a first state which is distinguishable with the second state of each one of the other of the at least two qubits. The each one of the states of the at least two qubits or group of states represents either a presence or an absence of the particle in the spatial discrete location.

The application discloses a method for unmanned aerial vehicle cluster to cooperatively detect interference areas and locate the center, which comprises the following steps: activating the airborne quantum-enhanced inertial navigation system to obtain absolute position without drift when the navigation is disturbed; combining the multi-sensor fusion measurement value and the initial credibility evaluated dynamically to encode into a logic quantum bit parameter; constructing a multi-bit global quantum superposition state at the fusion center, executing a quantum consensus algorithm containing a dynamic oracle operator, and using quantum interference to quickly amplify the probability amplitude of the honest node group; measuring the ground state after the wave function collapses to accurately strip the Byzantine malicious nodes; finally, extracting a pure high-trust data set and iteratively locating the interference center based on the particle filtering algorithm. The application breaks away from the dependence on external navigation, improves the computing efficiency of anti-malicious fraud and the positioning robustness in complex nonlinear environments.

To dispense with the current ocean wave prediction without causing approximately one scan delay display when extracting target echoes without extracting ocean wave clutter as false target echoes using a radar provided on a marine vessel or the like.SOLUTION: An ocean wave analysis device 2 comprises: a scan data analysis unit 21 that analyzes wavelengths and wave directions of past ocean waves on the basis of past scan data; a sweep data wavelength calculation unit 22 that calculates an apparent wavelength of the current ocean wave in a certain direction on the basis of the wavelengths and wave directions of the past ocean wave for current sweep data; and a sweep data phase analysis unit 24 that performs fitting with a sine function and / or a cosine function having the apparent wavelength of the current ocean wave in the certain direction for the current sweep data and analyzes an apparent phase of the current ocean wave in the certain direction.SELECTED DRAWING: Figure 4

The embodiment of the invention relates to a wave function optimization method and device, equipment and a storage medium. The method proposed herein comprises: deriving a first heuristic wave function representation from a first wave function representation of the quantum system by reducing the energy of the quantum system in a parameter space corresponding to a wave function of the quantum system; determining, in a physical space corresponding to the quantum system, an estimate of the first reference quantum state by reducing an energy estimate corresponding to the first heuristic wave function representation; and updating the first wave function representation to a second wave function representation in a parameter space based on the first reference quantum state.

The invention relates to a method for solving the Schrödinger equation ( H Ψ = E Ψ ) . In this eigenvalue equation, the Hamilton operator describes (H) the physical problem. The procedure is designed to find the corresponding wavefunction (Ψ) and energy (E) to solve the eigenvalue problem. The procedure includes the following steps: - Transforming the eigenvalue problem ( H Ψ = E Ψ ) into a nonlinear differential equation by replacing the wavefunction (Ψ) by Ψ = g ⋅ ef is replaced, - Inserting EQN011 into the eigenvalue problem, where (f) is a numerical function and (g) is a modulation function, which is important for excited states, - Applying an iterative process to calculate (f) and adjust (g), which can be terminated when sufficient accuracy is achieved, - Determine the wave function (Ψ) by inserting the determined values ​​for (f) and (g) into equation EQN011.

The present invention belongs to the field of barrier vibration isolation technology, specifically to an analytical calculation method for the scattering of cylindrical waves by periodic barrier structures. This proposed analytical calculation method for the scattering of cylindrical waves by periodic barrier structures first utilizes a wave function expansion method to perform a zero-order Hanke expansion of the incident cylindrical wave. The scattered wave fields of all piles are then solved using the boundary conditions of all piles. This theoretical method describes the vibration isolation effect of a finite group pile barrier on cylindrical waves, addressing the lack of consideration of the impact of incident wave curvature in previous theoretical analyses.

The present disclosure discloses a method for obtaining optimal variational parameters of a ground state wave function of a Hamiltonian system. The method includes initializing a plurality of variational parameters and sending the variational parameters to a quantum computing part to output a plurality of measurement results. The method includes transmitting the measurement results to a classical computing part to update the plurality of variational parameters based on the plurality of measurement results and an update rule, and determining whether the measured energy satisfies a convergence rule. When the measured energy does not satisfy the convergence rule, the method includes sending the plurality of updated variational parameters to the quantum computing part for the next iteration; and when the measured energy satisfies the convergence rule, the method includes obtaining a plurality of optimal variational parameters of the Hamiltonian system.

The invention provides a spatial layout automatic division method based on quantum mechanical simulation and competitive region growth. The method comprises three core stages of quantum system modeling, wave function evolution simulation and constraint region allocation. According to the method, firstly, functional attributes of space units are converted into quantum mechanical parameters, and optimal distribution of the positions of the space units is achieved through three-stage Schrodinger equation evolution including a high-temperature quantum state, a medium-temperature coherent state and a low-temperature ground state; and then, based on a quantum simulation result, generating a spatial layout meeting the area proportion requirement of each partition by adopting a weighted Voronoi initialization and competitive boundary adjustment algorithm, and finally, carrying out image processing to obtain a layout scheme. According to the method, through organic combination of a quantum mechanics framework and a region growth mechanism, automatic conversion from functional requirements to spatial layout is realized, the spatial relationship reasonability is kept while the area constraint is met, and a physically inspired calculation solution is provided for the fields of building information modeling and spatial planning.

The objective is to improve the estimation accuracy of total energy by using neural network potential (NNP). One aspect of the present invention is a training apparatus comprising a control unit for training an estimation model, which is a mathematical model for estimating, on the basis of a feature quantity to be evaluated representing from a first sum to a u-th sum, the energy of an atom to be evaluated, wherein the u-th sum is the sum of: a three-dimensional wave function representing a u-th atomic orbit from the one having the largest occupied energy level as an atomic orbit of the atom to be evaluated located in a system including one or multiple atoms; and a three-dimensional wave function of each u-th atomic orbit from the one having the largest occupied energy level as an atomic orbit of each atom within a predetermined range of distance from the object to be evaluated from among atoms in a system different from that of the object to be evaluated, and, in training, the estimation model is updated such that the difference between the sum of results obtained by executing the estimation model for each atom in the system and the energy of the system estimated by a density functional theory for the system is reduced.

The objective is to improve the accuracy of total energy estimation by using neural network potential (NNP). One aspect of the present invention is a training device comprising a control unit for training an estimation model, which is a mathematical model for estimating the energy of atoms to be evaluated on the basis of feature quantities to be evaluated represented from first to u-th sums, wherein the u-th sum is the sum of: a three-dimensional wave function representing a u-th atomic orbit starting from an orbit having a maximum occupancy level as an atomic orbit of an atom to be evaluated located in a system comprising one or more atoms, a three-dimensional wave function of each u-th atomic orbit from an orbit having a maximum occupancy level with an atomic orbit of each atom that is within a predetermined distance range from the target to be evaluated among atoms that are different from the target to be evaluated in the system, and in the training, a three-dimensional wave function of each u-th atomic orbit from the orbit having the maximum occupancy level is obtained. The estimation model is updated such that the difference between the sum of the results obtained by executing the estimation model on each atom in the system and the energy of the system estimated by the density functional theory for the system is reduced.

The invention provides a reconstruction method, a controller and a reconstruction system for an atomic axial wave function in optical tweezers. The method comprises the steps that initial quantum state preparation is conducted on single atoms, target atoms in a moving quantum state are obtained, and the target atoms are loaded in optical tweezers in a vacuum cavity; systematically changing the evolution time of the target atom in the optical trap and the trap frequency of the optical trap so as to repeatedly scan different sampling points in the phase space; on each sampling point, scanning relative phases of two arms of the Mach-Zehnder interferometer and measuring photon counting values of two output ports to obtain a normalized interference signal; a sampling value of a characteristic function of a motion quantum state at a sampling point is extracted from the interference signal, evolution time corresponds to a phase space rotation angle, and well frequency corresponds to an equivalent momentum; numerical inverse Fourier transform is carried out on the collected two-dimensional characteristic function discrete data set, and a Wigner function of an initial axial movement quantum state is reconstructed;

The present disclosure discloses a method and apparatus for simulating a quantum circuit, a computer device, a storage medium, and a program product. The method includes: acquiring a polynomial by converting a unitary coupled-cluster (UCC) factor, wherein: an exponential part of the UCC factor comprises an anti-hermitian excitation operator G, and the polynomial comprises a linear term of the G and a quadratic term of the G; acquiring N UCC factors for constructing the UCC quantum circuit, N being an integer greater than 1; acquiring a wave function for representing a quantum state of an object; and obtaining a result wave function by performing operation in the form of the polynomial for each UCC factor in the N UCC factors on the wave function, wherein the result wave function represents the quantum state of the object after quantum simulation with the UCC quantum circuit.

The application relates to the technical field of strong-field high-harmonic generation, and particularly discloses a double-electron quantum correlation quantitative method and system based on Bohm mechanics, which comprises the following steps: establishing a time-dependent Schrodinger equation containing an external laser field, obtaining a system ground state wave function and generating N pairs of Bohm particles initial coordinates, and performing time evolution on the wave function; according to the evolved wave function, the accurate velocity field and the accurate motion trajectory of each Bohm particle are calculated; based on the marginal probability density and the marginal probability flow density, the marginal velocity field not containing instantaneous quantum correlation effects is constructed, and the corresponding correlation-free reference trajectory is generated; the accurate trajectory is compared with the reference trajectory, and the correlation model of the correlation quantum potential and the high-harmonic radiation intensity is established. Through comparison of the accurate Bohm trajectory and the correlation-free reference trajectory constructed based on the marginal velocity field, the quantum correlation effects in a strong-field double-electron system are quantitatively separated and visually output.

This Continuation-in-Part extends the wave-interference-based collapse model first proposed in the Modified Schrödinger Equation (MSE) framework to five foundational quantum phenomena: tunneling, entanglement, measurement collapse, time asymmetry, and the resolution of Many-Worlds interpretations. The invention models collapse as a physical consequence of interference between the observer wave and the quantum system wavefunction, characterized by a curvature-based localization mechanism. This framework enables tunable collapse control, non-binary measurement outcomes, and outcome selection through engineered interference, providing a unified physical mechanism with broad technological applications.

The embodiment of the invention relates to a method and device for determining quantum system state representation, equipment and a storage medium. The method proposed herein includes: obtaining a pseudo Hamiltonian for a quantum system, the pseudo Hamiltonian configured to approximate a true Hamiltonian of the quantum system using a local interaction between a plurality of valence electrons in a subsystem; determining the energy of the quantum system based on the pseudo Hamiltonian and the neural network representing the wave function of the quantum system; and reducing the energy of the quantum system by using a Monte Carlo algorithm, and updating the neural network.

The application provides a neural network prediction method and device for two-dimensional quantized vortex dynamics, and the method comprises the following steps: S1. For a flow field to be predicted, a two-dimensional vortex dynamics equation of the flow field is determined, and the two-dimensional vortex dynamics equation is converted into a Schrodinger equation of a quantum system; S2. Wave function evolution data of the quantum system is obtained according to the Schrodinger equation, and a wave function data set is generated; S3. A full connection layer neural network model is constructed, and phase integration is performed on the full connection layer neural network model; S4. A normalization factor is introduced into the full connection neural network model; S5. The full connection layer neural network model is trained by using the wave function data set; S6. The trained full connection layer neural network model is used to predict a wave function according to a given initial value; and S7. The predicted wave function is converted into flow field evolution. According to the method provided by the application, the conservation law of the system can be ensured in the prediction of the Schrodinger system, so that the accuracy of the flow field prediction can be ensured in a long period.