31 results about "Wave function" patented technology

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 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.

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 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 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.

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.

The application provides a filter-based satellite orbit extrapolation method, comprising: taking the motion state of a satellite as a wave to establish a mathematical model of a wave function, 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; taking the wave function filtering module, the physical quantity calculation module and the wave function evolution module as a basis to construct a satellite trajectory prediction model; inputting the satellite orbit extrapolation data of the last moment and real-time observation data into the satellite trajectory prediction model to realize wave function evolution, wave function filtering and physical quantity calculation, and outputting the satellite orbit extrapolation data of the current moment. The method of the application realizes a signal analysis method with clear physical meaning through the use of a cycle module, wave function filtering and evolution, realizes observation-trajectory integrated processing and short-arc orbit extrapolation performance improvement.

Aspects of the present disclosure describe a method comprising: predicting a first set of ansatz terms and a plurality of first amplitudes associated with the first set of ansatz terms; minimizing an energy of a system based on the first set of ansatz terms and the plurality of first amplitudes; computing a perturbation correction using one or more ansatz wave functions; determining whether the energy of the system is converged; and in response to determining that the energy of the system is not converged, predicting a second set of ansatz terms and a plurality of second amplitudes associated with the second set of ansatz terms.

The invention introduces a Total Wave structure of the Modified Schrödinger Equation (MSE) that deterministically governs quantum collapse using co-evolving field-specific wave-functions. Unlike conventional quantum mechanics, which treats wavefunction collapse as a postulated or probabilistic phenomenon, this invention models collapse as a structured outcome of wave interference from multiple physical fields—electromagnetic, gravitational, strong nuclear, and weak nuclear—each governed by its own nonlinear MSE.The system wavefunction Ψp evolves under the influence of these field-specific observer waves Ψj, and collapse occurs when the total interference term exceeds a defined threshold. This model supports not only collapse but also resonance (sub-threshold wave alignment) and non-collapse (persistent superposition), forming a tri-state mechanism of existence.The Total Wave MSE formalism applies to quantum hardware design, computation, sensing, and AI-guided control. By treating collapse as an engineered interference event, the invention enables deterministic reality selection across multiple domains. It extends the scope of earlier MSE patents and proposes that this structure represents a scalable, tunable, and physically grounded Theory of Everything (TOE).

The invention discloses an applicant information risk assessment method and system based on large model analysis, and relates to the technical field of data intelligence, and the method comprises the steps: obtaining a call voiceprint of an applicant, calculating a dynamic stress index and a voice stability score through a deep convolutional neural network, and generating a biological feature data set; based on the biological characteristic data set, solving a wave function gradient norm through a quantum field theory model to generate a dynamic fusion weight parameter, mapping an applicant portrait API to a three-dimensional hyperbolic manifold to calculate a geodesic distance, and generating a fusion risk score and a key contradiction label; based on the key contradiction label, extracting an associated entity from a historical case library, constructing a causal atlas node, calculating a quantum coherence influence weight, and generating a causal atlas structure; according to the method, the wave function gradient norm is solved through the quantum field theory model, and physical interpretability modeling of the multi-source heterogeneous feature fusion process is achieved.

The invention discloses a large-scale structure sound radiation prediction method based on a wave function method in a broadband range, and the method comprises the following steps: 1) constructing a sound pressure field approximate discrete equation for an acoustic space omega with a sound source; 2) constructing a fundamental wave function expression which satisfies a Somerfeld radiation condition; and 3) solving a weight coefficient in the fundamental wave function, and then inputting a fundamental wave function vector into the sound pressure field approximate discrete equation to obtain a sound pressure level frequency response curve. According to the method, a spherical harmonic function (describing an angular vibration mode) and a Hankel function (describing radial far-field radiation) are combined, and seamless calculation of a full-space sound field is realized through dynamic weight distribution. And structural vibration data (such as an FEM simulation result) is used as a boundary condition, so that the solution is ensured to conform to an actual physical rule. And the model is adaptively optimized: the truncation order of the primary function is dynamically adjusted according to the sound wave number, and the calculation efficiency is improved while the precision is ensured.

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.

The invention relates to the technical field of quantum computing, in particular to a digital quantum state preparation method and system based on a CPS device cluster and millimeter waves, and the method comprises the steps: carrying out the dynamic marking of a CPS device through a classical control CPS device; the classic control CPS device issues a data generation rule to each CPS device, and each CPS device generates discrete data according to the data generation rule; the CPS device transmits the discrete data to a classic control CPS device through millimeter waves, the transmission process is modeled as a one-dimensional infinite deep potential well model, signal characteristics are described through the mode value of a wave function corresponding to the amplitude of a millimeter wave signal, and signal parameters are mapped to the mode value, probability density and phase of the wave function; the classic control CPS equipment receives discrete data of all the in-use equipment groups, and generates digital quantum bits through the preset quantum state mapping rule, so that the problems of high equipment cost, poor compatibility and low data transmission efficiency in the prior art are solved.

To improve the accuracy of total energy estimation using Neural Network Potential (NNP).SOLUTION: A learning device is provided with a control unit that performs the training of an estimation model, the estimation model being a mathematical model that estimates the energy of an atom to be evaluated based on evaluation target features representing the sum from the first sum to the U-th sum, the U-th sum being the sum of a three-dimensional wave function representing the u-th atomic orbital, counted from the highest occupied level, of the atomic orbital of the evaluation target atom positioned in a system containing one or more atoms, and three-dimensional wave functions of the u-th atomic orbitals, counted from the highest occupied level, of atoms in the system different from the evaluation target atom that are within a predetermined distance from the evaluation target atom. In learning, the estimation model is updated to minimize the difference between the total sum of the result of executing the estimation model for each atom in the system and the energy of the system estimated by density functional theory with respect to the system.SELECTED DRAWING: Figure 1

Methods, systems, and computer-readable media are provided for performing state-selective readout for non-classical computing, including: (a) applying one or more first trapping electromagnetic energies to a plurality of qubits to obtain the plurality of qubits in an array of spatially distinct optical trapping sites, wherein each qubit of the plurality of qubits is configured to collapse into either a first state or a second state with application of a projective measurement; and (b) applying one or more second trapping electromagnetic energies to the plurality of qubits in the array of spatially distinct optical trapping sites to selectively shift a first portion of a wavefunction of each of the plurality of qubits based at least in part on whether the first portion of the wavefunction is in the first state or the second state.

The invention discloses a torque optimization distribution method of a dual-motor driving system for a 1ms high-precision control period, which comprises the following steps of: 1, constructing a real-time dual-motor torque distribution mechanism based on an interpolation model and an improved quantum particle swarm optimization (QPSO) algorithm, updating an individual optimal position and global optimum according to the fitness of each particle, outputting front and rear motor torques corresponding to the optimal comprehensive efficiency; 2, on the basis of the real vehicle speed and the target vehicle speed, particle search boundaries are limited on the basis of an improved quantum particle swarm optimization (QPSO) algorithm, quantum behaviors are evolved, a multi-dimensional composite fitness function is introduced, and the optimal compensation torque and the optimal convergence curve are output; according to the method, the bound state model in quantum mechanics is introduced, the particle position evolution behavior is described by the probability distribution of the wave function, and the capability of jumping out of the local extremal region of the particles is enhanced through the quantum tunneling effect, so that the overall global optimization performance is improved.

The invention provides a three-dimensional spiral flow field reconstruction method and device based on spin vector-to-wave function mapping. The method comprises the following steps: establishing a corresponding curve cylindrical coordinate system according to the geometry of a turboshaft with a non-zero spiral flow field, and constructing an analytical expression of a spin vector under the coordinate system; establishing a conversion equation from a spin vector to a wave function based on a variational principle; splitting the conversion equation into a plurality of sub-equations by adopting an operator splitting method, wherein the sub-equations comprise an equation related to speed, a diffusion equation, an equation for carrying out normalization operation on a wave function and an equation for carrying out non-divergence projection on the wave function; and iteratively solving the plurality of sub-equations until the wave function converges, thereby obtaining the wave function corresponding to the spin vector, and completing the mapping from the spin vector to the wave function. According to the method, accurate conversion from the spin vector to the wave function can be realized in the flow field with a complex topological structure, and the conservation characteristic of the system is kept, so that the vortex structure in the three-dimensional flow field is accurately represented and reconstructed.

The invention relates to the technical field of quantum precision measurement, in particular to a super-cold atomic wave function density measurement method, device and system and a storage medium. According to the method, a dark-state selective transfer mechanism of three-energy-level atoms is utilized, two groups of spatial modulation lattice light with the same frequency and adjustable phases are precisely designed, sub-wavelength detection of super-cold atomic wave function density distribution is achieved, and compared with a super-cold atomic wave function density imaging technology in the prior art, the method has the advantages that the sub-wavelength detection efficiency is improved. The requirements of spatial resolution and high signal-to-noise ratio are considered at the same time, and the wave function density measurement and imaging precision is effectively improved.

The application relates to the technical field of quantum computing, in particular to a digital quantum state preparation method and system based on a CPS device cluster and millimeter waves, which comprises the following steps: a classical control CPS device dynamically marks the CPS device; the classical control CPS device issues a data generation rule to each CPS device, and each CPS device generates discrete data according to the data generation rule; the CPS device transmits the discrete data to the classical control CPS device through millimeter waves, the transmission process is modeled as a one-dimensional infinite deep potential well model, the signal characteristics are described by the modulus value of the wave function corresponding to the amplitude of the millimeter wave signal, and the signal parameters are mapped to the modulus value, the probability density and the phase of the wave function; the classical control CPS device receives the discrete data of all in-use device groups, generates a digital quantum bit through a preset quantum state mapping rule, and solves the problems of high device cost, poor compatibility and low data transmission efficiency in the prior art.

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.