15 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.

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 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.

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 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 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 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.

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.

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 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.

A method, apparatus, device, and storage medium for determining the topological type of a quantum system are provided. The proposed method includes: using a neural network for the quantum system, determining multiple quantum states of the quantum system by inserting magnetic flux into the quantum system, wherein the neural network represents the wave function of the quantum system, and the multiple quantum states correspond to the inserted multiple magnetic fluxes; determining the corresponding polarization states of the quantum system under the multiple quantum states based on the neural network; and determining the topological type of the quantum system based on the corresponding polarization states under the multiple quantum states. In this manner, by inserting magnetic flux into the quantum system and utilizing a neural network, the topological type of the system can be determined, thereby facilitating the acquisition of more properties of the system.