74 results about "Coupling matrix" patented technology

The invention discloses a PID temperature control system and method for a semiconductor etching machine, and relates to the field of temperature control, and the system comprises a coupling relation construction module, a temperature sensing confidence module, a decoupling compensation module, a coupling relation dynamic updating module, and a transient temperature change control module. According to the invention, by constructing the coupling relation matrix and the inverse matrix thereof, decoupling control of multi-area temperature control is realized, cross interference is effectively suppressed, and the temperature control precision is improved. And a multi-point temperature measurement fusion and anti-interference algorithm is introduced, so that the temperature measurement accuracy and the system robustness are enhanced. A response residual vector is associated with a control vector, and a coupling matrix is dynamically optimized, so that the system has self-learning and model self-adaption capabilities and adapts to working condition changes. And a transient temperature change quick response mechanism is set, so that the control priority can be improved and the PID parameters can be adjusted when the temperature changes suddenly, the response speed and the control stability of the system to abnormal temperature change are remarkably improved, and the thermal uniformity and the process consistency in the etching process are ensured.

The invention relates to the technical field of laser control, and discloses a multi-axis laser flight compensation control method and device, and the method comprises the steps: collecting the position, speed and acceleration data of multi-axis motion, carrying out the fusion and denoising, and obtaining a smooth multi-axis state vector; constructing an inter-axis coupling matrix to determine the dynamic interaction strength, and extracting a dominant axis pair and a preliminary deviation trend vector when the dynamic interaction strength exceeds a threshold value; simulating trajectory evolution to obtain prediction deviation distribution, and constructing a compensation control law to determine a multi-axis cooperative correction increment; and when the track stability does not reach the standard, iteratively updating the matrix to obtain a refined model, generating a real-time adjustment instruction and feeding back the instruction to an actuator, and updating a state vector after an effect is verified. According to the method, the multi-axis laser flight path can be accurately compensated, the control precision and the dynamic adaptability are improved, and technical support is provided for precision machining.

The invention discloses a U-shaped aqueduct prestress multi-beam cooperative tensioning control method and system. The method comprises the steps that S1, a quantitative derivation model is constructed, based on an aqueduct structural mechanical equilibrium equation, a prestress coupling effect item is introduced for calculation, a prestress coupling matrix is output, and an initial tensioning sequence is derived; the device is simple in structure, and an initial tensioning sequence is deduced by establishing a mechanical equilibrium equation and introducing a coupling effect item; meanwhile, stress / displacement deviation data collected by a monitoring system in real time are fed back to an edge calculation terminal to calculate a control strategy in real time, adjustment is executed by a tensioning device, and therefore a field data closed-loop optimization mechanism is constructed, the tensioning force and sequence can be dynamically corrected, the limitation of a static model is broken through, and the construction efficiency is improved. And a displacement constraint term is introduced as a punishment or control condition in the optimization process, so that deformation overrun of key parts of the structure is effectively prevented, and the precision, safety and intelligent level of prestress construction are remarkably improved.

The invention relates to the technical field of transformer arc fault detection, in particular to an optical fiber sensing detection method, system and device for an arc fault in a transformer bushing and a storage medium. Acquiring internal pressure and flow velocity data of the casing by constructing an optical fiber sensing detection model, identifying fault feature points and determining a pressure-flow velocity relationship; establishing a pressure change prediction model in combination with the environmental parameters to perform first prediction, and analyzing pressure and flow velocity dynamic characteristics to obtain a dual-drive fault threshold to perform second prediction; and an arc fault diagnosis model is constructed based on the double-parameter coupling matrix, and a time-varying early warning model is established in combination with fault evolution to realize fault prediction. According to the invention, the technical problem that the traditional detection method cannot monitor the arc fault in the bushing in real time is solved, the accurate identification of fault features, the early warning of precursor signals and the accurate prediction of residual life are realized, the detection precision and real-time performance are obviously improved, and reliable guarantee is provided for the safe operation of the transformer.

The invention belongs to the technical field of microwave filter design, and particularly relates to a microstrip filter of a CQ frequency-variable coupling structure and a design method of the microstrip filter. The method comprises the following steps: firstly, according to required filter indexes, such as order, center frequency, bandwidth, return loss and transmission zero position, solving a transverse matrix M of a filter by utilizing a filter comprehensive theory; then performing similarity transformation and scaling transformation on the transverse matrix to eliminate unnecessary coupling terms in the transverse matrix so as to obtain a filter topological structure and a frequency-dependent coupling matrix M'which are easier to implement; a quarter-wavelength short-circuit stepped impedance resonator is selected as a resonance unit of the micro-strip filter simulation model; finally, relevant coupling parameters of the micro-strip filter simulation model are made to approach the theoretical coupling coefficient by adjusting relevant physical structure parameters of the resonator, and then design is completed. By introducing a frequency-dependent coupling mechanism into the structure, the position of a transmission zero point is flexible and controllable, and the spectrum selectivity and the out-of-band rejection capability of the filter can be effectively improved.

The invention relates to the technical field of solid oxide fuel cells, and discloses a construction method of a solid oxide fuel cell multi-physical field bidirectional strong coupling simulation model and a computer program product. The method comprises the following steps: respectively constructing an electrochemical model, a positive / negative electrode fluid flow model and a heat transfer model of the solid oxide fuel cell based on an established geometric structure model; solving equations of the physical fields in all the models are combined to form a full coupling matrix, and iterative solving is carried out according to a set initial value; and judging whether the constructed model is converged or not according to an iterative solution result. According to the model constructed by the method, the mutual influence among electrochemistry, flow and heat transfer processes is fully considered, and synchronous solving is performed through a unified matrix system, so that real-time interaction and collaborative updating among multiple physical fields are realized, and the convergence efficiency and numerical stability of a nonlinear coupling problem are remarkably improved; through inspection, the deviation between a simulation result and actually measured data is less than 8%, and the method has high engineering practical value.

The invention relates to the technical field of resonators, in particular to a resonator parameter analysis method and system based on artificial intelligence, and the method comprises the steps: generating an ideal coupling matrix of a target resonator according to the center frequency, the passband bandwidth and the in-passband return loss; acquiring a corresponding relationship among an external quality factor, a coupling coefficient between resonant cavities, a coupling window width and a resonant cavity length through electromagnetic simulation or theoretical calculation, constructing a training data set, and training a regression model to predict the coupling window width; obtaining an external quality factor and a coupling coefficient of a target frequency band by utilizing baseband-passband transformation, solving the width of each coupling window through a prediction model, calculating the length of a resonant cavity by combining interpolation and scale transformation to form an initial size, establishing a three-dimensional simulation model to extract a coupling matrix, and iteratively correcting the length of the resonant cavity according to diagonal elements, so as to obtain an initial size; and obtaining a final physical size meeting the index. According to the method, the problems that an existing resonator design and parameter analysis process depends on experience, the number of simulation iterations is large, and the parameter reverse solving efficiency is low can be solved.

The present application relates to the technical field of intelligent manufacturing and production scheduling, and particularly relates to a garment multi-process digital twin monitoring method, which comprises the following steps: establishing a process digital twin by using a colored time-delay Petri network and an event dictionary; hierarchically updating a processing time distribution and a line change cost matrix online; obtaining a coupling matrix and calculating a dual price vector by using a regularized optimal transport, and quantifying a work-in-process capacity upper limit as a work-in-process quota; calling a Koopman operator driven counterfactual generator to evaluate an incremental cost and generate a release sequence by optimal sorting within a rolling prediction window; locking and issuing a process path according to the quota, implementing a reversible fine-tuning based on a deviation, and triggering a withdrawal and path diversion according to a topological structure abstract. The present application reduces work-in-process peak value and line change loss, and improves production capacity utilization and stability of on-time delivery.

The application relates to an inter-axis coupling suppression method and device, wherein the inter-axis coupling suppression method comprises the following steps: after a preset high-frequency modulation field is applied to a first measurement axis and a second measurement axis of an atomic magnetometer, a first excitation strategy and a second excitation strategy of the atomic magnetometer are independently executed respectively, and execution results of the excitation strategies are analyzed to obtain a first frequency response and a second frequency response; a coupling matrix is determined based on the first frequency response and the second frequency response; a decoupling filter matrix corresponding to the coupling matrix is determined and is converted into time-domain filter coefficients; when the atomic magnetometer performs actual double-axis measurement, a first actual measurement signal corresponding to the first measurement axis and a second actual measurement signal corresponding to the second measurement axis are acquired in real time, and the first actual measurement signal and the second actual measurement signal are decoupled based on the time-domain filter coefficients to obtain a first decoupled signal and a second decoupled signal. Through the application, the problem that the measurement accuracy of the magnetometer is low is solved.

The invention relates to the technical field of intelligent manufacturing and production scheduling, in particular to a clothing multi-process digital twinning monitoring method, which comprises the following steps of: establishing process digital twinning by using a colored time delay Petri network and an event dictionary; the processing time distribution and the line changing cost matrix are updated through layered online assimilation; a coupling matrix is obtained through regularization optimal transmission, a dual price vector is calculated, and the upper limit of the capacity of the work-in-process is quantified into the quota of the work-in-process; an anti-fact generator driven by a Koopman operator is called in the rolling prediction window to evaluate increment cost and preferentially sort to generate a release sequence; and locking and issuing the process path according to the quota, implementing reversible fine adjustment based on the deviation, and triggering withdrawal and path change according to the topological structure abstract. The product peak value and the line change loss are reduced, and the stability of capacity utilization and on-time delivery is improved.

The invention discloses a mutual inductance-considered SiC MOSFET random number chip parallel connection dynamic current sharing determination method, which comprises the following steps that: finite element simulation is carried out on a multi-chip parallel connection power device to obtain a (3n + 1) order matrix, an interconnection structure in the multi-chip parallel connection power device comprises a drain electrode interconnection structure, a source electrode interconnection structure and a grid electrode interconnection structure, and the drain electrode interconnection structure, the source electrode interconnection structure and the grid electrode interconnection structure are connected in parallel; elements in the (3n + 1) order matrix are used for representing self-inductance parameters and mutual inductance parameters of the multi-chip parallel power device; constructing a coupling matrix Mcoupled according to the (3n + 1) order matrix; whether the multi-chip parallel power device can achieve multi-chip parallel dynamic current sharing or not is determined according to the coupling matrix Mcoupled, the method can determine whether any number of SiC MOSFETs can achieve parallel dynamic current sharing or not, and operation is simple.

This invention discloses a multi-regional power system defense method based on a virtual network, specifically comprising: constructing a physical network of the power system; dividing the entire physical network of the power system into multiple mutually coupled regions; calculating the comprehensive key index of the i-th region; determining key regions based on the comprehensive key index; constructing a virtual network based on the existing physical topology of the power system, and allocating resources to key regions during the construction of the virtual network; then introducing a coupling matrix between the physical network and the virtual network to connect the virtual network and the physical network; optimizing the constructed virtual network; and using the optimized virtual network to absorb and disperse attack signals. This invention improves the collaborative defense capability and operational resilience of the smart grid when subjected to false data injection attacks, while also taking into account cost control and system feasibility.

The invention relates to a kinematics compensation method and system of an explosion-proof robot based on parameter coupling identification. The kinematics compensation method comprises the steps that an initial kinematics parameter set is acquired; carrying out coupling relation analysis on the parameters to generate a parameter coupling matrix; calculating a compensation coefficient vector based on the matrix; then the initial kinematics parameter set is corrected, the corrected set is input into a motion controller, the explosion-proof robot executes a target motion task, the scheme avoids the problems generated due to the fact that parameters are independently considered or an inaccurate compensation mode is adopted, robot motion can be accurately compensated, and the target motion task can be accurately compensated. And the execution effect of the explosion-proof robot in a high-precision task is improved.

The invention provides an antenna radiation characteristic obtaining method based on skeletonization and a MoM-PO algorithm. The method comprises the steps that an electrically-large-size platform and an antenna on the electrically-large-size platform are subdivided; defining an RWG primary function of the triangular patch pair; constructing matrix equations of the MoM region and the PO region based on the RWG primary functions of the MoM region and the PO region; the near-field matrix and the far-field matrix are filled based on an MoM-PO method and a skeletonization algorithm; and obtaining radiation characteristics of the antenna. According to the method, a skeletonization algorithm is adopted, far-field matrixes of coupling matrixes of the MoM and PO regions are filled through each group of impedance sub-matrixes of the coupling matrixes calculated through each group of interpolation matrixes of the MoM and PO regions and the coupling matrixes between the corresponding skeleton basis functions, the number of the skeleton basis functions is smaller than that of basis functions of the MoM and PO regions, and calculation is faster; the antenna radiation characteristic obtaining efficiency is effectively improved, and the computer memory requirement is reduced.

The invention provides a method and device for predicting the remaining service life of an excimer laser and electronic equipment, and relates to the technical field of semiconductor manufacturing. The method comprises the following steps: acquiring target composite characteristics, wherein the target composite characteristics comprise a pulse energy composite characteristic, a discharge parameter composite characteristic and a gas parameter composite characteristic; generating a physical coupling matrix according to a mutual coupling effect among the target composite features, performing weighted fusion on the target composite features through the physical coupling matrix, and setting Hamiltonian energy constraint terms to obtain target fusion features; calculating a global degradation factor based on the target fusion feature; and predicting the remaining service life of the excimer laser according to the target fusion feature and the global degradation factor to obtain a prediction result. According to the method, high-precision and real-time prediction of the residual service life of the excimer laser can be realized through multi-source feature data fusion and dynamic physical constraint.

A method for determining a pulse sequence for a quantum processor (2) is specified for solving a Quadratic Unconstrained Binary Optimization, QUBO, problem, comprising: - providing an initial coupling matrix characteristic of a coupling of at least some qubits of the quantum processor (2) and an initial cost matrix characteristic of the QUBO problem, - determining a rearranged cost matrix by rearranging at least some elements of the initial cost matrix dependent on a distance to the initial coupling matrix, - determining an adjusted coupling matrix by adjusting at least some elements of the initial coupling matrix dependent on a further distance of the initial coupling matrix to the rearranged cost matrix, - determining several sub-coupling matrices dependent on the adjusted coupling matrix, and - determining the pulse sequence dependent on the sub-coupling matrices. Further, a device (6), a computer program and a computer-readable storage medium are specified.

The invention belongs to the technical field of electromagnetic fields and microwaves, and particularly relates to a design method of an asymmetric three-passband filter based on a frequency-variable coupling structure. According to the method, a frequency-dependent coupling structure is applied to the design of the asymmetric three-passband filter based on the REMEZ-like algorithm, and after a frequency-dependent coupling matrix corresponding to a topological structure is converted into a non-frequency-dependent coupling matrix, all unknown parameters of the frequency-dependent coupling matrix are optimized and solved through a constrained nonlinear minimization function; therefore, an original cross coupling path is eliminated; and the generated N-1 transmission zeros can be generated and independently controlled by the frequency-variable coupling structure, so that the topological structure of the filter is simplified, and the debugging complexity is reduced. The three-passband filter with different orders, return losses and bandwidths can be synthesized in different passbands and specified transmission zero points, an in-line topological structure is achieved, the difficulty of filter design and simulation is lowered, and the degree of out-of-band rejection and isolation between the passbands is greatly improved.

The invention provides a multi-link channel modeling method and device based on a shared cluster. The method provided by the invention comprises the following steps: determining a multi-link scene comprising at least two communication links; collecting channel data related to the shared clusters, and extracting and determining physical characteristics of the shared clusters from the channel data; constructing a cross-correlation function based on the physical characteristics of the shared clusters; the cross-correlation function is used for describing correlation characteristics generated by shared clusters among different links, and the cross-correlation function comprises a joint power and cluster summation item, a joint angle-delay power distribution item, a phase deviation item and a frequency-delay coupling item; processing the cross-correlation function to obtain a cross term, and fusing the cross term into a multi-cluster superposition model; on the basis of a multi-cluster superposition model, carrying out association superposition on the channel characteristics of the links, and constructing a multi-link channel model; a diagonal block of the multi-link channel model is a single-link channel matrix generated by each link based on an autocorrelation term, and a non-diagonal block is an inter-link coupling matrix generated based on a cross term.

The invention relates to the technical field of semiconductors, discloses a beam forming chip array coupling suppression method and system, and aims to solve the technical problems that electromagnetic coupling between array units under high-density integration causes radiation performance degradation, and a traditional decoupling method depends on additional hardware and lacks dynamic adaptive capacity. The method comprises the following steps: acquiring near-field response data of each antenna unit through a near-field sensing unit, and constructing and dynamically updating an array coupling matrix model; and calculating a decoupling predistortion matrix based on the model in combination with target beam pointing, generating an excitation correction value sequence, and injecting the excitation correction value sequence into a transmitting channel to realize signal precorrection. Through the above scheme, real-time sensing and adaptive suppression of the internal coupling effect of the chip array are realized, dependence on external test equipment is not needed, the beam pointing precision and the system stability are improved, the method is compatible with a mainstream process platform, and the method has good engineering portability and industrialization prospects.

This invention discloses a power system network security situation analysis method based on a coupling matrix, belonging to the field of power system network security technology. The method includes establishing a power grid physical layer model and a power grid information layer model; performing coupling modeling of the information layer and physical layer through an association matrix; and conducting power grid security analysis and formulating recovery strategies based on different attack types. The method provides detailed system state information for network security situation analysis, improves the understanding of the dynamic behavior of the power system, enhances the comprehensiveness of power system network security analysis, provides a scientific basis for identifying and preventing potential security risks, strengthens the system's response capability to network attacks, improves the predictability and prevention capability of network attacks, enhances the connectivity of the information layer matrix and the physical layer's resistance to interference from information layer signals, reduces the system's measurement vulnerability, and improves the flexibility and adaptability of power system network security protection.

The invention discloses a miniaturized broadband band-pass filter based on a transformer resonator, a design method and a filter, relates to the technical field of filters, and solves the technical problem of low efficiency caused by complex design of an on-chip filter. The design method comprises the following steps: determining a target performance index of a filter based on an application demand, and converting a prototype of the filter into a coupling matrix; performing one-to-one mapping on each element in the coupling matrix and the physical structure parameters of the filter to obtain a transformer structure layout; importing the transformer structure layout into electromagnetic simulation software for electromagnetic simulation, and outputting a multi-port S parameter model; operating circuit simulation to obtain the overall frequency response of the filter circuit, and verifying the accuracy of the preliminary design; and obtaining a final physical layout of the filter until all the performance indexes meet the requirements. The mapping relation from the coupling matrix theory to the physical layout parameters is established, a large number of simulation iterations in traditional design are avoided, and the design efficiency and the success rate are improved.

The invention relates to the technical field of testing interface boards, and discloses an optimized wiring method for testing the signal integrity of an interface board. Comprising the following steps of test interface board TIB layout pre-analysis and forced coupling channel determination, forced coupling channel region multi-layer parameterization modeling, forced coupling channel bearing bus data coding mode and weight acquisition, dynamic field calculation and parameterization crosstalk model construction, field phase collaborative optimization and test interface board physical wiring implementation. According to the method, physical geometry and time delay control parameters are generated through S2 multi-layer parameterized modeling, S4, a dynamic field solver is driven to calculate a coupling matrix in real time and construct a parameterized crosstalk model in combination with a data coding mode and weight extracted in S3, then S5, the model is called to start a global optimization algorithm, the physical geometry and time delay parameters are synchronously adjusted, and therefore the crosstalk performance is improved. The algorithm linkage of parameter modeling, field resolving, model building and collaborative optimization is realized, and the traditional crosstalk control limitation only depending on geometric spacing is broken through.

The invention discloses a high-speed test method for quality detection of a semiconductor chip, which relates to the technical field of semiconductor chip testing and comprises the following steps: extracting parasitic electrical parameters in a storage array of the semiconductor chip and establishing an electrical coupling matrix; generating a micro-test sequence library according to the electric coupling matrix, and selecting an optimal micro-test sequence set through comprehensive detection contribution calculation and peak power consumption constraint; in the test execution stage, the optimal micro-test sequence set is called for testing according to the batch risk coefficient, and the test time and the coverage rate are controlled in combination with an early stop judgment and spot check fallback mechanism. According to the invention, accurate identification of a high-coupling area, directional excitation of coupling defects, coverage rate maximization within power consumption limitation and remarkable improvement of test efficiency are realized.

The invention provides a passive chip layout optimization method and device. The passive chip layout optimization method provided by the invention comprises the steps of determining a rough center frequency, a rough relative bandwidth, a self-coupling coefficient and a coupling coefficient between adjacent components corresponding to a current layout according to an S parameter model and topology of each component in the current layout; for any group of component pairs in the current layout, utilizing the prediction model to predict a coupling coefficient between non-adjacent components according to the size and the relative position; obtaining a rough coupling matrix of the current layout according to the three coefficients of the current layout; correcting the rough coupling matrix, the rough center frequency and the rough relative bandwidth by using the current correction model to obtain a precise coupling matrix; taking the precise coupling matrix as a predicted value of the proxy model, selecting a next evaluation point based on the predicted value and uncertainty thereof, and generating a next-generation layout; and updating the current correction model by taking the rough coupling matrix, the rough center frequency, the rough relative bandwidth and the simulation electromagnetic response as samples.

The invention discloses a double-antenna phase synthesis method and a double-antenna conformal synthesis navigation antenna, relates to the technical field of navigation antennas, and solves the technical problem of insufficient phase compensation caused by significant directional attenuation of signal coverage in a dynamic environment of an existing miniaturized antenna. The method comprises the following steps: S1, obtaining the impedance Zi of an antenna i and the impedance Zj of an antenna j in real time through a directional coupler; s2, a mutual coupling matrix is constructed based on the impedance of the antenna i and the impedance of the antenna j, the current rotation angular velocity omega is introduced, and the optimal synthesis phase weight is calculated; and S3, adjusting the phase of the radio frequency channel according to the optimal synthetic phase weight obtained in the step S2 to realize dynamic compensation in a preset angle range, and the method has the advantages of stable phase, complete signal coverage and the like.

The present disclosure is a device that detects each loss occurrence point of an optical fiber under test by using at least one of a loss distribution of first backscattered light from a first core or a loss distribution of second backscattered light from a second core, calculates a mode coupling matrix Ti at an i-th loss occurrence point of the optical fiber under test, calculates a fiber length Li of an i-th fiber section having a separation at the i-th loss occurrence point of the optical fiber under test, and calculates bidirectional crosstalk in the first core or the second core by using the calculated mode coupling matrix Ti and fiber length Li and using a fiber loss factor α and power coupling coefficient h of the optical fiber under test measured in advance.

This invention provides a data-driven quality control method for the entire manufacturing process of ultra-high voltage (UHV) equipment, comprising the following steps: using a hybrid algorithm combining attention mechanism and mutual information entropy to screen coupling factors, constructing a multi-stage bidirectional coupling matrix to quantify coupling strength, and introducing the Lyapunov exponent to determine the critical state of deviation amplification; constructing a multi-objective optimization model based on the coupling matrix and Lyapunov exponent, deriving the correction amount of key process parameters for each process, and conducting dynamic intervention throughout the entire process by combining adjustments to the testing process and adaptation of terminal testing accuracy; establishing a manufacturing and maintenance coupling mapping library, mining implicit mapping paths through graph neural networks, adapting to different equipment types using transfer learning, and updating model parameters through bi-cycle iterative updates. This invention can capture the nonlinear amplification risk of small deviations, avoids relying on manual experience to adjust process parameters, and clarifies the correspondence between manufacturing parameter deviations and maintenance failures, thereby achieving traceability of quality defects.

The present application proposes a topology design method and its application in the consistency of multi-agent system. The topology design includes the following steps: first, considering the undirected graph composed of three nodes, the topology is divided into two types: connected but not fully connected and fully connected; then, for the case of connected but not fully connected, the relationship between nodes is divided into three cases: node 1 and node 2 are not adjacent, node 1 and node 3 are not adjacent, and node 2 and node 3 are not adjacent; then, for each case, the corresponding coupling matrix is designed, and the second largest eigenvalue of the coupling matrix is guaranteed to be less than a given negative constant and the sum of the off-diagonal elements is minimized; finally, the topology design scheme is applied to the consistency of multi-agent system, and its effectiveness is verified by numerical simulation. The present application deeply studies the design method of coupling matrix, not only promotes the development of matrix theory, but also provides a new method for the cooperative control of multi-agent system.

Disclosed is a transmitting device for contactless transfer of electric energy by means of inductive coupling or by means of capacitive coupling to one or several receiving modules, each comprising a field receiving element for receiving electric energy, the transmitting device including: a plurality of transmitting modules, each including a field generating element for generating an alternating energy field and an electric energy source for providing an electric alternating quantity to the respective field generating element in a wired manner; and controller configured, in an energy transfer mode, to control the electric energy sources such that a plurality of the transmitting modules simultaneously generate one of the electric alternating fields each, wherein, in the energy transfer mode, the electric alternating fields are controlled in dependence on a singular value decomposition of a matrix depending on a coupling matrix, wherein the coupling matrix comprises coupling factors to several or to all of the field receiving elements for several or for all of the field generating elements.

A method for determining a pulse sequence for a quantum processor (2) is specified for solving a quadratic unconstrained binary optimization problem (QUBO) comprising: - Providing an initial coupling matrix that is characteristic of a coupling of at least some qubits of the quantum processor (2) and an initial cost matrix that is characteristic of the QUBO problem, - Determining a rearranged cost matrix by rearranging at least some elements of the initial cost matrix depending on a distance to the initial coupling matrix, - determining an adjusted coupling matrix by adjusting at least some elements of the initial coupling matrix depending on a further distance of the initial coupling matrix to the rearranged cost matrix, - Determining several partial coupling matrices depending on the adapted coupling matrix, and - Determination of the pulse sequence depending on the partial coupling matrices. Furthermore, a device (6), a computer program and a computer-readable storage medium are specified.