Electric power system quantum electromagnetic transient simulation method with high quantum state utilization rate

Abstract

The invention discloses an electric power system quantum electromagnetic transient simulation method with a high quantum state utilization rate. The electric power system quantum electromagnetic transient simulation method comprises the following steps: S1, solving an electric quantity of an electric power system through quantum calculation; s2, transmission of action information of a control switch in a single simulation step length and quantum state transmission of a step length are realized through quantum stealth transmission; s3, through a multi-path parallel step length simulation quantum state providing method, parallel calculation is carried out to sequentially provide simulation quantum states with the difference of one step length; s4, constructing a quantum analysis circuit to extract electrical quantity characteristic information of the key node according to a stride length simulation quantum state in the time window; and S5, realizing long-time-consumption quantum computing task error suppression based on quantum teleportation by adopting a segmented quantum computing relay architecture. According to the method, the problem of low quantum electromagnetic transient simulation calculation efficiency caused by low quantum state utilization rate is solved aiming at the phenomenon of reading out a multi-step quantum state after quantum-classical information interaction and simulation in calculation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electromagnetic transient simulation of power system, and particularly relates to a quantum electromagnetic transient simulation method of power system with high quantum state utilization rate. BACKGROUND

[0002] The fault dynamic process of AC / DC hybrid power system is affected by the switching process of power electronic devices and the fast control and protection logic, and the time scale is small, so it is difficult to accurately depict by traditional electromechanical transient simulation, and electromagnetic transient simulation needs to be used to simulate the transient process of the system. In contrast, electromagnetic transient simulation can more accurately simulate the transient process of different frequencies in the power system through time domain instantaneous value analysis and calculation. However, the calculation step of traditional electromagnetic transient simulation is small, and the number of calculations is more, and the calculation speed is slow, and if the microsecond step is used for the entire large-scale power grid with ten thousand nodes, the conventional computing platform is difficult to support, and it is difficult to meet the demand of large-scale new-type power system electromagnetic transient simulation, especially the demand of online safety analysis.

[0003] Quantum computing is a new computing mode that regulates quantum information units for calculation according to the laws of quantum mechanics, and can achieve exponential acceleration of calculation on specific tasks by virtue of quantum superposition and parallelism, and quickly solve the calculation tasks that are difficult to solve by classical computers due to high computational complexity and large amount of calculation, while the required computing resources and the scale of calculation only increase logarithmically. The existing technology has proposed a quantum electromagnetic transient simulation method based on HHL algorithm and variational quantum algorithm, but this method only quantumizes part of the electromagnetic transient simulation calculation task, and the quantum state calculation result of each simulation step needs to be reconstructed in the classical, which leads to the increase of the overall calculation complexity related to the dimension of the system, and further inhibits the acceleration ability of quantum computing, causing the overall calculation efficiency to decrease when processing large-scale time domain simulation analysis method. However, simulation analysis calculation only focuses on the time-frequency characteristics of part of the key nodes in a certain scale time window, not all nodes in the power system. Therefore, it is unnecessary for the electromagnetic transient simulation analysis based on quantum computing to obtain the electrical quantity information of all nodes at all simulation steps from the quantum system. In summary, the existing electromagnetic transient simulation method based on quantum computing needs to read out the quantum state with the same or higher dimension as the system at each step simulation after calculation, which not only leads to low quantum state utilization rate, but also inhibits the acceleration calculation ability of quantum computing and even makes it disappear.

[0004] New energy is connected to the power grid through power electronic converters, making the power system exhibit power electronic characteristics. The high proportion of new energy grid-connected makes the uncertainty increase, the number of scenarios calculated in the system transient stability analysis increases, and the calculation burden increases. At the same time, the strong volatility of new energy makes the calculation interval in the online security analysis calculation process shorten, and the contradiction between high calculation burden and high frequency calculation interval needs to be solved. Introducing quantum computing into the electromagnetic transient simulation framework is an effective solution to the above problems. However, the existing quantum electromagnetic transient has not realized the quantumization of the whole simulation analysis process, and there is a split between classical computing and quantum computing in the overall computing architecture, which cannot fully develop the computing acceleration capability of quantum computing. SUMMARY

[0005] In order to solve the problem of low quantum state utilization rate of the existing quantum computing-based electromagnetic transient simulation method, which leads to low efficiency of quantum electromagnetic transient simulation, the present application proposes a power system quantum electromagnetic transient simulation method with high quantum state utilization rate, which solves the above problems.

[0006] The present application discloses a power system quantum electromagnetic transient simulation method with high quantum state utilization rate, comprising the following steps: S1, based on the Dommel-EMTP framework, encode the electromagnetic transient calculation task within a single simulation step to a quantum computer for solution, and solve the electrical quantities of the power system by simulating quantum computing or digital quantum computing or digital-analog hybrid quantum computing; S2, realize the transmission of control switch action information within a single simulation step and cross-step quantum state transmission through quantum teleportation; S3, provide simulation quantum states that differ by one step in parallel through a multi-path parallel cross-step simulation quantum state providing method; S4, for the cross-step simulation quantum state within the time window, construct a quantum analysis circuit to extract the electrical quantity feature information of the key nodes; S5, realize long-time quantum computing task error suppression based on quantum teleportation by using a segmented quantum computing relay architecture.

[0007] Preferably, the analog quantum computing solves the quantum system evolution equation described by the Schrodinger equation through the construction of Hamiltonian evolution, and the Schrodinger equation is described as:

[0008] Wherein, is the time, is the final state of the quantum system, is the initial state of the quantum system, is the imaginary unit, is the Planck constant, is the Hamiltonian of the quantum system.

[0009] Preferably, the digital quantum computation constructs a quantum gate circuit by quantum gates, and realizes linear system solving by the quantum gate circuit. The quantum gate includes a basic single-qubit gate and a multi-qubit gate.

[0010] wherein, denotes an angle of rotation of a quantum state represented by a Bloch sphere around a corresponding axis, denotes a CNOT gate, denotes a SWAP gate, denotes a T gate, denotes a Hadamard gate, , , denotes a rotation gate, and the subscript represents a coordinate axis around which the rotation is performed, denotes a CNOT gate, denotes a SWAP gate.

[0011] Preferably, the S2 includes the following steps: preparing a shared Bell state entanglement pair between the quantum system A and the quantum system B; performing a Bell state measurement on the quantum state stored on the quantum system A and one particle of the entanglement pair; performing a unitary transformation on the other particle of the entanglement pair according to the measurement result, reconstructing the quantum state of the quantum system A, and realizing the transfer of the quantum state from the quantum system A to the quantum system B.

[0012] Preferably, the S3 includes the following steps: dividing a time window containing a fixed number of steps into a plurality of parallel step-by-step quantum coherent time domain simulation calculations; each parallel calculation provides a simulation quantum state that is one step different from the previous one, and each step in the time window is step-by-step simulated with high quantum state utilization; introducing an auxiliary quantum system to entangle with the target quantum system, and analyzing the global information of the multi-time-step quantum state by measuring the auxiliary quantum system.

[0013] Preferably, the S4 includes the following steps: constructing a quantum analysis circuit for electrical quantity effective value calculation and time-frequency conversion; introducing an auxiliary qubit, and loading the characteristic information of the cross-step quantum state to the phase of the auxiliary qubit through a controlled rotation gate; Projection measurements are performed on the auxiliary qubits to extract feature information, and the step-size simulated quantum state is reconstructed based on the measurement results.

[0014] Preferably, the quantum analysis circuit is a Hardmard Test algorithm circuit, and the Hardmard Test algorithm circuit operates in accordance with the following conditions:

[0015] in, For the first Hardmard Test operation within a time window For the first A time window is used to assist the 0 state of the qubit. For the first A time window is used to assist the 1 state of the qubit. For the first Simulation parameters of the time window step size The exponential form of a complex number, representing The global phase factor, Argument and .

[0016] Preferably, the restored step-size simulated quantum state is as follows:

[0017] in, It is the identity matrix. For the first Each time window is used to assist the qubit in its 0 state after the quantum gate operation is completed. For the first Each time window represents the state of the auxiliary qubit after the quantum gate operation is completed. The quantum state of the auxiliary qubit in each time window is denoted as follows: ,all The data is read out uniformly after the entire simulation calculation process is completed.

[0018] Preferably, step S5 includes the following steps: Long-duration computational tasks are divided into multiple short-duration computational tasks, which are then completed sequentially with the cooperation of multiple quantum computing units; The available computation time for a single piece of hardware is calculated within an error threshold based on the decoherence time of the quantum hardware. The quantum states of the analysis results for each time window are transferred to other computing units via quantum teleportation. The quantum computing unit that completes the computational task is initialized for cyclical use.

[0019] Preferably, in the entire process of S1-S4, the quantum states carrying electrical quantity information of each node are not projected and measured.

[0020] Advantages of the present application: 1. The present application constructs a quantum-classical information interface and a quantum-quantum interaction interface between steps to control the switching action information of a single step, realizes information transmission between each simulation calculation task and each simulation step through quantum information technology, and improves the utilization rate of quantum states.

[0021] 2. The present application, from the purpose of electromagnetic transient simulation, in the face of the inevitable information readout requirement from the quantum system, extracts high-dimensional information from the simulation results stored in the quantum system by constructing the quantum circuit required for simulation analysis, realizes a substantial reduction in the dimension of the quantum system for measurement and readout, and effectively eliminates the impact of reading information from the quantum system on the overall calculation efficiency.

[0022] 3. The present application can eliminate the high quantum readout cost in quantum simulation calculation caused by the inevitable quantum information readout requirement, and provides a new idea for effectively solving the low efficiency problem of large-scale power system electromagnetic transient simulation analysis calculation under the quantum calculation framework. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 The flow chart of the power system quantum electromagnetic transient simulation method with high quantum state utilization rate of the embodiment of the present application; Figure 2 The quantum teleportation schematic diagram of the embodiment of the present application; Figure 3 The Hardmard Test algorithm circuit of the embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application is further described in detail below with reference to the drawings and examples.

[0025] The present application embodiment discloses a power system quantum electromagnetic transient simulation method with high quantum state utilization rate, and its flow is as shown in Figure 1 The method can realize efficient utilization of quantum states and substantial reduction of quantum readout cost. The method realizes efficient utilization of quantum states and substantial reduction of quantum readout cost in the whole process of simulation calculation, feature information measurement and readout, without projecting and measuring the quantum states carrying the electrical quantity information of each node, thereby improving the overall efficiency in processing large-scale power system electromagnetic transient simulation analysis problems. The method is generally divided into two main links of simulation link and analysis link. S1, the simulation link adopts Dommel-EMTP framework, the power system element is linearized into equivalent resistance and historical current source in each time step through numerical integral method, the system is solved by using node analysis method after obtaining the norton equivalent circuit. It can be seen that Dommel-EMTP converts the complex time domain differential equation solving problem into a series of linear resistance network solving problems at discrete time points. The core steps are as follows: 1. The differential equation of the power system element is converted into a difference equation by using the trapezoidal integral formula, and the norton equivalent circuit is constructed, that is, it is converted into an equivalent resistive branch in parallel with an electric conductance and a historical current source; 2. The node admittance matrix and the node voltage equation of the network are constructed; 3. The node voltage equation is solved in a loop, and the specific process is as follows: 1) Before the loop starts, the node conductance matrix is formed ; 2) Initialize the historical current vector ; 3) In each loop, first calculate the norton equivalent current of each element branch , form the node injected current vector ; 4) Solve the node voltage equation , obtain the node voltage vector ; 5) According to the difference equation of each branch, the branch voltage and current at this time are obtained for the next loop; 6) When the simulation time reaches the end time, if yes, the simulation is ended, otherwise return to 2).

[0026] On the basis of the above framework, the calculation task in a single simulation step is quantized, and the calculation task is coded to a quantum computer for solving by means of analog quantum calculation or digital quantum calculation or digital-analog hybrid quantum calculation. After solving the calculation problem in a single simulation step, the control system power electronic switch action state is read out, and the solving result is transmitted to the next quantum calculation unit by quantum teleportation.

[0027] Analog quantum calculation converts the problem into a quantum system evolution problem described by the Schrödinger equation, constructs the Hamiltonian of the quantum system according to the problem, and solves the differential equations by evolving the quantum system for a specified time. The Schrödinger equation is described as:

[0028] Where, is the time, is the final state of the quantum system, is the initial state of the quantum system, is the imaginary unit, is the Planck constant, is the Hamiltonian of the quantum system.

[0029] The electromagnetic transient calculation task is transformed into the evolution of the quantum system with the specified Hamiltonian at the specified time, and the final state of the quantum system is the quantum state storing the calculation result.

[0030] Digital quantum computing is based on encapsulating a specific evolution process into a quantum gate, and constructing a quantum gate circuit required to solve a problem to realize quantum computing. The following basic single-qubit gates and multi-qubit gates are mainly used:

[0031] wherein, is the imaginary unit, represents the angle of rotation of the quantum state represented by the Bloch sphere around the corresponding axis x-axis, y-axis, z-axis), and the single-qubit gate includes , , the Hadamard gate ( ), and the rotation gate ( , , , the subscript represents the coordinate axis around which the rotation is performed), etc., and the double-qubit gate includes the controlled non-gate ( ) and the exchange gate ( ).

[0032] By using the above quantum gates and the derivative quantum gates obtained by combining or adjusting the parameters thereof, a quantum gate circuit is constructed, and a linear system solving algorithm is used to complete the solution of the linear algebraic equation , wherein is the coefficient matrix, is the solution vector, is the constant vector, and are known. Based on the Hamiltonian simulation algorithm, the evolution operator of the matrix is applied to the eigenvector bases and a phase related to the eigenvalue is applied, and then the quantum Fourier transform algorithm is used to convert each phase into the eigenvalue of the matrix on each eigenvector base, so as to complete the calculation of and store the calculation result in the quantum system.

[0033] S2, the transfer of control switch action information in a single simulation step and the transfer of quantum states across steps are realized by quantum teleportation. The quantum teleportation implementation process is as follows: Figure 2As shown, by preparing a shared Bell state entangled pair between two quantum systems A, B, and storing the quantum state and measuring the Bell state of one particle of the entangled pair (BSM), then quantum system B can reconstruct the original quantum state of quantum system A by performing a corresponding unitary transformation on the other particle of the entangled pair according to the measurement result, denoted as , thereby realizing the transfer of the quantum state from quantum computing unit A to quantum computing unit B.

[0034] S3, by using the multi-path parallel step-length simulation quantum state providing method, the efficient use of quantum states is realized.

[0035] According to the simulation analysis requirements, a time window containing a certain number of steps is divided, and a parallel step-by-step quantum coherent time domain simulation calculation is performed, and the number of steps required is determined by dividing the time period to be analyzed by the simulation step. Each parallel simulation calculation provides a simulation quantum state that differs by one step, and the high quantum state of each step in the time window (the quantum state carrying the simulation result will not collapse due to measurement in the step-by-step simulation calculation) is used in the step-by-step simulation calculation, and an additional auxiliary quantum system is introduced to entangle with the target quantum system, and the analysis of the global information of the multi-time step quantum state and the expected value reading are realized by measuring the auxiliary quantum system.

[0036] S4, for the cross-step-length simulation quantum state in the time window, a quantum analysis circuit is constructed to extract the electrical quantity characteristic information of the key node.

[0037] The analysis link is around the time domain signal and the frequency domain signal, and the electrical quantity effective value calculation and the time-frequency conversion quantum analysis circuit is constructed for the key node in the cross-step-length quantum state. Then an auxiliary quantum bit is introduced and entangled with the cross-step-length simulation quantum state through a quantum gate circuit, the characteristic information of the cross-step-length simulation quantum state is measured and stored in the auxiliary quantum bit.

[0038] In detail, an auxiliary quantum bit is introduced, and a controlled rotation gate is constructed to load the expected value of the specified component of the electrical quantity effective value and the frequency information of the key node in the cross-step-length simulation quantum state onto the excited state phase of the auxiliary quantum bit. According to the controlled rotation gate, the Test algorithm circuit between the auxiliary quantum bit and the cross-step-length simulation quantum state is established, and this embodiment takes the Hardmard Test algorithm quantum gate as an example. As shown in the figure Figure 3 , Hadamard gate is represented by H, , and the matrix representation of any required quantum bit gate, i.e. the unitary matrix, is represented by U, , and the projection measurement on the auxiliary quantum bit is represented by the box with an arrow, , and the controlled rotation gate is represented by C. The quantum state of the input of dimension, This is the initial state of the auxiliary qubit.

[0039] After performing the Hardmard Test operation over the s-th time window, the quantum state description of the system is as follows:

[0040] in, For the first Hardmard Test operation within a time window and The first A time window is used to assist the 0 and 1 states of the qubit. For the first Simulation parameters of the time window step size. The exponential form of a complex number, representing The global phase factor, Argument and .

[0041] The Hardmard Test algorithm successfully computed the known unitary matrix. Vector after action With input vector The inner product between the two is stored on an auxiliary qubit. At this point, only the projection measurement readout of the information on the auxiliary qubit is needed, without performing a projection measurement on the quantum computing unit used for electromagnetic transient simulation. After reading out the auxiliary qubit by projection measurement, the quantum gate operation required to restore the step-size simulation quantum state is constructed and executed based on the auxiliary qubit readout result. After executing the above quantum gate operation, the quantum state description of the system is:

[0042] in, It is the identity matrix. and The first Each time window represents the 0 and 1 states of the auxiliary qubit after performing the above quantum gate operations. The quantum state of the auxiliary qubit in each time window is labeled as follows: ,all The data is read out uniformly after the entire simulation calculation process is completed. The Hardmard Test algorithm provides an operational space for recovering the quantum state by analyzing the expected value of the projection of global information of the unknown quantum state in a given space.

[0043] Then, the required number of measurements is calculated based on the auxiliary bit dimension to be read and the readout fault tolerance threshold. Once the required number of measurements is met, the simulation calculation for the next time window begins.

[0044] S5. A segmented quantum computing relay architecture is adopted to achieve error suppression for long-duration quantum computing tasks based on quantum teleportation. The long-duration computation task is divided into multiple short-duration computation tasks, which are completed sequentially by multiple quantum computing units. The available computation time for each piece of hardware is calculated based on the quantum hardware decoherence time threshold. Simultaneously, quantum teleportation is used to transfer the quantum states of the analysis results for each time window to other computing units, avoiding excessively high error rates introduced by long-term storage. Furthermore, the quantum computing units that have completed the computation tasks are initialized for cyclical use.

[0045] In particular, this embodiment does not perform projection measurement on the quantum states carrying electrical quantity information of each node throughout the entire process of simulation calculation, feature information measurement and readout.

[0046] In summary, the embodiments of this application address the issues of low computational efficiency in quantum electromagnetic transient simulation caused by low quantum state utilization, specifically concerning quantum-classical information interaction during computation and the readout of multi-step quantum states after simulation. Regarding the reduced computational efficiency caused by quantum-classical information interaction, the embodiments of this application utilize quantum teleportation to transmit control switch action information within a single simulation step and to transfer quantum states across steps. This enables information transfer between various simulation tasks and simulation steps via quantum information technology, improving quantum state utilization. Regarding the issue of reducing the cost of unavoidable information readout from quantum systems, the embodiments of this application, starting from the purpose of electromagnetic transient simulation, construct the quantum circuit required for simulation analysis to extract high-dimensional information from the simulation results stored in the quantum system when facing the unavoidable need for information readout from the quantum system. This significantly reduces the dimension of the quantum system readout, effectively eliminating the impact of information readout from the quantum system on overall computational efficiency.

[0047] This application enables efficient utilization of quantum state resources in quantum electromagnetic transient simulation calculations and significantly reduces quantum readout costs through simulation analysis of quantum circuits, solving the problem of difficult readout of quantum computing results. It is expected to resolve the contradiction between high computational burden and high-frequency computing requirements in new power systems, promote interdisciplinary research on quantum computing in power systems, and provide a guarantee for the safe development of new power systems.

[0048] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A quantum electromagnetic transient simulation method for power systems with high quantum state utilization, characterized in that, Includes the following steps: S1. Based on the Dommel-EMTP framework, the electromagnetic transient calculation task within a single simulation step is encoded into a quantum computer for solution, and the electrical quantities of the power system are solved by analog quantum computing, digital quantum computing, or hybrid quantum computing. S2. Realize the transmission of control switch action information within a single simulation step and the transmission of quantum states across step lengths through quantum teleportation. S3. A method for providing simulated quantum states across multiple parallel steps is used, which provides simulated quantum states that differ by one step in parallel computation. S4. For the simulated quantum state with a step size within the time window, construct a quantum analysis circuit to extract the electrical quantity characteristic information of key nodes; S5. A segmented quantum computing relay architecture is adopted to achieve error suppression for long-duration quantum computing tasks based on quantum teleportation.

2. The quantum electromagnetic transient simulation method for power systems with high quantum state utilization according to claim 1, characterized in that, The simulated quantum computing solves the quantum system evolution equation described by the Schrödinger equation by constructing Hamiltonian evolution. The Schrödinger equation is described as follows: in, For time, For the final state of the quantum system, For the initial state of the quantum system, The imaginary unit, is Planck's constant. For the Hamiltonian of a quantum system.

3. The quantum electromagnetic transient simulation method for power systems with high quantum state utilization according to claim 2, characterized in that, The digital quantum computing constructs quantum gate circuits through quantum gates, and uses quantum gate circuits to solve linear systems. The quantum gates include basic single-qubit gates and multi-qubit gates: in, Let represent the angle by which the quantum state, represented by the Bloch sphere, rotates about the corresponding axis. express Door, express Door, express Door, It refers to the Hadamard Gate. , , This indicates a revolving door, with the subscript representing the coordinate axis around which it rotates. Indicates a controlled NOT gate. This indicates a swap gate.

4. The quantum electromagnetic transient simulation method for power systems with high quantum state utilization according to claim 3, characterized in that, S2 includes the following steps: Prepare a shared Bell state entanglement pair between quantum system A and quantum system B; Perform a Bell state measurement on one of the particles of the quantum state and entanglement stored in quantum system A; Quantum system B performs a unitary change on the other particle of the entangled pair based on the measurement results, reconstructing the quantum state of quantum system A, and realizing the transfer of the quantum state from quantum system A to quantum system B.

5. The quantum electromagnetic transient simulation method for power systems with high quantum state utilization according to claim 4, characterized in that, S3 includes the following steps: Divide the time window into segments with a fixed number of steps, and perform parallel step-by-step quantum coherent time-domain simulation calculations with the same number of steps. Each parallel computation provides simulated quantum states that differ by one step size, corresponding to high quantum state utilization step-by-step simulation computations within each step size of the time window; An auxiliary quantum system is introduced to generate entanglement with the target quantum system, and global information of multi-time-step quantum states is analyzed by measuring the auxiliary quantum system.

6. The quantum electromagnetic transient simulation method for power systems with high quantum state utilization according to claim 5, characterized in that, S4 includes the following steps: Construct a quantum analysis circuit for calculating the effective value of electrical quantities and performing time-frequency conversion; An auxiliary qubit is introduced, and the characteristic information of the step-size quantum state is loaded into the phase of the auxiliary qubit through a controlled rotation gate; Projection measurements are performed on the auxiliary qubits to extract feature information, and the step-size simulated quantum state is reconstructed based on the measurement results.

7. The quantum electromagnetic transient simulation method for power systems with high quantum state utilization according to claim 6, characterized in that, The quantum analysis circuit is a Hardmard Test algorithm circuit, and the Hardmard Test algorithm circuit operates as follows: in, For the first Hardmard Test operation within a time window For the first A time window is used to assist the 0 state of the qubit. For the first A time window is used to assist the 1 state of the qubit. For the first Simulation parameters of the time window step size The exponential form of a complex number, representing The global phase factor, Argument and .

8. The quantum electromagnetic transient simulation method for power systems with high quantum state utilization according to claim 7, characterized in that, The restored step-size simulated quantum state is as follows: in, It is the identity matrix. For the first Each time window is used to assist the qubit in its 0 state after the quantum gate operation is completed. For the first Each time window represents the state of the auxiliary qubit after the quantum gate operation is completed. The quantum state of the auxiliary qubit in each time window is denoted as follows: ,all The data is read out uniformly after the entire simulation calculation process is completed.

9. The quantum electromagnetic transient simulation method for power systems with high quantum state utilization according to claim 8, characterized in that, S5 includes the following steps: Long-duration computational tasks are divided into multiple short-duration computational tasks, which are then completed sequentially with the cooperation of multiple quantum computing units; The available computation time for a single piece of hardware is calculated within an error threshold based on the decoherence time of the quantum hardware. The quantum states of the analysis results for each time window are transferred to other computing units via quantum teleportation. The quantum computing unit that completes the computational task is initialized for cyclical use.

10. The quantum electromagnetic transient simulation method for power systems with high quantum state utilization according to claim 9, characterized in that, Throughout the entire process from S1 to S4, no projection measurement is performed on the quantum states that carry electrical quantity information of each node.

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