An information supervision system for quantum computing

Abstract

The invention discloses an information supervision system for quantum computing, which relates to the technical field of quantum computing. The system comprises a compensation parameter setting module, which is used for presetting compensation parameters before quantum gate operation to correct expected phase errors, a real-time monitoring module, which is used for real-time monitoring of actual time delays generated during quantum gate operation, a dynamic adjustment module, which is used for dynamically adjusting compensation parameters based on the monitored actual time delays, and a quantum gate operation module, which is used for executing subsequent quantum gate operations using the adjusted compensation parameters to reduce phase errors. The information supervision system for quantum computing solves the problem of phase errors caused by tiny time delays in quantum gate operations in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of quantum computing, and in particular to an information supervision system for quantum computing. Background Art

[0002] In the field of quantum computing, quantum gate operations are the basis for implementing quantum algorithms, which process quantum information by performing specific logical operations on quantum bits. However, in practical applications, quantum gate operations may cause phase errors due to device performance, environmental interference, or slight time delays in control signals. This phase error will cause the quantum state to shift, thus affecting the accuracy of quantum computing results.

[0003] At present, researchers have developed a variety of correction schemes to deal with the phase error problem. For example, quantum error correction codes are used to protect quantum states, or dynamic disentanglement technology is used to reduce environmental interference. However, these methods usually require high-precision equipment support, and for systems with a large number of quantum bits, the complexity of calculations and operations will increase significantly. In addition, since time delay is an inherent phenomenon in the physical process of operation, the errors caused by it are difficult to completely avoid and correct. Therefore, under existing technical conditions, how to effectively reduce or compensate for the phase error caused by time delay in quantum gate operations is still a key problem that needs to be solved in the optimization of quantum computing systems. Summary of the invention

[0004] The purpose of the present invention is to provide an information supervision system for quantum computing to solve the problem of phase error caused by a small time delay in quantum gate operation in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: an information supervision system for quantum computing, the system comprising:

[0006] The compensation parameter setting module is used to preset compensation parameters before quantum gate operation to correct the expected phase error, including setting the maximum compensation parameter value allowed in quantum gate operation, setting the initial value according to historical data, modeling the change of compensation parameters over time, and predicting the optimal compensation parameters before quantum gate operation. The specific formula is: ;

[0007] Wherein, P(t) represents the change of the compensation parameter value with time t, t represents time, K represents the maximum value of the compensation parameter, P0 represents the initial compensation parameter value, r represents the compensation adjustment rate, and e represents the base of the natural logarithm;

[0008] A real-time monitoring module is used to monitor the actual time delay generated during the quantum gate operation in real time;

[0009] A dynamic adjustment module connected to the compensation parameter setting module and the real-time monitoring module, for dynamically adjusting the compensation parameters based on the monitored actual time delay;

[0010] The quantum gate operation module connected to the compensation parameter setting module, the real-time monitoring module and the dynamic adjustment module is used to perform subsequent quantum gate operations using the adjusted compensation parameters to reduce the phase error, including modeling the phase error of the quantum state, calculating the number of compensation operations required to reduce the phase error in the quantum gate operation according to the compensation parameters output by the dynamic adjustment module, and optimizing the phase error in the quantum gate operation by controlling the error coverage range so that it complies with the phase error range allowed in quantum computing. The specific formula is: ;

[0011] Where D represents the complexity of the phase error in the quantum gate operation, N(ϵ) represents the number of compensation operations required to reduce the phase error in the quantum gate operation, Represents the range of phase errors allowed in quantum computing.

[0012] Preferably, the real-time monitoring module performs real-time monitoring on the actual time delay generated during the quantum gate operation process, including:

[0013] The time delay error and error compensation behavior are modeled, and the rate of change of the time delay error and the impact of compensation parameter adjustment on it are monitored in real time. The specific formula is:

[0014] , ;

[0015] Wherein, x represents the magnitude of the time delay error monitored in real time, t represents time, α represents the natural growth rate of the time delay error without compensation, β represents the correction efficiency of the compensation parameter y on the time delay error x, y represents the real-time compensation parameter adjustment value used to correct the time delay error, δ represents the influence of the severity of the time delay error x on the compensation parameter adjustment y, and γ represents the automatic reduction rate of the compensation parameter y without the influence of the external delay error;

[0016] The model parameters are dynamically adjusted according to the monitoring data, the real-time relationship between the time delay and the compensation parameters is output, and the monitoring data is sent to the dynamic adjustment module to provide a basis for the optimization of the compensation parameters.

[0017] Preferably, the dynamic adjustment module dynamically adjusts the compensation parameters based on the monitored actual time delay, including:

[0018] Calculate the difference between the energy input into the system by the compensation parameter and the energy consumed during the quantum gate operation. The specific formula is: ;

[0019] in, represents the energy input into the system by the compensation parameter, represents the energy consumption during the quantum gate operation, Indicates the surplus or shortage of system energy after compensation adjustment.

[0020] Preferably, the dynamic adjustment module dynamically adjusts the compensation parameters based on the monitored actual time delay:

[0021] when When >0, the energy input by the compensation parameter is greater than the energy consumed by the system operation, indicating that the system is in a stable state;

[0022] when When <0, the compensation parameter input is not sufficient to meet the needs of quantum gate operation, so the compensation amount should be increased or the compensation method should be optimized.

[0023] Preferably, the real-time monitoring module performs real-time monitoring on the actual time delay generated during the quantum gate operation and further comprises obtaining an actual measured value T of the actual time delay T. m , compared with the actual measured value T m With the preset time delay threshold T t , if T m >T t , then the event that the time delay exceeds the threshold is recorded.

[0024] Preferably, the dynamic adjustment module dynamically adjusts the compensation parameters based on the monitored actual time delay and further includes reading the number of recorded time delay exceeding threshold events M, and calculating the average time delay deviation dT=(T m -T t ) / M, set the predetermined event number threshold T h , if M>T h , then adjust the compensation parameter C p1 =C p +ΔC, where ΔC is the preset adjustment increment.

[0025] Preferably, the quantum gate operation module uses the adjusted compensation parameter to perform subsequent quantum gate operations to reduce the phase error, and further includes reading the adjusted compensation parameter C p1 , calculate the theoretical phase error G of the current quantum gate operation p , preset the maximum phase error threshold E max , if |G p |>E max , then readjust the compensation parameter C p1 = C p +k×|G p |, where k is the proportional coefficient, and the final adjusted compensation parameter C is applied p1Perform quantum gate operations.

[0026] Preferably, the compensation parameter setting module further includes a historical data analysis unit for dynamically adjusting the initial compensation parameter P0 according to the statistical results of the quantum gate operation historical data.

[0027] Preferably, the real-time monitoring module includes a delay analysis unit for dynamically recording delay data according to the time delay generated in the quantum gate operation, and generating a delay trend report, which is provided to the dynamic adjustment module as an adjustment basis.

[0028] Preferably, the real-time monitoring module and the dynamic adjustment module are connected via a high-speed data interface to transmit time delay data and compensation adjustment data in real time.

[0029] It can be seen from the above technical solution that the present invention has the following beneficial effects:

[0030] The information supervision system for quantum computing presets compensation parameters before quantum gate operation to correct expected phase errors through a compensation parameter setting module, monitors the actual time delay generated during the quantum gate operation in real time through a real-time monitoring module, dynamically adjusts the compensation parameters based on the monitored actual time delay, and uses the adjusted compensation parameters to perform subsequent quantum gate operations to reduce phase errors through a quantum gate operation module. This system can significantly reduce the quantum state offset problem caused by device performance, environmental interference or control signal delay, ensure the accuracy of quantum computing results, improve the stability of the quantum computing system, reduce the demand for high-precision hardware, provide higher feasibility and economy for the widespread deployment of quantum computing systems, avoid the problem of excessive complexity of quantum error correction or dynamic de-entanglement schemes in the prior art in large-scale quantum bit systems, improve the operating efficiency of the system, significantly reduce the cumulative effect of phase errors, ensure the normal operation of quantum algorithms, and solve the problem of phase errors caused by tiny time delays in quantum gate operations in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] like Figure 1As shown, the present invention provides a technical solution: an information supervision system for quantum computing, the system comprising:

[0034] The compensation parameter setting module is used to preset compensation parameters before quantum gate operation to correct the expected phase error, including setting the maximum compensation parameter value allowed in quantum gate operation, setting the initial value according to historical data, modeling the change of compensation parameters over time, and predicting the optimal compensation parameters before quantum gate operation. The specific formula is: ;

[0035] Wherein, P(t) represents the change of the compensation parameter value with time t, t represents time, K represents the maximum value of the compensation parameter, P0 represents the initial compensation parameter value, r represents the compensation adjustment rate, and e represents the base of the natural logarithm;

[0036] A real-time monitoring module is used to monitor the actual time delay generated during the quantum gate operation in real time;

[0037] A dynamic adjustment module connected to the compensation parameter setting module and the real-time monitoring module, for dynamically adjusting the compensation parameters based on the monitored actual time delay;

[0038] The quantum gate operation module connected to the compensation parameter setting module, the real-time monitoring module and the dynamic adjustment module is used to perform subsequent quantum gate operations using the adjusted compensation parameters to reduce the phase error, including modeling the phase error of the quantum state, calculating the number of compensation operations required to reduce the phase error in the quantum gate operation according to the compensation parameters output by the dynamic adjustment module, and optimizing the phase error in the quantum gate operation by controlling the error coverage range so that it complies with the phase error range allowed in quantum computing. The specific formula is: ;

[0039] Where D represents the complexity of the phase error in the quantum gate operation, N(ϵ) represents the number of compensation operations required to reduce the phase error in the quantum gate operation, Represents the range of phase errors allowed in quantum computing.

[0040] The above system predicts and sets the compensation parameter model in advance through the compensation parameter setting module, thereby reducing the phase error of the quantum gate operation. The real-time monitoring module is used to accurately measure the delay information generated during the quantum gate operation and transmit the data to the dynamic adjustment module. The dynamic adjustment module dynamically adjusts the compensation parameters according to the monitored real-time delay data to ensure that the final compensation parameters are adapted to the real-time needs of the quantum gate operation. After receiving the dynamically adjusted compensation parameters, the quantum gate operation module can correct the specific errors of the quantum state and optimize the number of compensation operations, so as to control the errors within the allowable range, and finally realize efficient and accurate quantum gate operation. The quantum computing information supervision system proposed in the present invention significantly reduces the phase error in the quantum gate operation through the synergy of the compensation parameter setting module, the real-time monitoring module and the dynamic adjustment module, and improves the accuracy and efficiency of quantum computing; by dynamically adjusting the compensation parameters, it can adapt to the changes in real-time delay and ensure the stability and reliability of quantum gate operation under different operating conditions; in addition, by optimizing the number of compensation operations, the occupation of computing resources is further reduced, and the overall performance of the system is improved.

[0041] The real-time monitoring module monitors the actual time delay generated during the quantum gate operation in real time, including:

[0042] The time delay error and error compensation behavior are modeled, and the rate of change of the time delay error and the impact of compensation parameter adjustment on it are monitored in real time. The specific formula is:

[0043] , ;

[0044] Wherein, x represents the magnitude of the time delay error monitored in real time, t represents time, α represents the natural growth rate of the time delay error without compensation, β represents the correction efficiency of the compensation parameter y on the time delay error x, y represents the real-time compensation parameter adjustment value used to correct the time delay error, δ represents the influence of the severity of the time delay error x on the compensation parameter adjustment y, and γ represents the automatic reduction rate of the compensation parameter y without the influence of the external delay error;

[0045] The model parameters are dynamically adjusted according to the monitoring data, the real-time relationship between the time delay and the compensation parameters is output, and the monitoring data is sent to the dynamic adjustment module to provide a basis for the optimization of the compensation parameters.

[0046] The above-mentioned implementation method accurately captures the time delay error generated in the quantum gate operation through the real-time monitoring module, and uses the mathematical model of error compensation to establish the dynamic relationship between the delay error and the compensation parameter adjustment. The model describes the growth of the time delay error x and its dependence on the compensation parameter y through differential equations, while considering the adjustment law and natural attenuation characteristics of the compensation parameter itself. The monitoring module collects the change data of the time delay error and the compensation parameter in real time, and calculates the dynamic interaction relationship between the two according to the formula, and then transmits these data to the dynamic adjustment module to optimize the real-time adjustment of the compensation parameter. The present invention establishes a mathematical model by real-time monitoring of the change characteristics of the time delay error and the adjustment effect of the compensation parameter, which can realize the dynamic analysis and compensation control of the time delay error. Compared with the traditional static compensation method, this implementation method can more accurately predict the change trend of the error, and optimize and adjust the compensation parameter in real time, thereby significantly improving the stability and accuracy of the quantum gate operation. In addition, the dynamic relationship modeling between the error and the compensation parameter can effectively reduce the consumption of additional computing resources and improve the operating efficiency of the system.

[0047] The dynamic adjustment module dynamically adjusts the compensation parameters based on the monitored actual time delay, including:

[0048] Calculate the difference between the energy input into the system by the compensation parameter and the energy consumed during the quantum gate operation. The specific formula is: ;

[0049] in, represents the energy input into the system by the compensation parameter, represents the energy consumption during the quantum gate operation, Indicates the surplus or shortage of system energy after compensation adjustment.

[0050] The above implementation method uses a dynamic adjustment module to calculate the input and output energy of the compensation parameter in real time to ensure that the compensation parameter can match the energy demand during the quantum gate operation. The module is based on the basic principle of energy conservation and dynamically adjusts the input energy according to the time delay data provided by the real-time monitoring module. To meet the energy consumption requirements of quantum gate operations When the calculated energy difference When it is a positive value, it means that the system energy after the compensation parameter adjustment has a certain redundancy; when When it is a negative value, it means that the system energy is insufficient and the input of the compensation parameter needs to be further optimized. Through such real-time energy monitoring and dynamic adjustment, the system can ensure the efficiency and stability of quantum gate operation at the energy level. This embodiment introduces an energy monitoring mechanism to accurately calculate the energy changes during the compensation parameter adjustment process, which can effectively avoid system instability caused by improper energy distribution; at the same time, the dynamic adjustment module and The precise control of the quantum gate improves the energy efficiency of the quantum gate operation. It provides an indicator for dynamic energy adjustment, making the compensation parameter adjustment process more scientific and refined, thereby improving the overall performance of the quantum computing system.

[0051] The dynamic adjustment module dynamically adjusts the compensation parameters based on the actual time delay monitored:

[0052] when When >0, the energy input by the compensation parameter is greater than the energy consumed by the system operation, indicating that the system is in a stable state;

[0053] when When <0, the compensation parameter input is not sufficient to meet the needs of quantum gate operation, so the compensation amount should be increased or the compensation method should be optimized.

[0054] The above implementation method realizes the classification and response strategy of the system energy state in the dynamic adjustment module. When changes are detected >0, the system energy redundancy indicates that the compensation parameter input is sufficient, the system is in a stable operating state, and no further adjustment is required; <0, the dynamic adjustment module will identify the insufficient energy and balance the system energy demand by increasing the compensation parameter input or optimizing the compensation method (such as adjusting the compensation parameter adjustment rate, recalculating the compensation model, etc.) to ensure that the quantum gate operation can operate normally. The state judgment logic realizes the dynamic monitoring and optimization adjustment of the system energy state. >0, unnecessary compensation adjustment operations are avoided, reducing the waste of system resources; <0, the system can respond in time and avoid operation failure or system instability caused by insufficient energy by optimizing the compensation parameter input. This mechanism improves the energy management efficiency of the quantum computing system and enhances the reliability and accuracy of quantum gate operations.

[0055] The real-time monitoring module monitors the actual time delay generated during the quantum gate operation in real time and also obtains the actual measured value T of the actual time delay T. m , compared with the actual measured value T m With the preset time delay threshold T t , if T m >T t , then the event that the time delay exceeds the threshold is recorded.

[0056] The above implementation method uses a real-time monitoring module to accurately capture the time delay generated in the quantum gate operation and obtain the actual measured value T of the time delay in real time. m The monitoring module compares Tm with the time delay threshold Tt set by the system:

[0057] When T m ≤T t When , it indicates that the time delay is within the acceptable range and the system is operating normally;

[0058] When T m >T t When the time delay exceeds the threshold, the monitoring module will record the event and store the data in the event log for subsequent analysis and adjustment of compensation strategies;

[0059] This process can be achieved through automated operation of hardware or software, ensuring efficient collection and processing of real-time monitoring data and providing a stable operating basis for the system.

[0060] In this embodiment, the time delay threshold T is set t , realizing the precise monitoring and event recording functions of the actual time delay. Compared with the traditional monitoring method, this implementation method can capture the abnormal situation of time delay exceeding the threshold in real time, providing a basis for the subsequent optimization and compensation strategy, thereby improving the system's response speed and processing capabilities to abnormal situations; at the same time, the event recording function can provide historical data support for system maintenance and performance optimization, which is helpful to improve the stability and reliability of the quantum computing system in the long term.

[0061] The dynamic adjustment module dynamically adjusts the compensation parameters based on the actual time delay monitored, and also reads the number of recorded time delay exceeding threshold events M, and calculates the average time delay deviation dT=(T m -T t ) / M, set the predetermined event number threshold T h , if M>T h , then adjust the compensation parameter C p1 =C p +ΔC, where T h is the predetermined event number threshold, and ΔC is the preset adjustment increment.

[0062] The above implementation method analyzes the statistical data of time delay over-threshold events through the dynamic adjustment module, and provides a compensation parameter optimization mechanism based on time delay deviation. The dynamic adjustment module first reads the total number of over-threshold events M recorded from the monitoring module, and uses the measured time delay value T m and the preset threshold T t Calculate the average time delay deviation dT. When the number of over-threshold events M exceeds the set number threshold Th, the system determines that the current compensation parameters are insufficient to cope with the actual operating conditions, so the dynamic adjustment module adjusts the compensation parameters C p Incremental adjustment is performed, and the compensation value increases by ΔC, thereby reducing the frequency of super-threshold events and improving the stability of system operation. This implementation method can dynamically evaluate the effectiveness of the compensation parameters by counting the number of super-threshold events M and calculating the time delay deviation dT, and optimize the compensation parameters through incremental adjustment; this adjustment strategy based on actual data can effectively reduce the occurrence of time delay super-threshold events and improve the system's adaptability to complex quantum computing scenarios. At the same time, the adjustment of the compensation parameters is only when M>T h It is triggered in real time, avoiding system fluctuations that may be caused by frequent adjustments and ensuring the stability and efficiency of the quantum computing system.

[0063] The quantum gate operation module uses the adjusted compensation parameters to perform subsequent quantum gate operations to reduce phase errors and also includes reading the adjusted compensation parameters C p1 , calculate the theoretical phase error G of the current quantum gate operation p , preset the maximum phase error threshold E max , if |G p |>E max , then readjust the compensation parameter C p1 = C p +k×|G p |, where E max is the preset maximum phase error threshold, k is the proportional coefficient, and the final adjusted compensation parameter C is applied. p1 Perform quantum gate operations.

[0064] The above implementation method combines the quantum gate operation module with the real-time dynamic adjustment of the compensation parameter C p , further optimize the control of phase error. The system first reads the adjusted compensation parameter C p And calculate the theoretical phase error G of the current quantum gate operation p When the theoretical phase error |G p ∣Exceeds the preset maximum phase error threshold E max When the system determines the current compensation parameter C p The phase error cannot be effectively compensated, so the new compensation parameter C is calculated according to the error ratio adjustment mechanism.p1 The compensation parameter adjustment is determined by the proportional coefficient k and the error size |G p | Decision to ensure that the compensation strength fits the error range. Finally, the quantum gate operation module uses the adjusted compensation parameter C p1 Execute quantum gate operation, effectively reduce phase error, and improve the accuracy of quantum gate operation. p And compare it with the maximum phase error threshold E max By comparing, dynamically judging the effectiveness of the compensation parameters and re-adjusting the compensation parameters when necessary, the accuracy of phase error control can be significantly improved; the proportional coefficient k is used to ensure that the adjustment range of the compensation parameters is proportional to the error size, effectively avoiding over-compensation or under-compensation; in addition, by applying the final adjusted compensation parameter C in real time p1 , further reducing the error accumulation problem in quantum gate operations and improving the overall stability and reliability of the quantum computing system.

[0065] The compensation parameter setting module also includes a historical data analysis unit, which is used to dynamically adjust the initial compensation parameter P0 according to the statistical results of the historical data of the quantum gate operation. The above embodiment realizes the dynamic adjustment of the initial compensation parameter P0 by introducing the historical data analysis unit in the compensation parameter setting module. The historical data analysis unit collects the historical data accumulated during the quantum gate operation, including key information such as time delay, phase error, and compensation parameter adjustment value, and performs statistical analysis and trend prediction on these data. Based on the analysis results, the system can optimize the setting of the initial compensation parameter P0 to make it more suitable for the needs of the current quantum computing task. For example, when the historical data shows that the time delay deviation of a certain type of quantum gate operation always has a specific trend (such as gradually increasing or decreasing), the historical data analysis unit can appropriately increase or decrease the initial compensation parameter P0 to more accurately match the current task, thereby reducing the frequency of subsequent dynamic adjustments and improving system efficiency. This embodiment significantly improves the accuracy of the compensation parameter setting by using the historical data of quantum gate operations for statistical analysis and dynamic adjustment of the initial compensation parameter P0; the dynamically adjusted initial compensation parameters can better adapt to the needs of different tasks, reduce the computational burden of real-time compensation, and improve the overall efficiency and operational stability of the quantum computing system. In addition, the accumulation and analysis of historical data can provide long-term support for the optimization of compensation parameters and lay the foundation for future system expansion and performance improvement.

[0066] The real-time monitoring module includes a delay analysis unit, which is used to dynamically record delay data according to the time delay generated in the quantum gate operation, and generate a delay trend report, which is provided to the dynamic adjustment module as an adjustment basis. The above embodiment realizes real-time analysis and trend evaluation of the time delay in the quantum gate operation by setting a delay analysis unit in the real-time monitoring module. The delay analysis unit dynamically records the delay data T during the quantum gate operation. m , including the actual time delay value, the time point when the delay occurs, and the delay exceeding the preset threshold T t Based on these data, the delay analysis unit uses statistical and trend analysis methods to generate a delay trend report, which contains trend information of delay changes (such as the rate of increase or decrease of delay, periodic characteristics, etc.) and key data summaries. The generated delay trend report will be transmitted to the dynamic adjustment module in real time as a basis for adjusting the compensation parameters. For example, when the trend report shows that the delay data shows a trend of continuous increase, the dynamic adjustment module can increase the compensation parameters in advance to avoid the impact of delay accumulation on the quantum gate operation; and when the delay data tends to be stable, the dynamic adjustment module can reduce unnecessary compensation and optimize resource allocation. By introducing a delay analysis unit, this embodiment can not only dynamically monitor the time delay data in the quantum gate operation, but also analyze and predict the change trend of the delay, providing a scientific basis for the dynamic adjustment module to adjust the compensation parameters. The generation of delay trend reports helps to identify potential problems in system operation, take adjustment measures in advance, and improve the stability and accuracy of quantum gate operations. At the same time, this method reduces the dependence on real-time monitoring module data and improves the response speed and operation efficiency of the system.

[0067] The real-time monitoring module and the dynamic adjustment module are connected via a high-speed data interface to transmit time delay data and compensation adjustment data in real time. The above embodiment ensures that the time delay data and compensation adjustment data can be transmitted quickly and efficiently by setting a high-speed data interface between the real-time monitoring module and the dynamic adjustment module. The real-time monitoring module collects the time delay data during the quantum gate operation in real time, such as the actual time delay value T m, delay change rate, record of events exceeding threshold, etc., and transmit the data to the dynamic adjustment module through a high-speed data interface. The dynamic adjustment module calculates the compensation parameter adjustment value according to the received real-time data, and feeds back the adjustment result to the real-time monitoring module through the same data interface to achieve closed-loop control. The high-speed data interface adopts a low-latency, high-bandwidth communication protocol, such as optical fiber communication technology, to ensure the real-time and stability of data transmission, thereby supporting rapid response to delay changes and compensation requirements during quantum computing. This embodiment realizes real-time and efficient transmission of time delay data and compensation adjustment data by introducing a high-speed data interface between the real-time monitoring module and the dynamic adjustment module. Compared with traditional data transmission methods, high-speed data interfaces can significantly reduce delays, improve the real-time nature of data interaction, and ensure that the system can respond to delay changes in quantum gate operations in a timely manner and adjust compensation parameters, thereby improving the accuracy and efficiency of quantum computing. At the same time, the use of high-speed data interfaces also enhances the data processing capabilities of the system, providing support for more complex quantum computing tasks in the future.

[0068] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A quantum computing information supervision system, characterized in that: The system comprises: The compensation parameter setting module is used to preset compensation parameters before quantum gate operation to correct the expected phase error, including setting the maximum compensation parameter value allowed in quantum gate operation, setting the initial value according to historical data, modeling the change of compensation parameters over time, and predicting the optimal compensation parameters before quantum gate operation. The specific formula is: ; Wherein, P(t) represents the change of the compensation parameter value with time t, t represents time, K represents the maximum value of the compensation parameter, P0 represents the initial compensation parameter value, r represents the compensation adjustment rate, and e represents the base of the natural logarithm; A real-time monitoring module is used to monitor the actual time delay generated during the quantum gate operation in real time; A dynamic adjustment module connected to the compensation parameter setting module and the real-time monitoring module, for dynamically adjusting the compensation parameters based on the monitored actual time delay; The quantum gate operation module connected to the compensation parameter setting module, the real-time monitoring module and the dynamic adjustment module is used to perform subsequent quantum gate operations using the adjusted compensation parameters to reduce the phase error, including modeling the phase error of the quantum state, calculating the number of compensation operations required to reduce the phase error in the quantum gate operation according to the compensation parameters output by the dynamic adjustment module, and optimizing the phase error in the quantum gate operation by controlling the error coverage range so that it complies with the phase error range allowed in quantum computing. The specific formula is: ; Where D represents the complexity of the phase error in the quantum gate operation, N(ϵ) represents the number of compensation operations required to reduce the phase error in the quantum gate operation, Represents the range of phase errors allowed in quantum computing.

2. The information supervision system for quantum computing according to claim 1, characterized in that: The real-time monitoring module performs real-time monitoring of the actual time delay generated during the quantum gate operation process, including: The time delay error and error compensation behavior are modeled, and the rate of change of the time delay error and the impact of compensation parameter adjustment on it are monitored in real time. The specific formula is: ， ； Wherein, x represents the magnitude of the time delay error monitored in real time, t represents time, α represents the natural growth rate of the time delay error without compensation, β represents the correction efficiency of the compensation parameter y on the time delay error x, y represents the real-time compensation parameter adjustment value used to correct the time delay error, δ represents the influence of the severity of the time delay error x on the compensation parameter adjustment y, and γ represents the automatic reduction rate of the compensation parameter y without the influence of the external delay error; The model parameters are dynamically adjusted according to the monitoring data, the real-time relationship between the time delay and the compensation parameters is output, and the monitoring data is sent to the dynamic adjustment module to provide a basis for the optimization of the compensation parameters.

3. The information supervision system for quantum computing according to claim 1, characterized in that: The dynamic adjustment module dynamically adjusts the compensation parameters based on the monitored actual time delay, including: Calculate the difference between the energy input into the system by the compensation parameter and the energy consumed during the quantum gate operation. The specific formula is: ; in, represents the energy input into the system by the compensation parameter, represents the energy consumption during the quantum gate operation, Indicates the surplus or shortage of system energy after compensation adjustment.

4. The information supervision system for quantum computing according to claim 3, characterized in that: The dynamic adjustment module dynamically adjusts the compensation parameters based on the monitored actual time delay: when When >0, the energy input by the compensation parameter is greater than the energy consumed by the system operation, indicating that the system is in a stable state; when When <0, the compensation parameter input is not sufficient to meet the needs of quantum gate operation, so the compensation amount should be increased or the compensation method should be optimized.

5. The information supervision system for quantum computing according to claim 1, characterized in that: The real-time monitoring module performs real-time monitoring of the actual time delay generated during the quantum gate operation and further comprises obtaining an actual measured value T of the actual time delay T. m , compared with the actual measured value T m With the preset time delay threshold T t , if T m >T t , then the event that the time delay exceeds the threshold is recorded.

6. The information supervision system for quantum computing according to claim 5, characterized in that: The dynamic adjustment module dynamically adjusts the compensation parameters based on the monitored actual time delay and also includes reading the number of recorded time delay exceeding threshold events M, calculating the average time delay deviation dT=(T m -T t ) / M, set the predetermined event number threshold T h , if M>T h , then adjust the compensation parameter C p1 =C p +ΔC, where ΔC is the preset adjustment increment.

7. The information supervision system for quantum computing according to claim 6, characterized in that: The quantum gate operation module uses the adjusted compensation parameter to perform subsequent quantum gate operations to reduce the phase error and further includes reading the adjusted compensation parameter C p1 , calculate the theoretical phase error G of the current quantum gate operation p , preset the maximum phase error threshold E max , if |G p |>E max , then readjust the compensation parameter C p1 = C p +k×|G p |, where k is the proportional coefficient, and the final adjusted compensation parameter C is applied p1 Perform quantum gate operations.

8. The information supervision system for quantum computing according to claim 1, characterized in that: The compensation parameter setting module also includes a historical data analysis unit for dynamically adjusting the initial compensation parameter P0 according to the statistical results of the quantum gate operation historical data.

9. The information supervision system for quantum computing according to claim 1, characterized in that: The real-time monitoring module includes a delay analysis unit, which is used to dynamically record delay data according to the time delay generated in the quantum gate operation, and generate a delay trend report, which is provided to the dynamic adjustment module as an adjustment basis.

10. The information supervision system for quantum computing according to claim 1, characterized in that: The real-time monitoring module and the dynamic adjustment module are connected via a high-speed data interface to transmit time delay data and compensation adjustment data in real time.

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