Optimal phase compensation method and system based on light intensity detection weak measurement technology

Abstract

The present invention provides an optimal phase compensation method based on light intensity detection weak measurement technology, comprising the following steps: step S1: building a quantum weak measurement optical platform for real-time estimation of time-varying parameters based on light intensity detection, and determining the optimal reference phase adjustment interval of the time-varying phase by applying an external signal; step S2: starting measurement, and calculating the time-varying phase estimation value at the current moment; step S3: adjusting relevant parameters according to the optimal reference phase adjustment interval set in step S1 and the calculation result of step S2, so that the time-varying phase estimation value at the current moment operates in the optimal interval; step S4: repeating steps S2 and S3 to achieve real-time optimal estimation of the time-varying phase; step S5: waiting for measurement to end; the adjustment method of the time-varying parameter estimation scheme based on the weak measurement technology is further optimized, and the optimal accuracy can be achieved, and the optimal phase magnification and the optimal precision phase estimation can be achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of weak measurement, and in particular to a phase compensation method with optimal accuracy for a real-time estimation scheme of time-varying phase based on quantum weak measurement theory using light intensity detection. Background Art

[0002] Since its introduction, weak measurement technology has achieved sensitivities unattainable by classical methods in measuring numerous physical quantities, including sound, light, heat, force, and magnetism. However, in practice, many physical quantities of interest are unknown and time-varying, making high-precision and sensitive measurements of these time-varying quantities crucial. When applying weak measurement technology to the estimation of time-varying quantities, it is important to consider the constraints imposed by the magnitude of the unknown time-varying quantity and the linear range and sensitivity of the weak measurement system.

[0003] When using weak measurement technology to measure the unknown time-varying phase, the current adjustment methods all consider how to achieve the measurement of the time-varying parameters, but do not consider the optimal compensation.

[0004] Patent CN115310044A proposes a real-time estimation method and system for time-varying parameters based on weak measurement technology, and patent CN115900780A proposes an adaptive real-time estimation method and system for time-varying parameters based on weak measurement technology. By introducing a reference phase, it is possible to adjust the weak measurement working interval through the reference phase when the unknown time-varying phase exceeds the original linear interval, so that the measurement can still remain in the linear interval.

[0005] The present invention is applicable to a real-time estimation scheme of time-varying phase based on quantum weak measurement theory using light intensity detection. In view of the deficiencies in the prior art, the present invention aims to provide a time-varying parameter estimation scheme for full phase estimation based on quantum weak measurement theory, which can simultaneously achieve optimal accuracy and realize the best phase amplification factor of phase estimation, further expanding the application scope of weak measurement technology. Summary of the Invention

[0006] In view of the deficiencies in the prior art, the object of the present invention is to provide an optimal precision phase compensation method for real-time estimation of time-varying phase based on quantum weak measurement theory using light intensity detection.

[0007] The present invention provides an optimal phase compensation method based on light intensity detection weak measurement technology, comprising the following steps:

[0008] Step S1: Building a quantum weak measurement optical platform for real-time estimation of time-varying parameters based on light intensity detection, and determining the optimal reference phase adjustment range of the time-varying phase by applying an external signal;

[0009] Step S2: Start measurement and calculate the time-varying phase estimate at the current moment;

[0010] Step S3: According to the optimal reference phase adjustment interval set in step S1 and the calculation result of step S2, relevant parameters are adjusted to adjust the reference phase so that the time-varying phase estimation value at the current moment operates in the optimal interval;

[0011] Step S4: repeating steps S2 and S3 to achieve real-time optimal estimation of the time-varying phase;

[0012] Step S5: Wait until the measurement is completed;

[0013] The step S1 comprises:

[0014] Step S1.1: Introduce an external signal into the optical platform to obtain the linear range under different reference phases;

[0015] Step S1.2: Determine the optimal reference phase adjustment point corresponding to the introduction of different magnitude time-varying phases based on the measured linear intervals under different reference phases.

[0016] Step S1.3: Determine the phase adjustment range allowed for different phases based on the degree of change of the external signal The optimal reference phase adjustment range can be determined

[0017] Preferably, the optical platform in step S1 includes a dual-channel real-time detection weak measurement platform and a single-channel real-time single detection weak measurement platform.

[0018] For dual-path real-time light intensity detection weak measurement, the light emitted by light source 1 is modulated into a preset pre-selected state through the pre-selection process, and then a time-varying phase generated by the external signal is generated during the interaction process. The light then passes through the beam splitter 2 and is split into two paths: a first path and a second path. The first path undergoes phase adjustment through a first reference phase. After a first post-selection process, projection measurement is performed on a preset post-selection state. The second path passes through a reflector 3 and then undergoes phase adjustment through a second reference phase. After a second post-selection process, projection measurement is performed on a preset post-selection state. Finally, the two paths of light are received by a balanced detector 4 for intensity detection and data processing. The first reference phase, the second reference phase, and the balanced detector are connected to a computer 5, respectively.

[0019] Among them, the first reference phase and the second reference phase are opposite to each other, that is, their absolute values ​​are equal, and their absolute values ​​are recorded as The angle between the first post-selection process and the first pre-selection process is ε 11 The angle between the second post-selection process and the previous selection process is τ 12 , where ε 11 With ε 12They are opposite numbers, ε1=|ε 11 |=|ε 12 |;

[0020] For a single-path real-time detection weak measurement platform, the light emitted by light source 1 is split into two paths of light through beam splitter 2: the first path of light and the second path of light; the first path of light is modulated into a preset pre-selected state through pre-selection process 2; and then the phase generated by the external signal is generated in the interaction process. After the phase adjustment is performed through the third reference phase, after the third post-selection process, projection measurement is performed on the preset post-selection state; finally, the light is received by the first photodetector 6 for intensity detection, and the second light is received by the second photodetector 7 for intensity detection. The computer 5 processes the light received by the first photodetector 6 and the second photodetector 7; the third reference phase, the first photodetector 6, and the second photodetector 7 are connected to the computer 5 respectively; wherein the third reference phase is recorded as The angle between the third post-selection process and the front-selection process is denoted as ε2.

[0021] Preferably, in step S2,

[0022] An unknown external signal is introduced to generate a time-varying phase parameter to be measured; a weak measurement system is used to measure the time-varying phase parameter, and an estimated time-varying phase value at the current moment is calculated based on the measured value of the time-varying phase parameter at the current moment;

[0023] For dual-channel real-time light intensity detection weak measurement, observation indicators Among them, I0 is the light source intensity, I1(t) and I2(t) are the first and second detection light intensities respectively; at t j At the moment, the time-varying phase estimate

[0024] For single-channel real-time light intensity detection weak measurement, observation indicators I(t) is the detection light intensity; at t j At the moment, the time-varying phase estimate

[0025] Preferably, the step S3 includes:

[0026] Step S3.1: Determine the time-varying phase estimate at the current moment based on the observation quantity in the current observation index

[0027] Step S3.2: Determine the time-varying phase estimate at the current moment Whether it is in the optimal reference phase adjustment range;

[0028] Step S3.3: Judgment step, use Compared with the optimal reference phase adjustment interval, if If it is not in the optimal adjustment range, the reference phase is adjusted; if If it is in the optimal adjustment range, proceed directly to the next measurement.

[0029] An optimal phase compensation system based on light intensity detection and weak measurement technology includes the following modules:

[0030] Module M1: Build a quantum weak measurement optical platform for real-time estimation of time-varying parameters based on light intensity detection, and determine the optimal reference phase adjustment range of the time-varying phase by applying an external signal;

[0031] Module M2: Start measurement and calculate the time-varying phase estimate at the current moment;

[0032] Module M3: According to the optimal reference phase adjustment interval set by module M1 and the calculation result of module M2, adjust the relevant parameters, adjust the reference phase, and make the time-varying phase estimation value at the current moment work in the optimal interval;

[0033] Module M4: Repeatedly triggers the operation of modules M2 and M3 to achieve real-time optimal estimation of the time-varying phase;

[0034] Module M5: Waiting for measurement to be completed;

[0035] The module M1 includes:

[0036] Module M1.1: Introducing external signals into the optical platform to obtain the linear range under different reference phases;

[0037] Module M1.2: Determine the optimal reference phase adjustment point corresponding to the introduction of different magnitude time-varying phases based on the measured linear intervals under different reference phases

[0038] Module M1.3: Determine the allowable phase adjustment range of different phases according to the degree of change of the external signal The optimal reference phase adjustment range can be determined

[0039] Preferably, the optical platform in the module M1 includes a dual-channel real-time detection weak measurement platform and a single-channel real-time single detection weak measurement platform.

[0040] For dual-path real-time light intensity detection weak measurement, the light emitted by light source 1 is modulated into a preset pre-selected state through the pre-selection process, and then a time-varying phase generated by the external signal is generated during the interaction process. The light then passes through the beam splitter 2 and is split into two paths: a first path and a second path. The first path undergoes phase adjustment through a first reference phase. After a first post-selection process, projection measurement is performed on a preset post-selection state. The second path passes through a reflector 3 and then undergoes phase adjustment through a second reference phase. After a second post-selection process, projection measurement is performed on a preset post-selection state. Finally, the two paths of light are received by a balanced detector 4 for intensity detection and data processing. The first reference phase, the second reference phase, and the balanced detector are connected to a computer 5, respectively.

[0041] Among them, the first reference phase and the second reference phase are opposite to each other, that is, their absolute values ​​are equal, and their absolute values ​​are recorded as The angle between the first post-selection process and the first pre-selection process is τ 11 The angle between the second post-selection process and the previous selection process is ε 12 , where ε 11 With ε 12 They are opposite numbers, ε1=|ε 11 |=|ε 12 |;

[0042] For a single-path real-time detection weak measurement platform, the light emitted by light source 1 is split into two paths of light through beam splitter 2: the first path of light and the second path of light; the first path of light is modulated into a preset pre-selected state through the pre-selection process; and then the phase generated by the external signal is generated during the interaction process. After the phase adjustment is performed through the third reference phase, after the third post-selection process, projection measurement is performed on the preset post-selection state; finally, the light is received by the first photodetector 6 for intensity detection, and the second light is received by the second photodetector 7 for intensity detection. The computer 5 processes the light received by the first photodetector 6 and the second photodetector 7; the third reference phase, the first photodetector 6, and the second photodetector 7 are connected to the computer 5 respectively; wherein the third reference phase is recorded as The angle between the third post-selection process and the front-selection process is denoted as ε2.

[0043] Preferably, in the module M2,

[0044] An unknown external signal is introduced to generate a time-varying phase parameter to be measured; a weak measurement system is used to measure the time-varying phase parameter, and an estimated time-varying phase value at the current moment is calculated based on the measured value of the time-varying phase parameter at the current moment;

[0045] For dual-channel real-time light intensity detection weak measurement, observation indicators Among them, I0 is the light source intensity, I1(t) and I2(t) are the first and second detection light intensities respectively; at t j At the moment, the time-varying phase estimate

[0046] For single-channel real-time light intensity detection weak measurement, observation indicators I(t) is the detection light intensity; at t j At the moment, the time-varying phase estimate

[0047] Preferably, the module M3 includes:

[0048] Module M3.1: Determine the time-varying phase estimate at the current moment based on the observed value in the current observation index

[0049] Module M3.2: Determine the time-varying phase estimate at the current moment Whether it is in the optimal reference phase adjustment range;

[0050] Module M3.3: Judgment steps, use Compared with the optimal reference phase adjustment interval, if If it is not in the optimal adjustment range, the reference phase is adjusted; if If it is in the optimal adjustment range, proceed directly to the next measurement.

[0051] A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the computer program implements the steps of an optimal phase compensation method based on light intensity detection weak measurement technology.

[0052] An electronic device comprises a memory, a processor and a computer program stored in the memory and runnable on the processor. When the computer program is executed by the processor, the steps of an optimal phase compensation method based on light intensity detection weak measurement technology are implemented.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] 1. From an overall technical perspective, the present invention can achieve phase estimation with optimal accuracy and optimal phase amplification, further expanding the application scope of weak measurement;

[0055] 2. The present invention has a wide range of applications and can be used for single-channel real-time light intensity measurement and detection, as well as dual-channel real-time light intensity measurement and detection.

[0056] 3. The present invention sets an adjustment threshold according to the fluctuation of the signal to be measured by comparing the corresponding relationship between the linear interval of the scheme and the reference phase, and can achieve the optimal accuracy and the best phase amplification factor in the real-time estimation of the time-varying phase. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0058] Figure 1 Schematic diagram of the process of the present invention;

[0059] Figure 2 Schematic diagram of dual-channel real-time light intensity detection and weak measurement;

[0060] Figure 3 Schematic diagram of single-channel real-time light intensity detection and weak measurement;

[0061] Figure 4 Schematic diagram of the optimal phase adjustment point and tolerance range.

[0062] As shown in the figure:

[0063]

[0064] DETAILED DESCRIPTION

[0065] The present invention will be described in detail below with reference to specific examples. The following examples will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form.

[0066] like Figure 1 As shown, the present invention provides an optimal phase compensation method based on light intensity detection weak measurement technology, including:

[0067] Step S1: Building a quantum weak measurement optical platform for real-time estimation of time-varying parameters based on light intensity detection, and determining the optimal reference phase adjustment range of the time-varying phase by applying an external signal;

[0068] Step S2: Start measurement and calculate the time-varying phase estimate at the current moment;

[0069] Step S3: According to the optimal reference phase adjustment interval set in step S1 and the calculation result of step S2, relevant parameters are adjusted to adjust the reference phase so that the time-varying phase estimation value at the current moment operates in the optimal interval;

[0070] Step S4: repeating steps S2 and S3 to achieve real-time optimal estimation of the time-varying phase;

[0071] Step S5: Wait until the measurement is completed;

[0072] The step S1 comprises:

[0073] Step S1.1: Introduce an external signal into the optical platform to obtain the linear range under different reference phases;

[0074] Step S1.2: Determine the optimal reference phase adjustment point corresponding to the introduction of different magnitude time-varying phases based on the measured linear intervals under different reference phases.

[0075] Step S1.3: Determine the phase adjustment range allowed for different phases based on the degree of change of the external signal The optimal reference phase adjustment range can be determined

[0076] like Figure 2 As shown, the two-way real-time detection weak measurement within its scope includes: the pre-selection process is A, the interaction process is B, the first reference phase is C, the second reference phase is D, the first post-selection process is E, and the second post-selection process is F;

[0077] The light emitted by the light source passes through the pre-selection process, and then generates a phase due to the action of the external signal in the interaction process, and then passes through the beam splitter to be divided into two light paths: the first light path and the second light path; the first light path is phase-adjusted through the first reference phase and passes through the first post-selection process. The second light path passes through the reflector and then undergoes phase adjustment through the second reference phase and the second post-selection process; finally, the two light paths are received by the balanced detector for intensity detection and data processing, and the first reference phase, the second reference phase and the balanced detector are connected to the computer respectively; wherein, the first reference phase and the second reference phase are opposite to each other, and the angles between the first post-selection process and the second post-selection process and the pre-selection process are also opposite to each other. For dual-path real-time light intensity detection and weak measurement, the observation index Among them, I0 is the light source intensity, I1 and I2 are the first and second detection light intensities respectively. j At the moment, the time-varying phase estimate

[0078] like Figure 3 As shown, the single-channel real-time detection weak measurement within its scope includes: the third reference phase is G, the third post-selection process is H;

[0079] The light emitted by the light source is divided into two paths of light through a beam splitter: a first path of light and a second path of light; the first path of light undergoes a pre-selection process, and then generates a phase due to the action of an external signal in the interaction process, undergoes phase adjustment through a third reference phase, undergoes a third post-selection process, and is finally received by the first photodetector for intensity detection, and the second path of light is received by the second photodetector for intensity detection, and the computer processes the light received by the first photodetector and the second photodetector; the third reference phase, the first photodetector, and the second photodetector are connected to the computer respectively. For single-path real-time light intensity detection and weak measurement, the observation index I(t) is the detection light intensity; at t j At the moment, the time-varying phase estimate

[0080] like Figure 4 As shown, for dual-channel real-time light intensity detection weak measurement, the observation index Among them, I0 is the light source intensity, I1(t) and I2(t) are the first and second detection light intensities respectively. It can be found that when When the weak measurement condition It can be approximated as Let “<<” be a fixed positive constant k, The range is when When ξ is a constant 4k, and for the phase value sound Can achieve the best magnification and the best precision.

[0081] For single-channel real-time light intensity detection weak measurement, observation indicators I(t) is the detection light intensity. When the weak measurement condition It can be approximated as The range is when When R is a constant 2k, and for the phase value Can achieve the best magnification and the best precision.

[0082] When the phase is exactly at the boundary of the set linear interval, its slope is the largest, that is, the sensitivity is the largest, and it can reach the maximum Fisher information. It can just achieve the best phase amplification factor and the optimal phase estimation. It can be considered that the current weak measurement system is optimal.

[0083] Preferably, step S3 includes the following steps:

[0084] Step S3.1: Determine the time-varying phase estimate at the current moment based on the observation quantity in the current observation index

[0085] Step S3.2: Determine the time-varying phase estimate at the current moment Whether it is in the optimal reference phase adjustment range;

[0086] Step S3.3: Judgment step, use Compared with the optimal reference phase adjustment interval, if If it is not in the optimal adjustment range, the reference phase is adjusted; if If it is in the optimal adjustment range, proceed directly to the next measurement.

[0087] From an overall technical perspective, the present invention enables phase estimation that simultaneously achieves optimal accuracy and phase amplification, further expanding the scope of weak-phase measurement applications. The present invention has a wide range of applications, applicable to both single-channel real-time light intensity measurement and detection, and dual-channel real-time light intensity measurement and detection. By comparing the linear interval of the scheme with the reference phase and setting an adjustment threshold based on the fluctuations of the measured signal, the present invention achieves both optimal accuracy and optimal phase amplification in real-time estimation of time-varying phase.

[0088] The present invention also provides an optimal phase compensation system based on light intensity detection weak measurement technology. The optimal phase compensation system based on light intensity detection weak measurement technology can be realized by executing the process steps of the optimal phase compensation method based on light intensity detection weak measurement technology, that is, those skilled in the art can understand the optimal phase compensation method based on light intensity detection weak measurement technology as a preferred implementation of the optimal phase compensation system based on light intensity detection weak measurement technology.

[0089] An optimal phase compensation system based on light intensity detection and weak measurement technology includes the following modules:

[0090] Module M1: Build a quantum weak measurement optical platform for real-time estimation of time-varying parameters based on light intensity detection, and determine the optimal reference phase adjustment range of the time-varying phase by applying an external signal; Module M2: Start measurement and calculate the time-varying phase estimate at the current moment; Module M3: Adjust relevant parameters based on the optimal reference phase adjustment range set by module M1 and the calculation results of module M2, and adjust the reference phase so that the time-varying phase estimate at the current moment works in the optimal range; Module M4: Repeatedly trigger the operation of modules M2 and M3 to achieve real-time optimal estimation of the time-varying phase; Module M5: Wait for the measurement to end;

[0091] The module M1 includes:

[0092] Module M1.1: Introduce external signals into the optical platform to obtain the linear range under different reference phases; Module M1.2: Determine the optimal reference phase adjustment point corresponding to the introduction of different time-varying phases based on the measured linear ranges under different reference phases Module M1.3: Determine the allowable phase adjustment range of different phases according to the degree of change of the external signal The optimal reference phase adjustment range can be determined

[0093] Specifically, the optical platform in the module M1 includes a dual-channel real-time detection weak measurement platform and a single-channel real-time single detection weak measurement platform. For the dual-channel real-time light intensity detection weak measurement, the light emitted by the light source is modulated into a preset pre-selection state through a pre-selection process, and then a time-varying phase generated by the external signal is generated during the interaction process. Then it passes through the beam splitter and is divided into two light paths: the first light path and the second light path; the first light path is phase-adjusted through the first reference phase; after the first post-selection process, projection measurement is performed on the preset post-selection state, and the second light path passes through the reflector and then undergoes phase adjustment through the second reference phase; after the second post-selection process, projection measurement is performed on the preset post-selection state; finally, the two light paths are received by the balanced detector for intensity detection and data processing, and the first reference phase, the second reference phase and the balanced detector are connected to the computer respectively; wherein, the first reference phase and the second reference phase are opposite to each other, that is, the absolute values ​​are equal, and the absolute values ​​of the two are recorded as The angle between the first post-selection process and the first selection process is ε 11 The angle between the second post-selection process and the previous selection process is ε 12 , where ε 11 With ε 12 They are opposite numbers, ε1=|ε 11 |=|ε 12 |;

[0094] For a single-path real-time detection weak measurement platform, the light emitted by the light source is divided into two paths of light through a beam splitter: the first path of light and the second path of light; the first path of light is modulated into a preset pre-selected state through a pre-selection process; and then a phase shift is generated due to the action of an external signal during the interaction process. Phase adjustment is performed through the third reference phase, and after the third post-selection process, projection measurement is performed on the preset post-selection state; finally, the light is received by the first photodetector for intensity detection, and the second light is received by the second photodetector for intensity detection. The computer processes the light received by the first photodetector and the second photodetector; the third reference phase, the first photodetector, and the second photodetector are connected to the computer respectively; wherein the third reference phase is recorded as The angle between the third post-selection process and the front-selection process is denoted as ε2.

[0095] Specifically, in the module M2, an unknown external signal is introduced to generate a time-varying phase parameter to be measured; a weak measurement system is used to measure the time-varying phase parameter, and an estimated time-varying phase value at the current moment is calculated based on the measured value of the time-varying phase parameter at the current moment;

[0096] For dual-channel real-time light intensity detection weak measurement, observation indicators Among them, I0 is the light source intensity, I1(t) and I2(t) are the first and second detection light intensities respectively; at t j At the moment, the time-varying phase estimate

[0097] For single-channel real-time light intensity detection weak measurement, observation indicators I(t) is the detection light intensity; at t j At the moment, the time-varying phase estimate

[0098] Specifically, the module M3 includes: Module M3.1: Determine the time-varying phase estimate at the current moment based on the observation quantity in the current observation index Module M3.2: Determine the time-varying phase estimate at the current moment Is it in the optimal reference phase adjustment range? Module M3.3: Judgment step, use Compared with the optimal reference phase adjustment interval, if If it is not in the optimal adjustment range, the reference phase is adjusted; if If it is in the optimal adjustment range, proceed directly to the next measurement.

[0099] A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the computer program implements the steps of an optimal phase compensation method based on light intensity detection weak measurement technology.

[0100] An electronic device comprises a memory, a processor and a computer program stored in the memory and runnable on the processor. When the computer program is executed by the processor, the steps of an optimal phase compensation method based on light intensity detection weak measurement technology are implemented.

[0101] It should be pointed out that, for those skilled in the art, several changes and improvements can be made without departing from the concept of the present invention. These all fall within the scope of protection of the present invention. Those skilled in the art understand that, in addition to implementing the system and its various devices, modules, and units provided by the present invention in a purely computer-readable program code format, it is entirely possible to implement the same functions of the system and its various devices, modules, and units provided by the present invention in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered as a hardware component, and the devices, modules, and units included therein for realizing various functions can also be regarded as structures within the hardware component; the devices, modules, and units for realizing various functions can also be regarded as both software modules for realizing the method and structures within the hardware component.

[0102] The above describes specific embodiments of the present invention. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art may make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. The embodiments of this application and the features in the embodiments may be combined with each other in any manner unless there is a conflict.

Claims

1. An optimal phase compensation method based on light intensity detection weak measurement technology, characterized in that: The steps include: Step S1: Building a quantum weak measurement optical platform for real-time estimation of time-varying parameters based on light intensity detection, and determining the optimal reference phase adjustment range of the time-varying phase by applying an external signal; Step S2: Start measurement and calculate the time-varying phase estimate at the current moment; Step S3: According to the optimal reference phase adjustment interval set in step S1 and the calculation result of step S2, relevant parameters are adjusted so that the time-varying phase estimation value at the current moment operates in the optimal interval; Step S4: repeating steps S2 and S3 to achieve real-time optimal estimation of the time-varying phase; Step S5: Wait until the measurement is completed; The step S1 comprises: Step S1.1: Introduce an external signal into the optical platform to obtain the linear range under different reference phases; Step S1.2: Determine the optimal reference phase adjustment point corresponding to the introduction of different magnitude time-varying phases based on the measured linear intervals under different reference phases. Step S1.3: Determine the phase adjustment range allowed for different phases based on the degree of change of the external signal The optimal reference phase adjustment range can be determined The optical platform in step S1 includes a dual-channel real-time detection weak measurement platform and a single-channel real-time single-detection weak measurement platform. For dual-path real-time light intensity detection weak measurement, the light emitted by the light source (1) is modulated into a preset pre-selected state through a pre-selection process, and then a time-varying phase generated by the external signal is generated during the interaction process. The light is then split into two paths of light through a beam splitter (2): a first path of light and a second path of light; the first path of light undergoes phase adjustment through a first reference phase; after a first post-selection process, projection measurement is performed on a preset post-selection state; the second path of light passes through a reflector (3), undergoes phase adjustment through a second reference phase; after a second post-selection process, projection measurement is performed on a preset post-selection state; finally, the two paths of light are received by a balanced detector (4) for intensity detection and data processing, and the first reference phase, the second reference phase and the balanced detector are respectively connected to a computer (5); Among them, the first reference phase and the second reference phase are opposite to each other, that is, their absolute values ​​are equal, and their absolute values ​​are recorded as The angle between the first post-selection process and the first pre-selection process is ε 11 The angle between the second post-selection process and the previous selection process is ε 12 , where ε 11 With ε 12 They are opposite numbers, ε1=|ε 11 |=|ε 12 |; For a single-path real-time detection weak measurement platform, the light emitted by the light source (1) is divided into two paths of light through a beam splitter (2): a first path of light and a second path of light; the first path of light is modulated into a preset pre-selected state through a pre-selection process (2); and then a phase shift is generated due to the action of an external signal in the interaction process. Phase adjustment is performed through the third reference phase, and projection measurement is performed on a preset post-selection state after a third post-selection process; finally, the light is received by the first photodetector (6) for intensity detection, and the second light is received by the second photodetector (7) for intensity detection, and the computer (5) processes data of the light received by the first photodetector (6) and the second photodetector (7); the third reference phase, the first photodetector (6), and the second photodetector (7) are connected to the computer (5) respectively; wherein the third reference phase is recorded as The angle between the third post-selection process and the pre-selection process is denoted as ε2; In the step S2, An unknown external signal is introduced to generate a time-varying phase parameter to be measured; a weak measurement system is used to measure the time-varying phase parameter, and an estimated time-varying phase value at the current moment is calculated based on the measured value of the time-varying phase parameter at the current moment; For dual-channel real-time light intensity detection weak measurement, observation indicators Among them, I0 is the light source intensity, I1(t) and I2(t) are the first and second detection light intensities respectively; at t j At the moment, the time-varying phase estimate For single-channel real-time light intensity detection weak measurement, observation indicators I(t) is the detection light intensity; at t j At the moment, the time-varying phase estimate 2. The optimal phase compensation method based on light intensity detection weak measurement technology according to claim 1 is characterized in that: The step S3 includes: Step S3.1: Determine the time-varying phase estimate at the current moment based on the current observation index ξ(t) or R(t) Step S3.2: Determine the time-varying phase estimate at the current moment Whether it is in the optimal reference phase adjustment range; Step S3.3: Judgment step, use Compared with the optimal reference phase adjustment interval, if If it is not in the optimal adjustment range, the reference phase is adjusted; if If it is in the optimal adjustment range, proceed directly to the next measurement.

3. An optimal phase compensation system based on light intensity detection and weak measurement technology, characterized in that: Includes the following modules: Module M1: Build a quantum weak measurement optical platform for real-time estimation of time-varying parameters based on light intensity detection, and determine the optimal reference phase adjustment range of the time-varying phase by applying an external signal; Module M2: Start measurement and calculate the time-varying phase estimate at the current moment; Module M3: According to the optimal reference phase adjustment interval set by module M1 and the calculation result of module M2, adjust the relevant parameters so that the time-varying phase estimation value at the current moment works in the optimal interval; Module M4: Repeatedly triggers the operation of modules M2 and M3 to achieve real-time optimal estimation of the time-varying phase; Module M5: Waiting for measurement to be completed; The module M1 includes: Module M1.1: Introducing external signals into the optical platform to obtain the linear range under different reference phases; Module M1.2: Determine the optimal reference phase adjustment point corresponding to the introduction of different magnitude time-varying phases based on the measured linear intervals under different reference phases Module M1.3: Determine the allowable phase adjustment range of different phases according to the degree of change of the external signal The optimal reference phase adjustment range can be determined The optical platform in the module M1 includes a dual-channel real-time detection weak measurement platform and a single-channel real-time single-detection weak measurement platform. For dual-path real-time light intensity detection weak measurement, the light emitted by the light source (1) is modulated into a preset pre-selected state through a pre-selection process, and then a time-varying phase generated by the external signal is generated during the interaction process. The light is then split into two paths of light through a beam splitter (2): a first path of light and a second path of light; the first path of light undergoes phase adjustment through a first reference phase; after a first post-selection process, projection measurement is performed on a preset post-selection state; the second path of light passes through a reflector (3), undergoes phase adjustment through a second reference phase; after a second post-selection process, projection measurement is performed on a preset post-selection state; finally, the two paths of light are received by a balanced detector (4) for intensity detection and data processing, and the first reference phase, the second reference phase and the balanced detector are respectively connected to a computer (5); Among them, the first reference phase and the second reference phase are opposite to each other, that is, their absolute values ​​are equal, and their absolute values ​​are recorded as The angle between the first post-selection process and the first pre-selection process is ε 11 The angle between the second post-selection process and the previous selection process is ε 12 , where ε 11 With ε 12 They are opposite numbers, ε1=|ε 11 |=|ε 12 |; For a single-path real-time detection weak measurement platform, the light emitted by the light source (1) is divided into two paths of light through a beam splitter (2): a first path of light and a second path of light; the first path of light is modulated into a preset pre-selected state through a pre-selection process (2); and then a phase shift is generated due to the action of an external signal in the interaction process. Phase adjustment is performed through the third reference phase, and projection measurement is performed on a preset post-selection state after a third post-selection process; finally, the light is received by the first photodetector (6) for intensity detection, and the second light is received by the second photodetector (7) for intensity detection, and the computer (5) processes data of the light received by the first photodetector (6) and the second photodetector (7); the third reference phase, the first photodetector (6), and the second photodetector (7) are connected to the computer (5) respectively; wherein the third reference phase is recorded as The angle between the third post-selection process and the pre-selection process is denoted as ε2; In the module M2, An unknown external signal is introduced to generate a time-varying phase parameter to be measured; a weak measurement system is used to measure the time-varying phase parameter, and an estimated time-varying phase value at the current moment is calculated based on the measured value of the time-varying phase parameter at the current moment; For dual-channel real-time light intensity detection weak measurement, observation indicators Among them, I0 is the light source intensity, I1(t) and I2(t) are the first and second detection light intensities respectively; at t j At the moment, the time-varying phase estimate For single-channel real-time light intensity detection weak measurement, observation indicators I(t) is the detection light intensity; at t j At the moment, the time-varying phase estimate 4. The optimal phase compensation system based on light intensity detection weak measurement technology according to claim 3 is characterized in that: The module M3 includes: Module M3.1: Determine the time-varying phase estimate at the current moment based on the current observation index ξ(t) or R(t) Module M3.2: Determine the time-varying phase estimate at the current moment Whether it is in the optimal reference phase adjustment range; Module M3.3: Judgment steps, use Compared with the optimal reference phase adjustment interval, if If it is not in the optimal adjustment range, the reference phase is adjusted; if If it is in the optimal adjustment range, proceed directly to the next measurement.

5. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the optimal phase compensation method based on light intensity detection weak measurement technology according to claim 1 or 2 are implemented.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the computer program is executed by a processor, the steps of the optimal phase compensation method based on light intensity detection weak measurement technology according to claim 1 or 2 are implemented.

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