Quantum communication calibration point calibration method based on bilinear interpolation

Abstract

The application discloses a kind of quantum communication calibration point calibration methods based on bilinear interpolation.The specific steps are as follows: first, telescope is scanned with the set center point, and the serial number, image miss distance data and corresponding single-photon detector energy value of each scanning position are recorded in real time.Then, the recorded data is read by matlab software, the median of each group of miss distance data and the maximum value of each group of single-photon detector energy in each scanning position are calculated, then the median of each group of miss distance data X, Y direction is divided into 20 parts from small to large, with X direction as abscissa, with Y direction as ordinate to generate grid and carry out bilinear interpolation, finally the miss distance position corresponding to the maximum single-photon detector energy is obtained, and it is used as the calibration point position in quantum communication.The method has high precision and strong adaptability, can better improve energy receiving efficiency, reduce communication error rate, and provide better protection for quantum communication experiment.

Description

Technical Field

[0001] This invention relates to the field of quantum communication technology, and specifically to a quantum communication calibration point calibration method based on bilinear interpolation. Background Technology

[0002] Quantum communication, a form of communication that utilizes the principles of quantum mechanics to manipulate quantum states, can effectively solve information security problems. Quantum communication has three core technologies: single-photon source technology, quantum encoding and transmission technology, and single-photon detection technology. Extensive research has proven that quantum communication using single-photon sources is absolutely secure and highly efficient. Therefore, an ideal single-photon source is fundamental to quantum communication, and research into its characteristics is of great value. However, single-photon channels are narrow, requiring the calibration of the position in the field of view where the received energy is at its maximum; this is called the calibration point. Determining how to calibrate this point has become a pressing problem that needs to be solved.

[0003] Currently, when calibrating the location of calibration points, the sequence number, image miss distance data, and corresponding single-photon detector energy value of each scan position are recorded in real time during telescope scanning. Then, the image miss distance corresponding to the maximum single-photon detector energy is directly found from the recorded data. However, this method has a major drawback: the scan points cannot completely and densely cover the spatial location. Locations not scanned lack single-photon detector energy data, thus the obtained image miss distances are somewhat biased.

[0004] With the development of quantum communication technology, the requirements for communication quality are becoming increasingly stringent, especially for high-bit-rate information transmission, thus placing higher demands on reception efficiency. Existing methods are struggling to meet these efficiency requirements. Summary of the Invention

[0005] The purpose of this invention is to provide a quantum communication calibration point calibration method based on bilinear interpolation, which can improve energy reception efficiency, reduce communication error rate, and provide better protection for quantum communication experiments.

[0006] The technical solution adopted in this invention is: a quantum communication calibration point calibration method based on bilinear interpolation, comprising the following steps:

[0007] (1) Scan the telescope with the set center point and record the serial number of each scanning position, the image miss distance data and the corresponding single-photon detector energy value in real time;

[0008] (2) Read the real-time recorded data using MATLAB software;

[0009] (3) Calculate the scan points D1, D2...D respectively. 100 The median off-target amount X in each group med1 Xmed2 …X med100 and Y med1 Y med2 Y med100 ;

[0010] (4) Calculate the scan points D1, D2...D respectively. 100 The maximum energy P of each group of single-photon detectors max1 P max2 …P max100 ;

[0011] (5) The median value of the miss distance for each group X med1 X med2 …X med100 and Y med1 Y med2 Y med100 Divide into 20 equal parts from smallest to largest to get X avg1 X avg2 …X avg20 and Y avg1 Y avg2 …Y avg20 And generate a grid matrix S;

[0012] (6) The X avg1 X avg2 …X avg20 Y avg1 Y avg2 …Y avg20 P max1 P max2 …P max100 The matrix Power is obtained from the matrix S using bilinear interpolation.

[0013] (7) Calculate the maximum value P in the Power matrix. max ;

[0014] (8) Calculate P max The corresponding miss distances X and Y are used as calibration point positions.

[0015] Furthermore, in step (1), taking into account both efficiency and accuracy, the number of scanning points is set to 100.

[0016] Furthermore, in step (3), the amount of off-target data recorded at each scanning point is not completely consistent. Here, the median value of the off-target data of all images at each scanning point is taken.

[0017] Furthermore, in step (4), the amount of energy value data recorded for the single-photon detector is not completely consistent. Here, the maximum value of the energy value of all single-photon detectors in each scanning point is taken.

[0018] Furthermore, in step (5), matrix S is a 20x20 two-dimensional matrix. x1 The minimum value in the X direction of the miss distance data in each group of images, S x20 S is the maximum value in the X direction among the miss distance data for each image set; y1 The minimum value in the Y direction and S in the median of the miss distance data for each image group. y20 This represents the maximum value in the Y direction among the miss distance data for each image group.

[0019] Furthermore, in step (6), for bilinear interpolation, the built-in MATLAB griddata() function is used.

[0020] The advantages of this invention compared to the prior art are:

[0021] (1) Compared with the previous method of not performing data fitting and interpolation, the present invention directly finds the number of image misses corresponding to the maximum energy of the single photon detector from the recorded data, which is more reasonable and effective.

[0022] (2) The present invention obtains the energy distribution of a single-photon detector through bilinear interpolation, which has higher accuracy and is simple to calculate and easy to implement in engineering. Attached Figure Description

[0023] Figure 1 This is a flowchart of a quantum communication calibration point calibration method based on bilinear interpolation according to the present invention. Detailed Implementation

[0024] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] The specific process of the quantum communication calibration point determination method based on bilinear interpolation described in this invention is attached. Figure 1 As shown, the specific steps are as follows:

[0026] (1) Scan the telescope with the set center point and record the serial number of each scanning position, the image miss distance data and the corresponding single-photon detector energy value in real time;

[0027] (2) Read the real-time recorded data using MATLAB software;

[0028] (3) Calculate the scan points D1, D2...D respectively. 100 The median off-target amount X in each group med1 X med2 …X med100 and Y med1 Y med2 Y med100 ;

[0029] (4) Calculate the scan points D1, D2...D respectively. 100 The maximum energy P of each group of single-photon detectors max1 P max2 …P max100 ;

[0030] (5) The median value of the miss distance for each group X med1 X med2 …X med100 and Y med1 Y med2 Y med100 Divide into 20 equal parts from smallest to largest to get X avg1 X avg2 …X avg20 and Y avg1 Y avg2 …Y avg20 And generate a grid matrix S;

[0031] (6) The X avg1 X avg2 …X avg20 Y avg1 Y avg2 …Y avg20 P max1 P max2 …P max100 The matrix Power is obtained from the matrix S using bilinear interpolation.

[0032] (7) Calculate the maximum value P in the Power matrix. max ;

[0033] (8) Calculate P max The corresponding miss distances X and Y are used as calibration point positions.

[0034] The method of this invention has high precision and strong adaptability, and can better improve energy receiving efficiency, reduce communication error rate, and provide better protection for quantum communication experiments.

[0035] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of the present invention. Contents not described in detail in this specification are prior art known to those skilled in the art.

Claims

1. A quantum communication calibration point determination method based on bilinear interpolation, characterized in that: The method comprises the following steps: (1) Scan the telescope with the set center point and record the serial number of each scanning position, the image miss distance data and the corresponding single-photon detector energy value in real time; (2) Read the real-time recorded data using MATLAB software; (3) Calculate the scanning points respectively , … Median of off-target amount in each group , … and , , ; (4) Calculate the scanning points respectively , … Maximum energy of each group of single-photon detectors , … ; (5) The median of the off-target amount for each group , … and , , Divide into 20 equal parts from smallest to largest. , … and , … And generate a grid matrix S; (6) The above , … , , … , , … The matrix Power is obtained from the grid matrix S using bilinear interpolation. (7) Calculate the maximum value in the Power matrix. ; (8) Calculation The corresponding miss distances X and Y are used as calibration point positions.

2. The quantum communication calibration point determination method based on bilinear interpolation according to claim 1, characterized in that: In step (5), the grid matrix S is a 20 x 20 two-dimensional matrix. The minimum value in the X direction among the missing target data in each group of images. The maximum value in the X direction among the miss distance data for each group of images; The minimum value in the Y direction among the missing target data in each group of images. This represents the maximum value in the Y direction among the miss distance data for each image group.

3. The quantum communication calibration point determination method based on bilinear interpolation according to claim 1, characterized in that: In step (6), for bilinear interpolation, the built-in MATLAB griddata() function is used.

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