Microwave frequency conversion system based on quantum computing

Through the microwave frequency conversion system of quantum computing, the multi-beam microwave signal is processed using quantum Fourier transform and quantum superimposed states, solving the problems of high computing complexity and insufficient security in traditional methods, and achieving efficient and secure signal processing and encryption.

CN120415722AActive Publication Date: 2025-08-01成都中微达信科技有限公司
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Patent Information

Application Number
CN202510778227.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-11
Publication Date
2025-08-01
Estimated Expiration
2045-06-11

AI Technical Summary

Technical Problem

Traditional methods have high computational complexity and high storage requirements when processing high-dimensional sparse characteristics signals. Classical encryption methods cannot withstand the threat of quantum computing and are inefficient in processing multi-beam microwave signals.

Method used

The microwave frequency conversion system based on quantum computing is adopted to encode, compress, encrypt and frequency conversion multi-beam microwave signals through quantum Fourier transform, quantum compression, quantum encryption and frequency conversion units, and efficiently process them using quantum superposition states and parallelism.

Benefits of technology

Improve signal processing speed, reduce computing volume and storage requirements, provide higher security and processing efficiency, especially significantly improve performance when high-dimensional data and multitasking.

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Abstract

The invention discloses a microwave frequency conversion system based on quantum computing, and the system comprises a microwave collection unit which is used for collecting a multi-beam microwave signal, and carrying out the quantum state coding of the multi-beam microwave signal based on quantum Fourier transform, so as to obtain a quantum spectrum tensor space corresponding to the multi-beam microwave signal; the quantum encryption unit is used for performing quantum parallel processing of frequency spectrum components and encrypted information on the compressed quantum state data and the encrypted key stream based on a controlled phase revolving door so as to obtain encrypted quantum state data; and the frequency conversion unit is used for carrying out quantum bit coupling strength adjustment on the encrypted quantum state data based on a quantum control pulse sequence so as to obtain the multi-beam microwave signal subjected to frequency conversion. According to the invention, more efficient spectrum analysis and processing are realized through quantum Fourier transform, so that the signal processing speed is increased.
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Description

Technical Field

[0001] The present invention relates to the technical field of microwave frequency conversion, and in particular to a microwave frequency conversion system based on quantum computing. Background Art

[0002] Traditional methods may face greater data storage and computing pressure when processing signals with high-dimensional sparse characteristics. Classical algorithms require higher resolution and larger storage space during processing, and the processing complexity and storage requirements are high. Traditional methods usually rely on classical computers for signal processing, such as fast Fourier transform (FFT) and other algorithms. Although these methods are very mature, when large amounts of data need to be processed, the computational complexity is high, resulting in low signal processing efficiency. Traditional methods usually rely on classical encryption algorithms to protect signal transmission. However, in the processing of multi-beam microwave signals, classical encryption methods may not be able to cope with the threats posed by quantum computing and are vulnerable to encryption threats brought by quantum computing technology. Traditional methods usually use serial or limited parallel computing when processing multi-beam microwave signals, which may not be efficient enough for large-scale data and complex calculations. Summary of the Invention

[0003] The object of the present invention is to provide a microwave frequency conversion system based on quantum computing to solve the above problems.

[0004] The present invention is achieved through the following technical solutions: A microwave frequency conversion system based on quantum computing, comprising: A microwave acquisition unit, the microwave acquisition unit is used to acquire multi-beam microwave signals, and perform quantum state encoding on the multi-beam microwave signals based on quantum Fourier transform to obtain a quantum spectrum tensor space corresponding to the multi-beam microwave signals; A quantum compression unit, configured to project the quantum spectrum tensor space into a low-dimensional quantum state observation space based on the high-dimensional sparse characteristics of the multi-beam microwave signal to obtain compressed quantum state data containing a main component of the spectrum; a key generation unit, the key generation unit being configured to perform quantum encoding on the direction of arrival angle and polarization mode parameters of the multi-beam microwave signal to obtain a quantum random number corresponding to the multi-beam microwave signal, and to construct an independent quantum state of the multi-beam microwave signal based on the quantum random number and a quantum key distribution protocol to obtain a dynamically changing encryption key stream; a quantum encryption unit, configured to perform quantum parallel processing of spectral components and encryption information on the compressed quantum state data and the encryption key stream based on a controlled phase rotation gate to obtain encrypted quantum state data; A frequency conversion unit, which is used to adjust the qubit coupling strength of the encrypted quantum state data based on a quantum control pulse sequence to obtain the multi-beam microwave signal after frequency conversion.

[0005] Preferably, quantum state encoding is performed on the multi-beam microwave signal based on the quantum Fourier transform to obtain the quantum spectrum tensor space corresponding to the multi-beam microwave signal, including: Mapping the spectrum information of the multi-beam microwave signal to the state space of qubits to obtain a quantum state that can represent information of multiple frequency bands; Performing spectrum analysis on the quantum state based on the quantum Fourier transform and mapping the quantum state to a tensor space to obtain the quantum spectrum tensor space.

[0006] Preferably, projecting the quantum spectrum tensor space onto a low-dimensional quantum state observation space to obtain compressed quantum state data containing the main components of the spectrum, including: Extracting the main spectrum features of the multi-beam microwave signal based on the high-dimensional sparse characteristics of the multi-beam microwave signal and the quantum singular value decomposition algorithm; Constructing a qubit measurement basis matrix of the quantum spectrum tensor space based on the main spectrum features, and projecting the quantum spectrum tensor space onto a low-dimensional quantum state observation space based on the qubit measurement basis matrix to obtain compressed quantum state data containing the main components of the spectrum.

[0007] Preferably, the qubit measurement basis matrix is used to convert the main spectrum features of the multi-beam microwave signal into the state of qubits, so as to achieve the purpose of compressing the main spectrum features of the multi-beam microwave signal.

[0008] Preferably, quantum encoding is performed on the arrival direction angle and polarization mode parameters of the multi-beam microwave signal to obtain the quantum random number corresponding to the multi-beam microwave signal, including: Encoding the arrival direction angle and polarization mode parameters of the multi-beam microwave signal into the state of qubits based on quantum gates to obtain qubits with arrival direction angle and polarization mode parameters; Measuring the state of the qubits to obtain a measurement result. Since the state of the qubits itself has uncertainty, the measurement result will be random. Taking the measurement result as a random number to obtain the quantum random number corresponding to the multi-beam microwave signal.

[0009] Preferably, independent quantum state construction is performed on the multi-beam microwave signal based on the quantum random number and the quantum key distribution protocol to obtain a dynamically changing encrypted key stream, including: Generate an independent encryption key for each microwave beam corresponding to the multi-beam microwave signal based on the quantum key distribution protocol; Dynamically update and modify the encryption key based on the quantum random number to obtain the dynamically changing encryption key stream.

[0010] Preferably, dynamically updating and modifying the encryption key based on the quantum random number to obtain the dynamically changing encryption key stream includes: Within a preset time period, regenerate a new encryption key based on the quantum random number; Based on the quantum key distribution protocol, perform dynamic adjustment of error correction and information rearrangement on the new encryption key. As the new encryption key is continuously adjusted, the dynamically changing encryption key stream is obtained.

[0011] Preferably, perform quantum parallel processing of spectral components and encrypted information on the compressed quantum state data and the encryption key stream based on a controlled phase rotation gate to obtain encrypted quantum state data, including: Perform controlled phase rotation operations on multiple pieces of the compressed quantum state data simultaneously; After controlled phase rotation, perform frequency-domain coupling on the spectral components corresponding to multiple pieces of the compressed quantum state data and the frequency components of the encryption key stream to obtain the encrypted quantum state data.

[0012] Preferably, adjust the qubit coupling strength of the encrypted quantum state data based on a quantum control pulse sequence to obtain the multi-beam microwave signal with completed frequency conversion, including: Perform spectral shifting on the multi-beam microwave signal based on a preset target frequency band to obtain a spectral shifting target; Generate the quantum control pulse sequence based on the spectral shifting target, where the quantum control pulse sequence includes specific control instructions required for adjusting the qubit coupling strength; Based on the quantum control pulse sequence, adjust the qubit coupling strength of the encrypted quantum state data to obtain the multi-beam microwave signal that is converted from the original frequency band to the preset target frequency band, thereby obtaining the multi-beam microwave signal with completed frequency conversion.

[0013] Compared with the prior art, the present invention has the following advantages and beneficial effects: 1. The present invention performs quantum state encoding on the multi-beam microwave signal through quantum Fourier transform, and uses the quantum superposition state and quantum interference effect to achieve more efficient spectral analysis and processing, thereby improving the signal processing speed and solving the bottleneck of the traditional fast Fourier transform (FFT) in terms of dynamic range and resolution; 2. By virtue of the high-dimensional sparse characteristics of multi-beam microwave signals, the present invention projects the quantum spectrum tensor space onto a low-dimensional quantum state observation space, which helps to reduce the computational amount and storage requirements. This compression process can greatly reduce the complexity of data processing and break through the classical Nyquist sampling limit. 3. The present invention generates quantum random numbers by encoding the direction-of-arrival angle and polarization mode parameters of quantum waves, and constructs an encrypted key stream in combination with the quantum key distribution protocol. This method is more secure compared with traditional random number generation and key distribution methods. 4. Through quantum superposition and quantum parallelism, the present invention can better process complex signal analysis and encryption tasks. Especially in the case of high-dimensional data and multi-task processing, quantum computing can provide a significant performance improvement. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, form a part of this application, and do not constitute a limitation to the embodiments of the present invention. In the drawings: Figure 1 It is a schematic diagram of the system architecture of the overall system in an embodiment proposed by the present invention; The reference numerals represent: 1 - microwave acquisition unit, 2 - quantum compression unit, 3 - key generation unit, 4 - quantum encryption unit, 5 - frequency conversion unit. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] To make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in combination with embodiments and drawings. The illustrative embodiments and descriptions thereof of the present invention are only used to explain the present invention and do not constitute a limitation to the present invention. It should be noted that the present invention has been in the actual research and development and use stage.

[0016] Embodiment 1, as Figure 1 shown, a microwave frequency conversion system based on quantum computing proposed by the present invention includes: A microwave acquisition unit 1, which is used to acquire multi-beam microwave signals and perform quantum state encoding on the multi-beam microwave signals based on the quantum Fourier transform to obtain the quantum spectrum tensor space corresponding to the multi-beam microwave signals; A quantum compression unit 2, which is used to project the quantum spectrum tensor space onto a low-dimensional quantum state observation space based on the high-dimensional sparse characteristics of the multi-beam microwave signals to obtain compressed quantum state data containing the spectral principal components; The key generation unit 3 is used to perform quantum encoding on the direction-of-arrival angle and polarization mode parameters of the multi-beam microwave signal to obtain the quantum random number corresponding to the multi-beam microwave signal, and construct an independent quantum state for the multi-beam microwave signal based on the quantum random number and the quantum key distribution protocol to obtain a dynamically changing encrypted key stream; The quantum encryption unit 4 is used to perform quantum parallel processing of the spectral components and encrypted information on the compressed quantum state data and the encrypted key stream based on the controlled phase rotation gate to obtain the encrypted quantum state data; The frequency conversion unit 5 is used to adjust the qubit coupling strength of the encrypted quantum state data based on the quantum control pulse sequence to obtain the multi-beam microwave signal that has completed frequency conversion.

[0017] In the present invention, a multi-beam microwave signal refers to multiple microwave signals with different frequencies, phases, and amplitudes, which are commonly used to control the states of qubits in a quantum information processing system; the quantum Fourier transform is a quantum algorithm that transforms a quantum state from the time domain to the frequency domain, and it is a tool for processing periodic signals and spectrum analysis in quantum computing; quantum state encoding means that a multi-beam microwave signal encodes its spectrum information through the quantum Fourier transform, thereby forming a quantum state representing the signal in the quantum spectrum tensor space; the quantum spectrum tensor space is a high-dimensional quantum space formed after quantizing the frequency components of the multi-beam microwave signal. The tensor space contains all the spectrum components of the signal and the corresponding quantum state information, and can perform further quantum calculations and processing; the low-dimensional quantum state observation space means that due to the high-dimensional sparse characteristics of multi-beam microwave signals, the quantum spectrum tensor space can be compressed into a low-dimensional space through projection. The low-dimensional space retains the main spectrum components of the signal while reducing the complexity of processing and storage; quantum random numbers refer to quantum random numbers generated by quantum encoding based on the arrival direction angle and polarization mode parameters of multi-beam microwave signals. These random numbers have stronger security than classical random numbers and are commonly used in quantum key distribution; the quantum key distribution protocol refers to a key exchange protocol based on the principles of quantum mechanics. Through the no-cloning property of quantum states and the characteristics of quantum entanglement, secure key exchange can be achieved. Quantum random numbers are combined with the quantum key distribution protocol to generate a dynamically changing encryption key stream for encryption and decryption; the encryption key stream is a dynamic key sequence used to encrypt data. In quantum encryption, the encryption key stream generated through quantum random numbers and the quantum key distribution protocol can effectively prevent key leakage or being cracked; the controlled phase rotation gate refers to performing quantum parallel processing on the compressed quantum state data and the encryption key stream to encrypt the quantum state data; the adjustment of qubit coupling strength refers to adjusting the coupling between qubits through quantum control pulses. Adjusting the coupling strength can control the evolution process of the quantum state and thus achieve operations such as frequency conversion; frequency conversion refers to changing the spectrum of the quantum state by adjusting the coupling strength between qubits, enabling quantum information to be processed or transmitted within different frequency ranges. The frequency conversion of multi-beam microwave signals is achieved through the adjustment of qubit coupling strength and the control pulse sequence.

[0018] This embodiment includes: performing quantum state encoding on a multi-beam microwave signal based on the quantum Fourier transform to obtain the quantum spectrum tensor space corresponding to the multi-beam microwave signal, including: Mapping the spectrum information of the multi-beam microwave signal to the state space of qubits to obtain a quantum state that can represent information of multiple frequency bands; Performing spectrum analysis on the quantum state based on the quantum Fourier transform and mapping the quantum state to the tensor space to obtain the quantum spectrum tensor space.

[0019] In this embodiment, the quantum state is a mathematical object that describes the state of a quantum system (such as a quantum bit). It contains all the information of the system. The quantum state has some unique properties, such as superposition and entanglement, which enable quantum computing to provide advantages over classical computers in certain tasks.

[0020] In an optional embodiment, the quantum spectrum tensor space is projected into a low-dimensional quantum state observation space to obtain compressed quantum state data containing the main components of the spectrum, including: The main spectral features of multi-beam microwave signals are extracted based on the high-dimensional sparse characteristics of multi-beam microwave signals and the quantum singular value decomposition algorithm; Based on the main spectral features, the quantum bit measurement basis matrix of the quantum spectrum tensor space is constructed, and based on the quantum bit measurement basis matrix, the quantum spectrum tensor space is projected into the low-dimensional quantum state observation space to obtain compressed quantum state data containing the main components of the spectrum.

[0021] It should be noted that the quantum singular value decomposition algorithm refers to an algorithm that extracts the main spectral features from high-dimensional quantum state space and effectively reduces the computational complexity; compressed quantum state data refers to processing the quantum state through a quantum algorithm so as to retain only the most important information. The purpose of compression is to reduce the dimension of the data while retaining the key information in the signal as much as possible. In the process of spectral feature extraction, by compressing the high-dimensional quantum spectral tensor space, the amount of data can be effectively reduced while retaining the main components of the signal, which facilitates subsequent analysis and processing.

[0022] In an optional embodiment, the qubit measurement basis matrix is used to convert the main spectral characteristics of the multi-beam microwave signal into the state of the qubit, so as to achieve the purpose of compressing the main spectral characteristics of the multi-beam microwave signal.

[0023] It should be noted that the qubit measurement basis matrix is the basis matrix used to measure qubits in quantum computing. When measuring a qubit, a basis (such as a computational basis, a superposition basis, etc.) needs to be selected, and the state of the qubit will be projected onto this basis. The qubit measurement basis matrix defines the selection rules of these bases (such as the main spectral characteristics, etc.) and determines the changes in the quantum state during measurement.

[0024] In an optional embodiment, quantum encoding is performed on the direction of arrival angle and polarization mode parameters of the multi-beam microwave signal to obtain a quantum random number corresponding to the multi-beam microwave signal, including: Encoding the direction of arrival angle and polarization mode parameters of the multi-beam microwave signal into the state of the quantum bit based on the quantum gate to obtain the quantum bit with the direction of arrival angle and polarization mode parameters; Measure the state of the qubit to obtain a measurement result. Based on the uncertainty of the qubit state itself, the measurement result will be random. Use the measurement result as a random number to obtain the quantum random number corresponding to the multi-beam microwave signal.

[0025] It should be noted that a quantum gate refers to a basic operation in quantum computing. It is a mathematical operation that transforms a qubit from one state to another state, and it acts on the superposition state and entangled state of the qubit; the angle of arrival is the angle of the signal source relative to the receiving antenna, which is usually used to describe the direction of the signal. In a multi-beam system, the angle of arrival can be estimated by measuring the directions of multiple beams, and the angle of arrival is very important for positioning and tracking; the polarization mode refers to the oscillation mode of the microwave signal in space. Common polarization modes include horizontal polarization, vertical polarization, and circular polarization. Different polarization modes can be used to distinguish signals or transmit different information simultaneously in multi-channel communication; a qubit is the basic unit in quantum computing, which is opposite to the bit in classical computing. A qubit can be in a superposition state, that is, it exists simultaneously between the states of 0 and 1. This superposition and quantum entanglement make quantum computing more powerful than classical computing in some tasks; the measurement of a qubit is a key step in quantum computing. The measurement will cause the state of the qubit to collapse to a certain specific ground state. Due to the basic uncertainty principle of quantum mechanics, the measurement result is random and probabilistic.

[0026] In an alternative embodiment, an independent quantum state construction is performed on the multi-beam microwave signal based on the quantum random number and the quantum key distribution protocol to obtain a dynamically changing encrypted key stream, including: Generate an independent encryption key for each microwave beam corresponding to the multi-beam microwave signal based on the quantum key distribution protocol; Dynamically update and modify the encryption key based on the quantum random number to obtain a dynamically changing encrypted key stream.

[0027] In an alternative embodiment, the encryption key is dynamically updated and modified based on the quantum random number to obtain a dynamically changing encrypted key stream, including: Within a preset time period, regenerate a new encryption key based on the quantum random number; Perform dynamic adjustments of error correction and information rearrangement on the new encryption key based on the quantum key distribution protocol. As the new encryption key is continuously adjusted, a dynamically changing encrypted key stream is obtained.

[0028] In an alternative embodiment, quantum parallel processing of spectral components and encrypted information is performed on the compressed quantum state data and the encrypted key stream based on a controlled phase rotation gate to obtain encrypted quantum state data, including: Perform controlled phase rotation operations on multiple pieces of compressed quantum state data simultaneously; After the controlled phase rotation, the spectral components corresponding to multiple squeezed quantum state data are frequency-domain coupled with the frequency components of the encrypted key stream to obtain encrypted quantum state data.

[0029] It should be noted that the controlled phase rotation refers to a quantum operation that associates the phase rotation operation of a qubit with the state of another qubit (usually the control qubit). In this operation, the phase rotation is applied to the target qubit only when the control qubit is in a specific state. Through this operation, the phase of the quantum state can be modulated, and the phase information of the qubit can be adjusted. This is commonly used in quantum computing and quantum communication to implement quantum gate operations, especially in quantum key distribution and quantum encryption. The spectral component refers to the fact that in the frequency-domain representation of a signal, the signal can be decomposed into components of different frequencies, and each spectral component corresponds to a specific frequency, representing different characteristics of the signal; the frequency components of the encrypted key stream are generated through quantum random numbers, and the frequency components of the encrypted key stream can be coupled with the spectral components of the quantum state data to achieve quantum state encryption. Frequency-domain coupling refers to the interactive processing of different signals or quantum states in the frequency domain. In quantum communication, this coupling can combine the data components of the quantum state with the frequency components of the encrypted key stream, so that the encryption of the quantum state is closely related to the frequency characteristics of the key stream. Through this coupling, the encryption operation of the quantum state can be achieved, so that quantum information can be protected during the communication process.

[0030] In an optional embodiment, the qubit coupling strength of the encrypted quantum state data is adjusted based on a quantum control pulse sequence to obtain a multi-beam microwave signal that has completed frequency conversion, including: The spectral shift of the multi-beam microwave signal is performed based on a preset target frequency band to obtain a spectral shift target; A quantum control pulse sequence is generated based on the spectral shift target, where the quantum control pulse sequence includes specific control instructions required to adjust the qubit coupling strength; The qubit coupling strength of the encrypted quantum state data is adjusted based on the quantum control pulse sequence to obtain a multi-beam microwave signal that is converted from the original frequency band to the preset target frequency band, thereby obtaining a multi-beam microwave signal that has completed frequency conversion.

[0031] It should be noted that spectrum shifting refers to shifting the spectrum of a multi-beam microwave signal based on a preset target frequency band, with the aim of moving the frequency of the signal from the original frequency band to the target frequency band; a quantum control pulse sequence refers to a set of pulses used to control the state change of qubits. Quantum control pulses are used to precisely operate and adjust the state of qubits, and these pulses can adjust properties such as the phase and amplitude of qubits; qubit coupling strength is an important parameter in quantum computing, referring to the strength of the interaction between different qubits. By adjusting the qubit coupling strength, it is possible to directly affect the change of encrypted quantum state data, thereby precisely controlling the frequency conversion of multi-beam microwave signals.

[0032] The above specific implementation manners have further elaborated on the purpose, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only specific implementation manners of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A microwave frequency conversion system based on quantum computing, comprising, characterized in that: Collect multi-beam microwave signals, and perform quantum state encoding on the multi-beam microwave signals based on quantum Fourier transform to obtain a quantum spectrum tensor space corresponding to the multi-beam microwave signals; Based on the high-dimensional sparse characteristics of the multi-beam microwave signals, project the quantum spectrum tensor space onto a low-dimensional quantum state observation space to obtain compressed quantum state data containing spectral principal components; Perform quantum encoding on the direction-of-arrival angle and polarization mode parameters of the multi-beam microwave signals to obtain quantum random numbers corresponding to the multi-beam microwave signals, and perform independent quantum state construction on the multi-beam microwave signals based on the quantum random numbers and quantum key distribution protocol to obtain a dynamically changing encrypted key stream; Perform quantum parallel processing of spectral components and encrypted information on the compressed quantum state data and the encrypted key stream based on a controlled phase rotation gate to obtain encrypted quantum state data; Adjust the qubit coupling strength of the encrypted quantum state data based on a quantum control pulse sequence to obtain the multi-beam microwave signals that have completed frequency conversion.

2. The microwave frequency conversion system based on quantum computing according to claim 1, wherein: Performing quantum state encoding on the multi-beam microwave signals based on quantum Fourier transform to obtain a quantum spectrum tensor space corresponding to the multi-beam microwave signals, including: Map the spectral information of the multi-beam microwave signals to the state space of qubits to obtain a quantum state capable of characterizing information of multiple frequency bands; Perform spectral analysis on the quantum state based on the quantum Fourier transform, and map the quantum state to a tensor space to obtain the quantum spectrum tensor space.

3. A microwave frequency conversion system based on quantum computing according to claim 2, characterized in that: Projecting the quantum spectrum tensor space onto a low-dimensional quantum state observation space to obtain compressed quantum state data containing spectral principal components, including: Extract the main spectral features of the multi-beam microwave signals based on the high-dimensional sparse characteristics of the multi-beam microwave signals and the quantum singular value decomposition algorithm; Construct a qubit measurement basis matrix of the quantum spectrum tensor space based on the main spectral features, and project the quantum spectrum tensor space onto a low-dimensional quantum state observation space based on the qubit measurement basis matrix to obtain compressed quantum state data containing spectral principal components.

4. A microwave frequency conversion system based on quantum computing according to claim 3, characterized in that: The qubit measurement basis matrix is used to convert the main spectral features of the multi-beam microwave signals into the states of qubits, so as to achieve the purpose of compressing the main spectral features of the multi-beam microwave signals.

5. A microwave frequency conversion system based on quantum computing according to claim 4, characterized in that: Performing quantum encoding on the direction-of-arrival angle and polarization mode parameters of the multi-beam microwave signals to obtain quantum random numbers corresponding to the multi-beam microwave signals, including: Encode the direction-of-arrival angle and polarization mode parameters of the multi-beam microwave signals into the states of qubits based on quantum gates to obtain qubits with direction-of-arrival angle and polarization mode parameters; Measure the state of the qubit to obtain a measurement result. Since the state of the qubit itself has uncertainty, the measurement result will be random. Use the measurement result as a random number to obtain the quantum random numbers corresponding to the multi-beam microwave signals.

6. A microwave frequency conversion system based on quantum computing according to claim 5, characterized in that: Based on the quantum random number and the quantum key distribution protocol, an independent quantum state construction is performed on the multi-beam microwave signal to obtain a dynamically changing encrypted key stream, including: Generating an independent encrypted key for each microwave beam corresponding to the multi-beam microwave signal based on the quantum key distribution protocol; Dynamically updating and modifying the encrypted key based on the quantum random number to obtain the dynamically changing encrypted key stream.

7. A microwave frequency conversion system based on quantum computing according to claim 6, characterized in that: Dynamically updating and modifying the encrypted key based on the quantum random number to obtain the dynamically changing encrypted key stream, including: Within a preset time period, regenerating a new encrypted key based on the quantum random number; Based on the quantum key distribution protocol, performing dynamic adjustment of error correction and information rearrangement on the new encrypted key, and as the new encrypted key is continuously adjusted, thereby obtaining the dynamically changing encrypted key stream.

8. A microwave frequency conversion system based on quantum computing according to claim 7, characterized in that: Based on a controlled phase rotation gate, performing quantum parallel processing of spectral components and encrypted information on the compressed quantum state data and the encrypted key stream to obtain encrypted quantum state data, including: Performing a controlled phase rotation operation on multiple pieces of the compressed quantum state data simultaneously; After the controlled phase rotation, performing frequency-domain coupling on the spectral components corresponding to the multiple pieces of the compressed quantum state data and the frequency components of the encrypted key stream to obtain the encrypted quantum state data.

9. A microwave frequency conversion system based on quantum computing according to claim 8, characterized in that: Based on a quantum control pulse sequence, adjusting the quantum bit coupling strength of the encrypted quantum state data to obtain the multi-beam microwave signal with completed frequency conversion, including: Performing spectral shifting on the multi-beam microwave signal based on a preset target frequency band to obtain a spectral shifting target; Generating the quantum control pulse sequence based on the spectral shifting target, where the quantum control pulse sequence includes specific control instructions required for adjusting the quantum bit coupling strength; Based on the quantum control pulse sequence, adjusting the quantum bit coupling strength of the encrypted quantum state data to obtain the multi-beam microwave signal that is converted from the original frequency band to the preset target frequency band, thereby obtaining the multi-beam microwave signal with completed frequency conversion.

10. A microwave frequency conversion system based on quantum computing according to any one of claims 1 to 9, characterized in that: A microwave acquisition unit (1), where the microwave acquisition unit (1) is used to acquire a multi-beam microwave signal, and perform quantum state encoding on the multi-beam microwave signal based on quantum Fourier transform to obtain a quantum spectral tensor space corresponding to the multi-beam microwave signal; A quantum compression unit (2), where the quantum compression unit (2) is used to project the quantum spectral tensor space onto a low-dimensional quantum state observation space based on the high-dimensional sparse characteristics of the multi-beam microwave signal to obtain compressed quantum state data containing spectral principal components; A key generation unit (3), where the key generation unit (3) is used to perform quantum encoding on the direction-of-arrival angle and polarization mode parameters of the multi-beam microwave signal to obtain a quantum random number corresponding to the multi-beam microwave signal, and perform independent quantum state construction on the multi-beam microwave signal based on the quantum random number and the quantum key distribution protocol to obtain a dynamically changing encrypted key stream; A quantum encryption unit (4), which is configured to perform quantum parallel processing of spectral components and encrypted information on the compressed quantum state data and the encrypted key stream based on a controlled phase rotation gate to obtain encrypted quantum state data; A frequency conversion unit (5), which is configured to adjust the qubit coupling strength of the encrypted quantum state data based on a quantum control pulse sequence to obtain the multi-beam microwave signal after frequency conversion.

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