A microwave frequency conversion system based on quantum computing

Abstract

This invention discloses a microwave frequency conversion system based on quantum computing, comprising: a microwave acquisition unit for acquiring multi-beam microwave signals and performing quantum state encoding on the multi-beam microwave signals based on quantum Fourier transform to obtain the quantum spectral tensor space corresponding to the multi-beam microwave signals; a quantum encryption unit for performing quantum parallel processing of the compressed quantum state data and the encryption key stream based on controlled phase rotation gates to obtain encrypted quantum state data; and a frequency conversion unit for adjusting the qubit coupling strength of the encrypted quantum state data based on a quantum-controlled pulse sequence to obtain the multi-beam microwave signals after frequency conversion. This invention achieves more efficient spectral analysis and processing through quantum Fourier transform, thereby improving the speed of signal processing.

Description

Technical Field

[0001] This invention relates to the field of microwave frequency conversion technology, and in particular to a microwave frequency conversion system based on quantum computing. Background Technology

[0002] Traditional methods may face significant data storage and computational burdens when processing signals with high-dimensional sparse characteristics. Classical algorithms require high resolution and large storage space, resulting in high processing complexity and storage demands. Traditional methods typically rely on classical computers for signal processing, such as the Fast Fourier Transform (FFT). While these methods are very mature, their computational complexity is high when processing large amounts of data, leading to low signal processing efficiency. Traditional methods often 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, making them vulnerable to encryption threats from quantum computing technology. When processing multi-beam microwave signals, traditional methods typically employ serial or limited parallel computing, which may not be efficient enough for large-scale data and complex calculations. Summary of the Invention

[0003] The purpose of this invention is to provide a microwave frequency conversion system based on quantum computing to solve the above-mentioned problems.

[0004] This invention is achieved through the following technical solution:

[0005] A quantum computing-based microwave frequency conversion system includes:

[0006] A 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 the quantum spectrum tensor space corresponding to the multi-beam microwave signals.

[0007] A quantum compression unit is used to project the quantum spectrum tensor space onto a low-dimensional quantum state observation space based on the high-dimensional sparsity characteristics of the multi-beam microwave signal, so as to obtain compressed quantum state data containing the principal components of the spectrum.

[0008] A key generation unit is used to quantum encode 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. Based on the quantum random number and a quantum key distribution protocol, the multi-beam microwave signal is used to construct independent quantum states to obtain a dynamically changing encryption key stream.

[0009] A quantum encryption unit is used 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, so as to obtain encrypted quantum state data;

[0010] A frequency conversion unit is used to adjust the quantum bit 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.

[0011] Preferably, the multi-beam microwave signal is quantum-state encoded based on quantum Fourier transform to obtain the quantum spectral tensor space corresponding to the multi-beam microwave signal, including:

[0012] The spectral information of the multi-beam microwave signal is mapped to the state space of the qubit to obtain a quantum state that can characterize information of multiple frequency bands;

[0013] Based on the quantum Fourier transform, the quantum state is subjected to spectral analysis, and the quantum state is mapped to a tensor space to obtain the quantum spectral tensor space.

[0014] Preferably, the quantum spectral tensor space is projected onto a low-dimensional quantum state observation space to obtain compressed quantum state data containing principal components of the spectrum, including:

[0015] The main spectral features of the multi-beam microwave signal are extracted based on the high-dimensional sparsity characteristics of the multi-beam microwave signal and the quantum singular value decomposition algorithm.

[0016] Based on the main spectral features, a qubit measurement basis matrix is ​​constructed for the quantum spectral tensor space. Based on the qubit measurement basis matrix, the quantum spectral tensor space is projected onto a low-dimensional quantum state observation space to obtain compressed quantum state data containing principal spectral components.

[0017] Preferably, 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 compress the main spectral characteristics of the multi-beam microwave signal.

[0018] Preferably, the direction-of-arrival angle and polarization mode parameters of the multi-beam microwave signal are quantum encoded to obtain quantum random numbers corresponding to the multi-beam microwave signal, including:

[0019] The direction of arrival (DOA) and polarization mode parameters of the multi-beam microwave signal are encoded into the state of the qubit based on quantum gates to obtain a qubit with DOA and polarization mode parameters.

[0020] The state of the qubit is measured to obtain a measurement result. Since the state of the qubit itself is uncertain, the measurement result will be random. The measurement result is used as a random number to obtain the quantum random number corresponding to the multi-beam microwave signal.

[0021] Preferably, the multi-beam microwave signal is used to construct independent quantum states based on the quantum random number and quantum key distribution protocol to obtain a dynamically changing encryption key stream, including:

[0022] Based on the quantum key distribution protocol, an independent encryption key is generated for each microwave beam corresponding to the multi-beam microwave signal;

[0023] The encryption key is dynamically updated and modified based on the quantum random number to obtain the dynamically changing encryption key stream.

[0024] Preferably, the encryption key is dynamically updated and modified based on the quantum random number to obtain the dynamically changing encryption key stream, including:

[0025] Within a preset time period, a new encryption key is regenerated based on the quantum random number;

[0026] The new encryption key is dynamically adjusted by error correction and information rearrangement based on the quantum key distribution protocol. As the new encryption key is continuously adjusted, the dynamically changing encryption key stream is obtained.

[0027] Preferably, the compressed quantum state data and the encrypted key stream are subjected to quantum parallel processing of spectral components and encrypted information based on a controlled phase rotation gate to obtain encrypted quantum state data, including:

[0028] Simultaneously perform controlled phase rotation operations on multiple compressed quantum state data;

[0029] After controlled phase rotation, the spectral components corresponding to the multiple compressed quantum state data are frequency-domain coupled with the frequency components of the encryption key stream to obtain the encrypted quantum state data.

[0030] Preferably, adjusting 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 includes:

[0031] The multi-beam microwave signal is spectrum shifted based on a preset target frequency band to obtain the spectrum shift target;

[0032] The quantum control pulse sequence is generated based on the spectrum shifting target, wherein the quantum control pulse sequence includes specific control instructions required to adjust the coupling strength of the qubits;

[0033] The quantum bit coupling strength of the encrypted quantum state data is adjusted based on the quantum control pulse sequence to obtain the multi-beam microwave signal converted from the original frequency band to the preset target frequency band, thereby obtaining the multi-beam microwave signal that has completed the frequency conversion.

[0034] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0035] 1. This invention uses quantum Fourier transform to encode multi-beam microwave signals into quantum states, and utilizes quantum superposition and quantum interference effects to achieve more efficient spectrum analysis and processing, thereby improving the speed of signal processing and solving the bottlenecks of traditional fast Fourier transform (FFT) in terms of dynamic range and resolution.

[0036] 2. This invention projects the quantum spectrum tensor space onto the low-dimensional quantum state observation space by leveraging the high-dimensional sparsity of multi-beam microwave signals, which helps reduce computational load and storage requirements. This compression process can significantly reduce the complexity of data processing and overcome the classical Nyquist sampling limitation.

[0037] 3. This invention generates quantum random numbers by quantum encoding the direction of arrival angle and polarization mode parameters, and constructs an encrypted key stream by combining it with a quantum key distribution protocol. This method is more secure than traditional random number generation and key distribution methods.

[0038] 4. This invention, through quantum superposition and quantum parallelism, can better handle complex signal analysis and encryption tasks. In particular, quantum computing can provide significant performance improvements when dealing with high-dimensional data and multi-task processing. Attached Figure Description

[0039] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0040] Figure 1 This is a schematic diagram of the overall system architecture in one embodiment of the present invention;

[0041] The reference numerals in the attached figures represent: 1-microwave acquisition unit, 2-quantum compression unit, 3-key generation unit, 4-quantum encryption unit, and 5-frequency conversion unit. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments and accompanying drawings. The illustrative embodiments and descriptions of this invention are for illustrative purposes only and are not intended to limit the invention. It should be noted that this invention is already in the actual research and development stage.

[0043] Example 1, such as Figure 1 As shown, the present invention proposes a microwave frequency conversion system based on quantum computing, comprising:

[0044] Microwave acquisition unit 1 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 the quantum spectrum tensor space corresponding to the multi-beam microwave signals.

[0045] Quantum compression unit 2 is used to project the quantum spectrum tensor space onto the low-dimensional quantum state observation space based on the high-dimensional sparsity characteristics of multi-beam microwave signals, so as to obtain compressed quantum state data containing the principal components of the spectrum.

[0046] Key generation unit 3 is used to quantum encode 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. Based on the quantum random number and quantum key distribution protocol, the multi-beam microwave signal is used to construct independent quantum states to obtain a dynamically changing encryption key stream.

[0047] Quantum encryption unit 4 is used to perform quantum parallel processing of spectral components and encrypted information on compressed quantum state data and encryption key stream based on controlled phase rotation gate to obtain encrypted quantum state data;

[0048] Frequency conversion unit 5 is used to adjust the quantum bit coupling strength of encrypted quantum state data based on quantum control pulse sequence in order to obtain a multi-beam microwave signal with completed frequency conversion.

[0049] In this invention, multi-beam microwave signals refer to multiple microwave signals with different frequencies, phases, and amplitudes, which are commonly used in quantum information processing systems to control the state of qubits. Quantum Fourier transform is a quantum algorithm that converts quantum states from the time domain to the frequency domain; it is a tool for processing periodic signals and performing spectral analysis in quantum computing. Quantum state encoding refers to encoding the spectral information of the multi-beam microwave signal through quantum Fourier transform, thereby forming a quantum state representing the signal in the quantum spectral tensor space. The quantum spectral tensor space is a high-dimensional quantum space formed by quantizing the frequency components of the multi-beam microwave signal. The tensor space contains all spectral components of the signal and the corresponding quantum state information, enabling further quantum computing and processing. The low-dimensional quantum state observation space refers to the fact that multi-beam microwave signals typically have high-dimensional sparsity; by projection, the quantum spectral tensor space can be compressed into a low-dimensional space. The low-dimensional space retains the main spectral components of the signal while reducing the complexity of processing and storage. Quantum random numbers refer to quantum random numbers generated based on the direction-of-arrival angle and polarization mode parameters of the multi-beam microwave signal through quantum encoding. These random numbers possess… Quantum key distribution (QKD) offers stronger security than classical random numbers and is commonly used in quantum key distribution. A QKD protocol is a key exchange protocol based on quantum mechanics principles. Leveraging the non-cloning and quantum entanglement properties of quantum states, secure key exchange is achieved. Combining quantum random numbers with QKD protocols generates dynamically changing encrypted keystreams for encryption and decryption. An encrypted keystream is a dynamic key sequence used to encrypt data. In quantum encryption, the encrypted keystream generated by quantum random numbers and QKD protocols effectively prevents key leakage or cracking. Controlled phase rotation gates involve quantum parallel processing of compressed quantum state data and encrypted keystreams to encrypt the quantum state data. Quantum bit coupling strength adjustment refers to regulating the coupling between qubits using quantum control pulses. Adjusting the coupling strength controls the evolution of quantum states, enabling operations such as frequency conversion. Frequency conversion involves changing the spectrum of quantum states by adjusting the coupling strength between qubits, allowing quantum information to be processed or transmitted within different frequency ranges. Frequency conversion of multi-beam microwave signals is achieved through qubit coupling strength adjustment and control pulse sequences.

[0050] This embodiment includes: performing quantum state encoding on multi-beam microwave signals based on quantum Fourier transform to obtain the quantum spectral tensor space corresponding to the multi-beam microwave signals, including:

[0051] The spectral information of multi-beam microwave signals is mapped to the state space of qubits to obtain quantum states that can characterize information in multiple frequency bands;

[0052] Based on the quantum Fourier transform, the quantum state is analyzed by spectrum and mapped to tensor space to obtain the quantum spectrum tensor space.

[0053] In this embodiment, a quantum state is a mathematical object that describes the state of a quantum system (such as a qubit). It contains all the information of the system. Quantum states have some unique properties, such as superposition and entanglement, which enable quantum computing to provide advantages over classical computers in certain tasks.

[0054] In an optional embodiment, the quantum spectral tensor space is projected onto a low-dimensional quantum state observation space to obtain compressed quantum state data containing principal components of the spectrum, including:

[0055] The main spectral features of multi-beam microwave signals are extracted based on the high-dimensional sparsity characteristics of multi-beam microwave signals and the quantum singular value decomposition algorithm.

[0056] Based on the main spectral features, a quantum bit measurement basis matrix is ​​constructed in the quantum spectral tensor space. Based on the quantum bit measurement basis matrix, the quantum spectral tensor space is projected onto the low-dimensional quantum state observation space to obtain compressed quantum state data containing the principal components of the spectrum.

[0057] It should be noted that quantum singular value decomposition (SVD) refers to an algorithm that extracts the main spectral features from a high-dimensional quantum state space and effectively reduces computational complexity; compressed quantum state data refers to processing quantum states using quantum algorithms to retain only the most important information. The purpose of compression is to reduce the dimensionality of the data while preserving as much key information in the signal as possible. In the process of spectral feature extraction, compressing the high-dimensional quantum spectral tensor space can effectively reduce the amount of data while preserving the main components of the signal, facilitating subsequent analysis and processing.

[0058] In an optional embodiment, the qubit measurement basis matrix is ​​used to convert the main spectral features of the multi-beam microwave signal into the state of the qubit, thereby compressing the main spectral features of the multi-beam microwave signal.

[0059] 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, superposition basis, etc.) needs to be selected. The state of the qubit will be projected onto this basis. The qubit measurement basis matrix defines the selection rules of these basis (such as the main spectral characteristics, etc.) and determines the change of the quantum state during measurement.

[0060] In an optional embodiment, the direction-of-arrival angle and polarization mode parameters of the multi-beam microwave signal are quantum-encoded to obtain quantum random numbers corresponding to the multi-beam microwave signal, including:

[0061] Based on quantum gates, the direction of arrival (DOA) and polarization mode parameters of multi-beam microwave signals are encoded into the state of qubits to obtain qubits with DOA and polarization mode parameters.

[0062] The state of a qubit is measured to obtain the measurement result. Since the state of a qubit itself is uncertain, the measurement result will be random. The measurement result is used as a random number to obtain the quantum random number corresponding to the multi-beam microwave signal.

[0063] It's important to note that a quantum gate is a fundamental operation in quantum computing, a mathematical operation that transforms a qubit from one state to another. It operates on the superposition and entanglement states of qubits. The direction of arrival (AOA) is the angle of a signal source relative to a receiving antenna, typically used to describe the direction of a signal. In multi-beam systems, the AOA can be estimated by measuring the directions of multiple beams, and it is crucial for localization and tracking. A polarization mode refers to the oscillation pattern of a microwave signal in space. Common polarization modes include horizontal, vertical, and circular polarization. Different polarization modes can be used to distinguish signals or to transmit different information simultaneously in multi-channel communication. A qubit is the basic unit in quantum computing, as opposed to a bit in classical computing. A qubit can exist in a superposition state, that is, simultaneously between the states of 0 and 1. This superposition and quantum entanglement make quantum computing more powerful than classical computing for certain tasks. Measuring a qubit is a crucial step in quantum computing. Measurement causes the qubit's state to collapse to a specific ground state. Due to the fundamental uncertainty principle of quantum mechanics, the measurement result is random and probabilistic.

[0064] In an optional embodiment, independent quantum state construction is performed on the multi-beam microwave signal based on quantum random numbers and a quantum key distribution protocol to obtain a dynamically changing encryption key stream, including:

[0065] Based on the quantum key distribution protocol, an independent encryption key is generated for each microwave beam corresponding to the multi-beam microwave signal;

[0066] The encryption key is dynamically updated and modified based on quantum random numbers to obtain a dynamically changing encryption key stream.

[0067] In an optional embodiment, the encryption key is dynamically updated and modified based on quantum random numbers to obtain a dynamically changing encryption key stream, including:

[0068] Within a preset time period, a new encryption key is regenerated based on quantum random numbers;

[0069] Based on the quantum key distribution protocol, the new encryption key is dynamically adjusted for error correction and information rearrangement. As the new encryption key is continuously adjusted, a dynamically changing encryption key stream is obtained.

[0070] In an optional embodiment, compressed quantum state data and encrypted key stream are subjected to quantum parallel processing of spectral components and encrypted information based on controlled phase rotation gates to obtain encrypted quantum state data, including:

[0071] Simultaneous controlled phase rotation operation on multiple compressed quantum state data;

[0072] After controlled phase rotation, the spectral components corresponding to multiple compressed quantum state data are coupled in the frequency domain with the frequency components of the encryption key stream to obtain encrypted quantum state data.

[0073] It's important to note that controlled phase rotation is a quantum operation that associates the phase rotation of one 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. This operation allows for phase modulation of the quantum state, adjusting the phase information of the qubit. This is commonly used in quantum computing and quantum communication to implement quantum gate operations, especially in quantum key distribution and quantum encryption. Spectral components refer to the components of a signal in the frequency domain, which can be decomposed into different frequencies. Each spectral component corresponds to a specific frequency, representing different characteristics of the signal. The frequency components of the encryption keystream are generated using quantum random numbers. These frequency components 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 combines the data components of the quantum state with the frequency components of the encryption keystream, thus closely linking the encryption of the quantum state with the frequency characteristics of the keystream. Through this coupling, quantum state encryption can be achieved, protecting quantum information during communication.

[0074] In an optional embodiment, the quantum bit 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 undergone frequency conversion, including:

[0075] The spectrum shift of a multi-beam microwave signal is performed based on a preset target frequency band to obtain the spectrum shift target.

[0076] A quantum control pulse sequence is generated based on a spectrum shifting target, wherein the quantum control pulse sequence includes specific control instructions required to adjust the coupling strength of the qubits;

[0077] The quantum bit coupling strength of encrypted quantum state data is adjusted based on quantum control pulse sequences 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.

[0078] It should be noted that spectrum shifting refers to shifting the frequency of a multi-beam microwave signal based on a preset target frequency band, with the aim of moving the signal frequency from the original frequency band to the target frequency band; quantum control pulse sequence refers to a set of pulses used to control the state changes of qubits. Quantum control pulses are used to precisely manipulate and adjust the state of qubits, and these pulses can adjust the phase, amplitude, and other properties 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, the changes in encrypted quantum state data can be directly affected, thereby precisely controlling the frequency conversion of multi-beam microwave signals.

[0079] The above specific embodiments further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A microwave frequency conversion system based on quantum computing, comprising, characterized in that: Multi-beam microwave signals are acquired, and quantum state encoding of the multi-beam microwave signals is performed based on quantum Fourier transform to obtain the quantum spectrum tensor space corresponding to the multi-beam microwave signals; Based on the high-dimensional sparseness of the multi-beam microwave signal, the quantum spectrum tensor space is projected onto the low-dimensional quantum state observation space to obtain compressed quantum state data containing the principal components of the spectrum. The direction of arrival angle and polarization mode parameters of the multi-beam microwave signal are quantum encoded to obtain the quantum random number corresponding to the multi-beam microwave signal. Based on the quantum random number and the quantum key distribution protocol, the multi-beam microwave signal is independently quantum state constructed to obtain a dynamically changing encryption key stream. Based on the controlled phase rotation gate, the compressed quantum state data and the encrypted key stream are subjected to quantum parallel processing of spectral components and encrypted information to obtain encrypted quantum state data; The quantum bit coupling strength of the encrypted quantum state data is adjusted based on the quantum control pulse sequence to obtain the multi-beam microwave signal that has completed frequency conversion.

2. The microwave frequency conversion system based on quantum computing according to claim 1, characterized in that: The multi-beam microwave signal is quantum-state encoded based on quantum Fourier transform to obtain the quantum spectrum tensor space corresponding to the multi-beam microwave signal, including: The spectral information of the multi-beam microwave signal is mapped to the state space of the qubit to obtain a quantum state that can characterize information of multiple frequency bands; Based on the quantum Fourier transform, the quantum state is subjected to spectral analysis, and the quantum state is mapped to a tensor space to obtain the quantum spectral tensor space.

3. The 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 principal components of the spectrum includes: The main spectral features of the multi-beam microwave signal are extracted based on the high-dimensional sparsity characteristics of the multi-beam microwave signal and the quantum singular value decomposition algorithm. Based on the main spectral features, a qubit measurement basis matrix is ​​constructed for the quantum spectral tensor space. Based on the qubit measurement basis matrix, the quantum spectral tensor space is projected onto a low-dimensional quantum state observation space to obtain compressed quantum state data containing principal spectral components.

4. The 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 characteristics of the multi-beam microwave signal into the state of the qubit, so as to compress the main spectral characteristics of the multi-beam microwave signal.

5. A microwave frequency conversion system based on quantum computing according to claim 4, characterized in that: The direction-of-arrival angle and polarization mode parameters of the multi-beam microwave signal are quantum-encoded to obtain quantum random numbers corresponding to the multi-beam microwave signal, including: The direction of arrival (DOA) and polarization mode parameters of the multi-beam microwave signal are encoded into the state of the qubit based on quantum gates to obtain a qubit with DOA and polarization mode parameters. The state of the qubit is measured to obtain a measurement result. Since the state of the qubit itself is uncertain, the measurement result will be random. The measurement result is used as a random number to obtain the quantum random number corresponding to the multi-beam microwave signal.

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

7. A microwave frequency conversion system based on quantum computing according to claim 6, characterized in that: The encryption key is dynamically updated and modified based on the quantum random number to obtain the dynamically changing encryption key stream, including: Within a preset time period, a new encryption key is regenerated based on the quantum random number; The new encryption key is dynamically adjusted by error correction and information rearrangement based on the quantum key distribution protocol. As the new encryption key is continuously adjusted, the dynamically changing encryption key stream is obtained.

8. A microwave frequency conversion system based on quantum computing according to claim 7, characterized in that: Based on controlled phase rotation gates, the compressed quantum state data and the encrypted key stream undergo quantum parallel processing of spectral components and encrypted information to obtain encrypted quantum state data, including: Simultaneously perform controlled phase rotation operations on multiple compressed quantum state data; After controlled phase rotation, the spectral components corresponding to the multiple compressed quantum state data are frequency-domain coupled with the frequency components of the encryption 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: The quantum bit coupling strength of the encrypted quantum state data is adjusted based on a quantum control pulse sequence to obtain the multi-beam microwave signal with completed frequency conversion, including: The multi-beam microwave signal is spectrum shifted based on a preset target frequency band to obtain the spectrum shift target; The quantum control pulse sequence is generated based on the spectrum shifting target, wherein the quantum control pulse sequence includes specific control instructions required to adjust the coupling strength of the qubits; The quantum bit coupling strength of the encrypted quantum state data is adjusted based on the quantum control pulse sequence to obtain the multi-beam microwave signal converted from the original frequency band to the preset target frequency band, thereby obtaining the multi-beam microwave signal that has completed the frequency conversion.

10. A microwave frequency conversion system based on quantum computing according to any one of claims 1 to 9, characterized in that: Microwave acquisition unit (1) 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 the quantum spectrum tensor space corresponding to the multi-beam microwave signals. Quantum compression unit (2), the quantum compression unit (2) is used to project the quantum spectrum tensor space to a low-dimensional quantum state observation space based on the high-dimensional sparsity characteristics of the multi-beam microwave signal, so as to obtain compressed quantum state data containing the principal components of the spectrum; 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. Based on the quantum random number and the quantum key distribution protocol, the multi-beam microwave signal is used to construct an independent quantum state to obtain a dynamically changing encryption key stream. A quantum encryption unit (4) is used to perform quantum parallel processing of the compressed quantum state data and the encryption key stream based on a controlled phase rotation gate to obtain encrypted quantum state data; Frequency conversion unit (5) is used to adjust the quantum bit coupling strength of the encrypted quantum state data based on the quantum control pulse sequence to obtain the multi-beam microwave signal with completed frequency conversion.

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