Semantic quantum direct communication method and system
By combining semantic communication and quantum direct communication methods, using semantic knowledge base for encoding and decoding, the security of semantic communication and the bandwidth limitation of quantum direct communication are solved, and efficient and secure information transmission is achieved.
Patent Information
- Application Number
- CN202510521090.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-24
- Publication Date
- 2025-08-08
AI Technical Summary
The transmission channel of semantic communication faces the risk of being eavesdropped and deciphered. Traditional encryption processes cannot be directly applied, and the bandwidth of quantum direct communication is limited, which limits its application scenarios.
Combining the advantages of semantic communication and quantum direct communication, by determining the semantic knowledge base, semantic encoding, source encoding, channel encoding and quantum signal optical path modulation, the quantum state signal to be transmitted is generated, and sent through the quantum channel. The receiver uses the semantic knowledge base to perform quantum signal demodulation, channel decoding, source decoding and semantic decoding to recover information.
While ensuring the security of semantic communication, it achieves the increase in the amount of information of quantum direct communication, reduces redundant information transmission, and improves communication efficiency and security.
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Figure CN120454932A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of quantum direct communication technology, and in particular to a semantic quantum direct communication method and system. Background Art
[0002] Semantic communication is an emerging technology at the intersection of communications engineering and artificial intelligence. It aims to shift from the traditional "data transmission" model of communication to a "semantic delivery" model. While traditional communication systems transfer information through bit streams, semantic communication focuses on the semantic level of information, delivering only the information users truly need to improve communication efficiency. Its core goal is to reduce the amount of data transmitted while ensuring that the receiver can accurately understand the meaning and intent of the information, thereby achieving more efficient communication.
[0003] With the rapid development of 5G and future 6G networks, communications technology is evolving towards higher bandwidth, lower latency, and larger-scale device connectivity. However, faced with the challenge of explosive data growth, traditional communication methods are exponentially increasing their demands on bandwidth, energy, and computing resources. This is especially true in scenarios such as the Internet of Things, Industrial Internet, autonomous driving, and virtual reality (VR). The large amount of redundant data transmitted not only wastes network resources but also increases system complexity and communication costs.
[0004] Semantic communication aims to address these issues. Its key concept draws inspiration from the nature of human communication: humans communicate without transmitting redundant details, but rather efficiently convey valuable information through semantic understanding. Therefore, semantic communication can significantly reduce the transmission of redundant information, enabling more efficient and energy-efficient communication systems, particularly suitable for environments with limited bandwidth and computing resources.
[0005] Quantum communication generally refers to the technology of achieving secure communication by moving quantum states. Its security is guaranteed by the principles of quantum physics and is highly secure. With the rapid development of quantum computing, the security of classical cryptographic systems based on complex mathematical problems faces great challenges. Research on quantum communication has received widespread attention and has developed rapidly, becoming a relatively mature direction in the field of quantum information and will play an important role in the next generation of secure communication. Quantum communication technology is mainly divided into branches such as quantum key distribution, quantum direct communication, quantum secret sharing, and quantum teleportation. Quantum direct communication was proposed in 2000. It directly encodes information into quantum states and transmits it to achieve secure communication. It has a history of more than 20 years and has gone through four stages of development. (1) From 2000 to 2005, basic concepts and theories were established. During this stage, typical quantum direct communication protocols such as entanglement-based efficient protocols, entanglement-based two-step protocols, and single-photon-based DL04 protocols were proposed. (2) From 2006 to 2015, the stage of protocol development and application exploration was established. A large number of theoretical protocols were proposed, and the possible uses of quantum direct communication were widely explored. (3) From 2016 to 2019, the stage of experimental verification of principles and prototype development. During this stage, the entanglement-based quantum direct communication protocol and the single-photon quantum direct communication scheme were experimentally verified. In particular, researchers proposed technologies such as high-loss channel coding, quantum storage substitution, and quantitative security analysis, which solved many difficulties in the practical application of quantum direct communication and developed a quantum direct communication prototype with an information transmission rate of 50bps at a fiber optic communication distance of 1.5km. (4) From 2020 to the present, product development and practical application have been promoted. The typical performance of the communication prototype in this stage is 100km@5kbps, which can realize real-time and secure transmission of text, pictures, and voice files. Summary of the Invention
[0006] The inventors discovered that semantic communication transmission channels are at risk of eavesdropping and decryption, threatening information security. In semantic communication systems based on joint designs, traditional encryption processes are not retained, making it impossible to directly apply existing, proven encryption technologies such as AES and RSA. Quantum direct communication, while utilizing low-energy quantum states as information carriers for secure communication, has limited bandwidth, restricting its application scenarios.
[0007] In response to the problems faced by semantic communication and quantum direct communication, this application provides a semantic quantum direct communication solution that combines the respective advantages of semantic communication and quantum direct communication, while ensuring the security of semantic communication and increasing the amount of information transmitted by quantum direct communication.
[0008] According to a first aspect of the present application, a semantic quantum direct communication method is provided, which is applied to a sender and is characterized by comprising:
[0009] Determine the semantic knowledge base;
[0010] Based on the semantic knowledge base, the information source is subjected to semantic coding, source coding, channel coding and quantum signal optical path modulation to generate a quantum state signal to be transmitted; and
[0011] The quantum state signal to be transmitted is sent via a quantum channel.
[0012] According to a second aspect of the present application, a semantic quantum direct communication method is provided, which is applied to a receiving party and is characterized by comprising:
[0013] receiving a quantum state signal from a sender through a quantum channel;
[0014] Determine the semantic knowledge base; and
[0015] Based on the semantic knowledge base, the received quantum state signal undergoes quantum signal demodulation, channel decoding, source decoding and semantic decoding to restore the information transmitted by the sender.
[0016] According to a third aspect of the present application, a semantic quantum direct communication system is provided, characterized in that it includes:
[0017] The sender is used to generate a quantum state signal by subjecting the source to semantic coding, source coding, channel coding, and quantum signal optical path modulation based on the semantic knowledge base; and
[0018] The receiver is configured to recover the information transmitted by the sender by performing quantum signal demodulation, channel decoding, source decoding and semantic decoding on the quantum state signal based on the semantic knowledge base.
[0019] According to a fourth aspect of the present application, an electronic device is provided, including:
[0020] A processor and a memory. The memory stores computer instructions, and when the computer instructions are executed by the processor, the processor performs the method according to the first and second aspects.
[0021] According to a fifth aspect of the present application, a non-transitory computer storage medium is provided, storing a computer program. When the computer program is executed by multiple processors, the processors execute the methods described in the first and second aspects.
[0022] According to the semantic quantum direct communication method and system provided in this application, the transmission of redundant information is greatly reduced through semantic communication, achieving efficient information transmission. At the same time, secure communication is guaranteed through quantum direct communication, which increases the amount of information transmitted by quantum direct communication while ensuring the security of semantic communication. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without exceeding the scope of protection required by this application.
[0024] Figure 1 Schematic diagram of a semantic quantum direct communication system according to one embodiment of the present application.
[0025] Figure 2 It is a schematic diagram of a semantic quantum direct communication system according to another embodiment of the present application.
[0026] Figure 3 This is a flowchart of a semantic quantum direct communication method according to one embodiment of the present application.
[0027] Figure 4 This is a flowchart of a semantic quantum direct communication method according to another embodiment of the present application.
[0028] Figure 5 This is a structural diagram of an electronic device provided by this application. DETAILED DESCRIPTION
[0029] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts are within the scope of protection of this application.
[0030] Figure 1 Schematic diagram of a semantic quantum direct communication system according to an embodiment of the present application. Figure 1 The system includes a receiver and a sender, wherein the receiver and the sender can be any terminal or device, such as a smart phone, a tablet computer, a smart bracelet, a laptop computer, a smart home device, etc., and this application does not impose any restrictions on this.
[0031] Figure 1 It is a semantic quantum direct communication system based on separation design. Figure 1 In the illustrated implementation, the sender includes a semantic encoder, a source encoder, a quantum channel encoder, and a quantum state modulator, while the receiver includes a quantum state detector, a quantum channel decoder, a source decoder, and a semantic decoder. The steps for implementing semantic quantum direct communication between the sender and receiver are as follows.
[0032] (1) The sender uses a semantic encoder based on the semantic knowledge base to semantically encode the source m and outputs semantic information x, that is, x = f e (m), where f e (*) denotes a semantic encoder. The key to semantic extraction lies in using appropriate semantic models. These models can be based on artificial intelligence, particularly deep learning, to extract higher-level semantic information from source data. Semantic knowledge bases include general knowledge bases and domain knowledge bases, such as WordNet, Freebase, and Google Knowledge Graph.
[0033] (2) After the semantic information x is source-encoded, the source codeword y is obtained, i.e., y = E s (x), where E s (*) indicates a source coder. Common source coding methods include Huffman coding, arithmetic coding, wavelet transform coding, predictive coding, and so on.
[0034] (3) The source codeword y is channel-encoded into the codeword c to be transmitted, i.e., c = E c (y), where E c (*) indicates a quantum channel encoder. A quantum channel encoder is a forward error correction coding method tailored to the characteristics of quantum channel transmission. In some embodiments, the channel coding scheme may include low-density parity-check codes, polarization codes, and the like.
[0035] (4) The sender modulates the codeword c to be transmitted directly into a quantum state using a quantum state modulator based on a quantum direct communication protocol, and transmits the codeword c to the receiver via a quantum channel. In some embodiments, the quantum direct communication protocol includes a high-efficiency protocol, a two-step protocol, a DL04 protocol, a high-dimensional protocol, a one-way protocol, a continuous variable protocol, a measurement device-independent protocol, a device-independent protocol, and the like; in one embodiment, the quantum channel may include a fiber channel or a spatial channel.
[0036] (5) After receiving the quantum state signal, the receiver uses a quantum state detector to detect the quantum state of the quantum state signal and obtains the received codeword c′.
[0037] (6) The receiver inputs the received codeword c' into the quantum channel decoder D c (*) Get the source code word y, that is, y = D c (c'). Due to channel loss and noise, the received codeword c' may only receive a portion of the transmitted codeword c and often contains some bit errors. However, quantum channel coding can tolerate losses and errors, allowing the transmitted codeword to be transmitted securely and reliably from the sender to the receiver.
[0038] (7) The source codeword y passes through the source decoder D s(*) After decoding, semantic information x is obtained.
[0039] (8) The receiver decodes the semantic information based on the semantic knowledge base and semantic decoder, recovers the information, and inputs it into the destination. The process can be expressed as m = f d (x), where f d (*) represents a semantic decoder. The semantic knowledge base used by the receiver in the semantic decoding process is the same as the semantic knowledge base used by the sender in the semantic encoding process.
[0040] exist Figure 1 In the illustrated embodiment, in order to ensure that semantic communication can cope with ever-changing environments and demands and to ensure the timeliness, accuracy and relevance of information, both communicating parties share a semantic knowledge base, and the semantic knowledge base needs to be dynamically updated.
[0041] Figure 2 It is a schematic diagram of a semantic quantum direct communication system according to another embodiment of the present application. Figure 2 It is a semantic quantum direct communication system based on a joint design. Figure 2 In the illustrated implementation, the sender includes a semantic quantum direct communication transmitter, and the receiver includes a semantic quantum direct communication receiver. The steps for implementing semantic quantum direct communication between the sender and the receiver are as follows.
[0042] (1) The sender generates a quantum signal through a semantic quantum direct communication transmitter based on the semantic knowledge base and source information. In one embodiment, the semantic quantum direct communication transmitter can adopt a neural network integration method that includes a joint design of semantic coding, source coding, channel coding, and quantum signal optical path modulation. It drives the quantum signal optical path modulation to directly generate the quantum signal to be transmitted, allowing the semantic level information to be loaded into the quantum state for transmission.
[0043] In a specific embodiment, four steps can be selected for training a semantic knowledge base with a neural network: first, a pre-trained model (such as Bidirectional Encoder Representations from Transformers (BERT), Generative Pre-trained Transformer (GPT), or a knowledge graph embedding model) is trained using large-scale corpus or knowledge graph to learn general semantic representations; second, domain fine-tuning is performed through transfer learning and contrastive learning for specific application scenarios; third, the knowledge base is deployed in a vectorized or graph-structured form to support efficient retrieval and reasoning; finally, combined with communication error feedback, incremental learning or reinforcement learning mechanisms are used to dynamically optimize the knowledge base to achieve continuous updating and adaptation.
[0044] (2) The quantum signal is transmitted to the receiver via a quantum channel (such as an optical fiber channel or a space channel).
[0045] (3) After receiving the quantum signal, the receiver uses the semantic knowledge base and the semantic quantum direct communication receiver to recover the transmitted information and store it in the destination. The semantic quantum direct communication receiver structure corresponds to the transmitter and can adopt a neural network integration approach that includes quantum signal demodulation and the joint design of channel decoding, source decoding, and semantic decoding.
[0046] exist Figure 2 In the illustrated embodiment, in order to ensure that semantic communication can cope with ever-changing environments and needs and to ensure the timeliness, accuracy, and relevance of information, the semantic knowledge base shared by both communicating parties needs to be dynamically updated.
[0047] exist Figure 2 In the illustrated embodiment, when channel conditions change, the communication terminals of both communicating parties can retrain the neural network.
[0048] Based on the above system, according to one aspect of the present application, a semantic quantum direct communication method performed by the sender is provided. Figure 3 As shown, the method includes the following steps:
[0049] Step S301: Determine a semantic knowledge base.
[0050] In one specific embodiment, the semantic knowledge base includes a general knowledge base and a domain knowledge base, such as WordNet, Freebase, Google Knowledge Graph, etc. The sender and receiver share the same semantic knowledge base. The sender determines the semantic knowledge base to use and performs semantic encoding based on the semantic knowledge base. The receiver can then perform correct semantic decoding based on the same semantic knowledge base.
[0051] Step S302, based on the semantic knowledge base, subjecting the information source to semantic coding, information source coding, channel coding and quantum signal optical path modulation to generate a quantum state signal to be transmitted; and
[0052] Step S303: sending the quantum state signal to be transmitted via the quantum channel.
[0053] In one embodiment, the sender includes a semantic encoder, a source encoder, a quantum channel encoder, and a quantum state modulator. Based on a semantic knowledge base, the sender uses the semantic encoder to semantically encode the source information and output semantic information. The source encoder encodes the semantic information to produce a source codeword. The source codeword is then encoded into a codeword to be transmitted using the quantum channel encoder. The sender then modulates the codeword directly onto a quantum state using a quantum state modulator based on a quantum direct communication protocol, and transmits it to the receiver via the quantum channel.
[0054] In another embodiment, the sender includes a semantic quantum direct communication transmitter, which generates quantum signals based on a semantic knowledge base and source information. In one embodiment, the semantic quantum direct communication transmitter can utilize a neural network integration approach that combines semantic coding, source coding, channel coding, and quantum signal optical path modulation. This neural network drives the quantum signal optical path modulation to directly generate the quantum signal to be transmitted, enabling semantic-level information to be loaded onto quantum states for transmission.
[0055] In an optional embodiment, step S302 may include:
[0056] Performing semantic encoding on the information source based on the semantic knowledge base to determine semantic information;
[0057] performing source coding on the semantic information to determine a source codeword;
[0058] performing channel coding on the source codeword to determine a codeword to be transmitted; and
[0059] The codeword to be transmitted is modulated into a quantum state through the quantum signal optical path to generate the quantum state signal to be transmitted.
[0060] In an optional embodiment, step S302 may further include:
[0061] Based on the semantic knowledge base and the source information of the source, the quantum state signal to be transmitted is generated by a semantic quantum direct communication transmitter, wherein the semantic quantum direct communication transmitter adopts a neural network jointly designed with semantic coding-source coding-channel coding and quantum signal optical path modulation.
[0062] Based on the above system, according to another aspect of the present application, a semantic quantum direct communication method performed by a receiver is provided. Figure 4 As shown, the method includes the following steps:
[0063] Step S401, receiving a quantum state signal from a sender through a quantum channel;
[0064] Step S402, determining a semantic knowledge base; and
[0065] Step S403: Based on the semantic knowledge base, the received quantum state signal is subjected to quantum signal demodulation, channel decoding, source decoding and semantic decoding to restore the information transmitted by the sender.
[0066] In one embodiment, the receiver includes a quantum state detector, a quantum channel decoder, a source decoder, and a semantic decoder. After receiving the quantum state signal, the receiver uses the quantum state detector to detect the quantum state of the received quantum state signal to obtain a received codeword. The receiver inputs the received codeword into the quantum channel decoder to obtain a source codeword. The source decoder decodes the source codeword to obtain semantic information. The receiver then decodes the semantic information based on a semantic knowledge base and the semantic decoder, recovers the information, and inputs it into the destination. The receiver determines the semantic knowledge base to be used during the semantic decoding process, and the semantic knowledge base used is the same as the semantic knowledge base used by the sender during the semantic encoding process.
[0067] In another embodiment, the receiver includes a semantic quantum direct communication receiver. After receiving the quantum signal, the receiver uses a semantic knowledge base and the semantic quantum direct communication receiver to recover the transmitted information and store it in the destination. The semantic quantum direct communication receiver structure mirrors the transmitter and can employ a neural network integration approach that combines quantum signal demodulation with channel decoding, source decoding, and semantic decoding.
[0068] In one embodiment, in order to ensure that semantic communication can cope with ever-changing environments and needs and to ensure the timeliness, accuracy, and relevance of information, both communicating parties share a semantic knowledge base, and the semantic knowledge base needs to be dynamically updated.
[0069] According to the semantic quantum direct communication method and system provided in this application, the transmission of redundant information is greatly reduced through semantic communication, achieving efficient information transmission. At the same time, secure communication is guaranteed through quantum direct communication, which increases the amount of information transmitted by quantum direct communication while ensuring the security of semantic communication.
[0070] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0071] It should be noted that for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all optional embodiments, and the actions and modules involved are not necessarily required by this application.
[0072] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical connection or other forms.
[0073] See Figure 5 , Figure 5 An electronic device is provided, comprising a processor and a memory. The memory stores computer instructions or one or more programs. When the computer instructions or one or more programs are executed by the processor, the processor executes the computer instructions to achieve the following Figure 3 and Figure 4 The method and refinement scheme shown.
[0074] It should be understood that the above-described device embodiments are merely illustrative, and the devices disclosed herein may also be implemented in other ways. For example, the division of units / modules described in the above-described embodiments is merely a logical functional division, and actual implementations may employ alternative divisions. For example, multiple units, modules, or components may be combined or integrated into another system, or some features may be omitted or not implemented.
[0075] In addition, unless otherwise specified, the functional units / modules in the various embodiments of the present invention may be integrated into a single unit / module, each unit / module may exist physically separately, or two or more units / modules may be integrated together. The aforementioned integrated units / modules may be implemented in the form of hardware or software program modules.
[0076] If the integrated unit / module is implemented in hardware, the hardware may be a digital circuit, an analog circuit, or the like. The physical implementation of the hardware structure includes, but is not limited to, transistors, memristors, and the like. Unless otherwise specified, the processor or chip may be any appropriate hardware processor, such as a CPU, GPU, FPGA, DSP, and ASIC. Unless otherwise specified, the on-chip cache, off-chip memory, and storage may be any appropriate magnetic storage medium or magneto-optical storage medium, such as resistive random access memory (RRAM), dynamic random access memory (DRAM), static random access memory (SRAM), enhanced dynamic random access memory (EDRAM), high-bandwidth memory (HBM), hybrid memory cube (HMC), and the like.
[0077] If the integrated unit / module is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions for enabling a computer electronic device (which can be a personal computer, a server or a network electronic device, etc.) to perform all or part of the steps of the method described in each embodiment of the present disclosure. The aforementioned memory includes: various media that can store program codes, such as a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.
[0078] The embodiment of the present application further provides a computer-readable storage medium storing one or more computer programs, which, when executed by multiple processors, causes the processors to execute the following Figure 3 and Figure 4 The method and refinement scheme shown.
[0079] An embodiment of the present application further provides a computer program product, comprising a computer program, which enables the computer to execute the method of any of the above embodiments when the computer program is run on a computer.
[0080] References to features, advantages, or similar language throughout this specification do not imply that all features and advantages achievable with this solution are included or embodied in any single implementation thereof. Rather, language referring to features and advantages is understood to mean that a specific feature, advantage, or characteristic described in connection with an embodiment is included in at least one embodiment of this solution. Therefore, discussions of features, advantages, and similar language throughout this specification may, but do not necessarily, refer to the same embodiment.
[0081] Furthermore, the features, advantages, and characteristics of the present invention may be combined in any suitable manner in one or more embodiments. Based on the description herein, one of ordinary skill in the relevant art will recognize that the present invention may be practiced without one or more of the specific features or advantages of a particular embodiment. In other cases, additional features and advantages may be realized in a particular embodiment that is not presented in all embodiments of the present invention.
[0082] The embodiments of the present application are described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only intended to help understand the method and core ideas of the present application. At the same time, changes or modifications made by those skilled in the art based on the ideas of the present application, the specific implementation methods, and the scope of application of the present application, all fall within the scope of protection of the present application. In summary, the contents of this specification should not be construed as limiting the present application.
Claims
1. A semantic quantum direct communication method, applied to the sender, characterized in that: include: Determine the semantic knowledge base; Based on the semantic knowledge base, the information source is subjected to semantic coding, source coding, channel coding and quantum signal optical path modulation to generate a quantum state signal to be transmitted; as well as The quantum state signal to be transmitted is sent via a quantum channel.
2. The method according to claim 1, wherein The method of subjecting a signal source to semantic coding, source coding, channel coding, and quantum signal optical path modulation based on the semantic knowledge base to generate a quantum state signal to be transmitted includes: Performing semantic encoding on the information source based on the semantic knowledge base to determine semantic information; performing source coding on the semantic information to determine a source codeword; performing channel coding on the source codeword to determine a codeword to be transmitted; and The codeword to be transmitted is modulated into a quantum state through the quantum signal optical path to generate the quantum state signal to be transmitted.
3. The method according to claim 1, wherein The method of subjecting a signal source to semantic coding, source coding, channel coding, and quantum signal optical path modulation based on the semantic knowledge base to generate a quantum state signal to be transmitted includes: Based on the semantic knowledge base and the source information of the source, the quantum state signal to be transmitted is generated by a semantic quantum direct communication transmitter, wherein the semantic quantum direct communication transmitter adopts a neural network jointly designed with semantic coding-source coding-channel coding and quantum signal optical path modulation.
4. A semantic quantum direct communication method, applied to a receiver, characterized in that: include: receiving a quantum state signal from a sender through a quantum channel; Determine the semantic knowledge base; as well as Based on the semantic knowledge base, the received quantum state signal undergoes quantum signal demodulation, channel decoding, source decoding and semantic decoding to restore the information transmitted by the sender.
5. The method according to claim 4, wherein The method of performing quantum signal demodulation, channel decoding, source decoding, and semantic decoding on the received quantum state signal based on the semantic knowledge base to recover the information transmitted by the sender includes: Detecting the quantum state of the received quantum state signal to obtain a received codeword; performing channel decoding on the received codeword to determine a source codeword; performing source decoding on the source codeword to determine semantic information; and Based on the semantic knowledge base, the semantic information is semantically decoded to restore the information transmitted by the sender.
6. The method according to claim 4, wherein The method of performing quantum signal demodulation, channel decoding, source decoding, and semantic decoding on the received quantum state signal based on the semantic knowledge base to recover the information transmitted by the sender includes: Based on the semantic knowledge base and the received quantum state signal, the information transmitted by the sender is recovered through a semantic quantum direct communication receiver, wherein the semantic quantum direct communication receiver adopts a neural network including quantum signal demodulation and channel decoding-source decoding-semantic decoding joint design.
7. A semantic quantum direct communication system, characterized in that: include: The sender is used to generate a quantum state signal based on the semantic knowledge base by performing semantic coding, source coding, channel coding, and quantum signal optical path modulation on the source. as well as The receiver is configured to perform quantum signal demodulation, channel decoding, source decoding and semantic decoding on the quantum state signal based on the semantic knowledge base to recover the information transmitted by the sender.
8. The system according to claim 7, wherein: The sender includes: A semantic encoder, configured to perform semantic encoding on the information source based on the semantic knowledge base to determine semantic information; A source encoder, configured to perform source encoding on the semantic information to determine a source codeword; a quantum channel encoder, configured to perform channel coding on the source codeword to determine a codeword to be transmitted; and A quantum state modulator is used to modulate the codeword to be transmitted into a quantum state through the quantum signal optical path.
9. The system according to claim 8, wherein The recipients include: A quantum state detector is used to detect the quantum state of the received quantum state signal to obtain a received codeword; a quantum channel decoder, configured to perform channel decoding on the received codeword to determine a source codeword; a source decoder, configured to perform source decoding on the source codeword to determine semantic information; and A semantic decoder is used to perform semantic decoding on the semantic information based on the semantic knowledge base to restore the information transmitted by the sender.
10. The system according to claim 7, wherein: The sender includes: A semantic quantum direct communication transmitter is used to generate the quantum state signal, wherein the semantic quantum direct communication transmitter adopts a neural network jointly designed with semantic coding-source coding-channel coding and quantum signal optical path modulation.
11. The system according to claim 10, wherein: The recipients include: A semantic quantum direct communication receiver is used to recover information transmitted by the sender, wherein the semantic quantum direct communication receiver adopts a neural network that includes quantum signal demodulation and a joint design of channel decoding-source decoding-semantic decoding.