Target entity detection method and device, electronic equipment and storage medium

Abstract

The invention provides a target entity detection method and device, electronic equipment and a storage medium, and relates to the technical field of target detection. In the application, a first signal is generated based on a stimulated emission frequency of a target entity, and the first signal is sent to a target area; wherein the stimulated emission frequency belongs to a preset radio wave frequency range, and the first signal is used for detecting whether a target entity exists in the target area; receiving a second signal from the target area, and performing quantum state feature extraction on the second signal to obtain a feature extraction result of the second signal; if the feature extraction result comprises the quantum state identifier of the target entity and the second signal is determined not to be the first signal based on the feature extraction result, determining that the target entity exists in the target area; wherein the quantum state identifier is related to the stimulated emission frequency. Therefore, the detection accuracy of the target entity is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of target detection, and in particular to a target entity detection method and device, electronic equipment and a storage medium. BACKGROUND

[0002] Traditional radio frequency signal detection methods (such as inductive coupling antennas, microwave mixers, phase lock amplifiers, etc.) have certain limitations in sensitivity, dynamic range, or frequency response, etc. In particular, in the detection of weak signals in the low frequency band, thermal noise can greatly affect the signal detection result. At the same time, the current widely used electromagnetic detection methods, such as metal detectors, ground penetrating radar, etc., also have difficulty in penetrating complex environments to obtain effective echo signals. In view of this, how to improve the accuracy of signal detection is a problem that needs to be solved at present. SUMMARY

[0003] The embodiments of the present application provide a target entity detection method and device, electronic equipment and a storage medium to improve the detection accuracy of target entities.

[0004] In a first aspect, the embodiments of the present application provide a target entity detection method, which comprises: generating a first signal based on a stimulated emission frequency of a target entity, and sending the first signal to a target area; wherein the stimulated emission frequency belongs to a preset radio wave frequency range, and the first signal is used to detect whether there is a target entity in the target area; receiving a second signal from the target area, and performing quantum state feature extraction on the second signal to obtain a feature extraction result of the second signal; if the feature extraction result includes a quantum state identifier of the target entity, and it is determined based on the feature extraction result that the second signal is not the first signal, it is determined that there is a target entity in the target area; wherein the quantum state identifier is related to the stimulated emission frequency.

[0005] In an optional implementation, before generating the first signal based on the stimulated emission frequency of the target entity, the method further comprises: for a plurality of entities, the following operations are performed respectively: determining the stimulated emission frequencies corresponding to the plurality of entities respectively; wherein the stimulated emission frequencies of different entities are different; setting quantum state identifiers for the plurality of entities based on the plurality of stimulated emission frequencies.

[0006] In an optional implementation, generating the first signal based on the stimulated emission frequency of the target entity comprises: generating an initial signal based on the stimulated emission frequency; the initial signal is used to stimulate the target entity to undergo atomic energy level transition, so that the target entity generates a stimulated emission signal; The initial signal is signal-modulated based on the region position information of the target region to generate a first signal.

[0007] In an optional implementation, the initial signal is signal-modulated based on the region position information of the target region to generate a first signal, including: Based on the region position information, a signal amplification multiple and a baseband signal frequency corresponding to the initial signal are determined. The initial signal is frequency-modulated based on the baseband signal frequency to generate a frequency-adjusted initial signal, and the frequency-adjusted initial signal is signal-amplified based on the signal amplification multiple to generate the first signal.

[0008] In an optional implementation, the signal frequency of the second signal is a stimulated emission frequency, or the signal frequency of the second signal belongs to a frequency range set for the stimulated emission frequency.

[0009] In an optional implementation, the feature extraction result includes encoding information of the second signal. Based on the feature extraction result, it is determined that the second signal is not the first signal, including: If the encoding information included in the feature extraction result is not the encoding information of the first signal, it is determined that the second signal is not the first signal.

[0010] In an optional implementation, after it is determined that the target entity exists in the target region, the method further includes: The coherence state feature of the target entity is obtained from the feature extraction result. The coherence state feature is calculated inversely to determine entity position information of the target entity. An information display interface is presented; the information display interface is used to display the entity position information.

[0011] In a second aspect, the embodiments of the present application further provide a target entity detection device, including: A signal sending module is configured to generate a first signal based on a stimulated emission frequency of a target entity, and send the first signal to a target region; wherein the stimulated emission frequency belongs to a preset radio wave frequency range, and the first signal is used to detect whether the target entity exists in the target region; A signal receiving module is configured to receive a second signal from the target region, and perform quantum state feature extraction on the second signal to obtain a feature extraction result of the second signal. A signal processing module is configured to determine that the target entity exists in the target region if the feature extraction result includes a quantum state identifier of the target entity, and based on the feature extraction result, it is determined that the second signal is not the first signal; wherein the quantum state identifier is related to the stimulated emission frequency.

[0012] In an optional implementation, before the first signal is generated based on the stimulated emission frequency of the target entity, the signal processing module is further configured to: The following operations are respectively performed for a plurality of entities: The stimulated emission frequencies corresponding to the plurality of entities are determined respectively; wherein the stimulated emission frequencies of different entities are different; The quantum state identifier is set for the plurality of entities based on the plurality of stimulated emission frequencies respectively.

[0013] In an optional implementation, when the first signal is generated based on the stimulated emission frequency of the target entity, the signal sending module is specifically configured to: Generate an initial signal based on the stimulated emission frequency; the initial signal is used to stimulate the target entity to have atomic energy level transition, so that the target entity generates a stimulated emission signal; The initial signal is signal-modulated based on the region position information of the target region to generate the first signal.

[0014] In an optional implementation, when the first signal is generated based on the region position information of the target region to modulate the initial signal, the signal sending module is specifically configured to: Based on the region position information, determine the signal amplification multiple and the baseband signal frequency corresponding to the initial signal; Based on the baseband signal frequency, the initial signal is frequency-modulated to generate a frequency-adjusted initial signal, and the frequency-adjusted initial signal is signal-amplified based on the signal amplification multiple to generate the first signal.

[0015] In an optional implementation, the feature extraction result includes: the encoding information of the second signal; when it is determined based on the feature extraction result that the second signal is not the first signal, the signal processing module is specifically configured to: If the encoding information included in the feature extraction result is not the encoding information of the first signal, it is determined that the second signal is not the first signal.

[0016] In an optional implementation, after it is determined that the target entity exists in the target region, the apparatus further includes: an information display module, and the information display module is specifically configured to: Obtain the coherent state feature of the target entity from the feature extraction result, and perform inversion calculation on the coherent state feature to determine the entity position information of the target entity; Present an information display interface; the information display interface is used to display the entity position information.

[0017] In a third aspect, the embodiments of the present application further provide an electronic device, which includes: a processor; and a memory storing programs, The program includes instructions which, when executed by the processor, cause the processor to perform the target entity detection method according to the first aspect.

[0018] In a fourth aspect, the embodiments of the present application further provide a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to perform the target entity detection method according to the first aspect.

[0019] In a fifth aspect, the present application provides a computer program product, which, when invoked by a computer, causes the computer to perform the steps of the target entity detection method according to the first aspect.

[0020] The present application has the following beneficial effects: In the target entity detection method provided by the embodiments of the present application, a first signal is generated based on a stimulated emission frequency of a target entity, and the first signal is sent to a target area; wherein the stimulated emission frequency belongs to a preset radio wave frequency range, and the first signal is used to detect whether there is a target entity in the target area; then, a second signal from the target area is received, and quantum state feature extraction is performed on the second signal to obtain a feature extraction result of the second signal; finally, if the feature extraction result includes a quantum state identifier of the target entity, and it is determined based on the feature extraction result that the second signal is not the first signal, it is determined that there is a target entity in the target area. Since the first signal can stimulate the target entity to undergo atomic energy level transition, so that the target entity generates a stimulated emission signal which is not easily disturbed by external interference. In this way, once the second signal is received and it is determined based on the quantum state feature of the second signal that the second signal is the stimulated emission signal generated by the target entity, it can be determined that there is a target entity in the target area, thereby improving the detection accuracy of the target entity.

[0021] In addition, other features and advantages of the present application will be described in the following description, and some will become apparent from the description, or will be understood by those skilled in the art. The purpose and other advantages of the present application can be achieved and obtained by the structure specifically pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings described here are used to provide further understanding of the present application, and form a part of the present application. They do not constitute an improper limitation on the present application. In the drawings: Figure 1 An optional application scenario schematic diagram applicable to the embodiments of the present application; Figure 2 An implementation flowchart of a target entity detection method provided by the embodiments of the present application; Figure 3 A constituent structure schematic diagram of a signal transmitting device provided by an embodiment of the present application is shown in FIG. 1. Figure 4 A constituent structure schematic diagram of a signal receiving device provided by an embodiment of the present application is shown in FIG. 2. Figure 5 A structure schematic diagram of a target entity detecting device provided by an embodiment of the present application is shown in FIG. 3. Figure 6 A structure schematic diagram of an electronic device provided by an embodiment of the present application is shown in FIG. 4. DETAILED DESCRIPTION

[0023] Embodiments of the present application will be described in more detail by referring to the attached drawings. Although certain embodiments of the present application are shown in the drawings, it is understood that the present application can be implemented in various forms and should not be interpreted as being limited to the embodiments set forth herein, but rather these embodiments are provided so as to more completely and thoroughly understand the present application. It is understood that the drawings and embodiments of the present application are merely for illustrative purposes and should not be used to limit the scope of protection of the present application.

[0024] It should be understood that each step recited in the method embodiments of the present application can be executed in different order and / or in parallel. In addition, the method embodiments can include additional steps and / or omit the execution of the steps shown. The scope of the present application is not limited in this respect.

[0025] The term “comprising” and variations thereof as used herein are open-ended, that is, “including but not limited to”. The term “based on” is “based, at least in part, on”. The term “one embodiment” means “at least one embodiment”; the term “another embodiment” means “at least one additional embodiment”; the term “some embodiments” means “at least some embodiments”. Related definitions are given throughout the description. It is noted that the concepts “first”, “second”, etc. mentioned in the present application are merely used to distinguish different devices, modules or units, and are not intended to limit the order or interdependence of the functions performed by these devices, modules or units.

[0026] It is noted that the modification of “one”, “multiple” mentioned in the present application is illustrative rather than limiting, and those skilled in the art should understand that, unless otherwise explicitly indicated in the context, it should be understood as “one or more”.

[0027] The names of the messages or information exchanged between the multiple devices in the embodiments of the present application are merely for illustrative purposes, and are not intended to limit the scope of the messages or information.

[0028] First, the design idea of the embodiments of the present application will be briefly introduced as follows: The conventional radio frequency signal detection method (such as inductive coupling antenna, microwave mixer, phase lock amplifier, etc.) has certain limitations in sensitivity, dynamic range or frequency response, etc. in the detection of target entities (such as ore bodies, etc.). Especially in the detection of weak signals in the low frequency band, thermal noise will greatly affect the signal detection result. At the same time, the current widely used electromagnetic detection method, such as metal detector, ground penetrating radar, etc., also has the problem of being difficult to penetrate the complex environment to obtain effective echo signals. For example, the reflected signal received by the detection system in the process of detecting the target entity usually has the problem of distortion. Therefore, the target detection accuracy of the existing target entity detection method needs to be improved.

[0029] Therefore, in order to solve or improve the above problems and improve the accuracy of target detection, the embodiments of the present application propose a target entity detection method, which can specifically include: generating a first signal based on the stimulated emission frequency of the target entity, and sending the first signal to the target area; wherein the stimulated emission frequency belongs to a preset radio wave frequency range, and the first signal is used to detect whether there is a target entity in the target area; then, receiving a second signal from the target area, and performing quantum state feature extraction on the second signal to obtain a feature extraction result of the second signal; finally, if the quantum state identifier of the target entity is included in the feature extraction result, and it is determined based on the feature extraction result that the second signal is not the first signal, it is determined that there is a target entity in the target area; wherein the quantum state identifier is related to the stimulated emission frequency. Since the first signal can stimulate the target entity to undergo atomic energy level transition, so that the target entity generates a stimulated emission signal which is not easily disturbed by external interference. In this way, once the second signal is received and it is determined based on the quantum state feature of the second signal that the second signal is the stimulated emission signal generated by the target entity, it can be determined that there is a target entity in the target area, thereby improving the detection accuracy of the target entity.

[0030] In particular, the preferred embodiments of the present application are described below in conjunction with the drawings of the specification. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and are not used to limit the present application, and the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0031] Referring to Figure 1 As shown in the figure, it is an optional application scenario diagram applicable to the embodiments of the present application, which can include a target entity 101, a target area 102 and a target detection system 103. Wherein, the target entity 101 can be inside the target area 102, and the target detection system 103 can detect the target entity 101 in the target area 102. It should be understood that the target entity 101 can also be on the surface of the target area 102, and the embodiments of the present application do not limit this.

[0032] For example, the target entity 101 can be various ore bodies (e.g., gold mines, copper mines, etc.), gas resources, oil resources, etc., and the target area 102 can be a mountain, an ocean, a river, a desert, a canyon, etc.

[0033] In the embodiment of the present application, the target detection system 103 can generate a first signal based on the stimulated emission frequency of the target entity 101, and send the first signal to the target area 102; wherein the stimulated emission frequency belongs to a preset radio wave frequency range, and the first signal can be used to detect whether the target entity 101 exists in the target area 102; then, a second signal from the target area 102 is received, and a quantum state feature of the second signal is extracted to obtain a feature extraction result of the second signal; finally, if the quantum state identifier of the target entity 101 is included in the feature extraction result, and it is determined based on the feature extraction result that the second signal is not the first signal, it is determined that the target entity 101 exists in the target area 102; wherein the quantum state identifier is related to the stimulated emission frequency. That is, the target detection system 103 realizes the detection of whether the target area 102 contains the target entity 101.

[0034] It should be noted that the target detection system 103 in the embodiment of the present application can be a ground device (e.g., a ground base station, etc.), or a non-ground device (e.g., a satellite, a drone, etc.), and the embodiment of the present application does not limit this.

[0035] The target entity detection method provided by the exemplary embodiments of the present application will be described below in combination with the above application scenarios and with reference to the accompanying drawings. It should be noted that the above application scenarios are only shown to facilitate understanding of the spirit and principles of the present application, and the embodiments of the present application are not limited in this respect.

[0036] Referring to Figure 2 As shown in FIG. 2, it is an implementation flowchart of a target entity detection method provided by an embodiment of the present application, and the execution subject is taken as an example of a target detection system. The specific implementation process of the method is as follows: S201: generating a first signal based on the stimulated emission frequency of the target entity, and sending the first signal to the target area.

[0037] The stimulated emission frequency is in a preset radio wave frequency range. The radio wave frequency range can be [3 Hz, 3 THz]. According to the frequency difference, the radio wave can be divided into multiple frequency bands, such as an extremely low frequency (ELF) band, a super low frequency (SLF) band, a very low frequency (VLF) band, a low frequency (LF) band, a medium frequency (MF) band, a high frequency (HF) band, a very high frequency (VHF) band, an ultra high frequency (UHF) band, a super high frequency (SHF) band (or a microwave frequency band), and an extremely high frequency (EHF) band (or a millimeter wave frequency band).

[0038] The frequency range of the ELF band is [3 Hz, 300 Hz], the frequency range of the SLF band is [300 Hz, 3 KHz], the frequency range of the VLF band is [3 KHz, 30 KHz], the frequency range of the LF band is [30 KHz, 300 KHz], the frequency range of the MF band is [300 KHz, 3 MHz], the frequency range of the HF band is [3 MHz, 30 MHz], the frequency range of the VHF band is [30 MHz, 300 MHz], the frequency range of the UHF band is [300 MHz, 3 GHz], the frequency range of the SHF band is [3 GHz, 30 GHz], and the frequency range of the EHF band is [30 GHz, 3 THz].

[0039] The first signal can be used to detect whether the target entity exists in the target area. The first signal is generated based on the stimulated emission frequency of the target entity. Therefore, the first signal can be used to stimulate the target entity to generate atomic energy level transition, thereby generating a stimulated emission signal. If the target detection system receives the stimulated emission signal, it can be determined that the target entity exists in the target area; otherwise, it can be determined that the target entity does not exist in the target area.

[0040] It should be understood that the first signal can also be referred to as an entity detection signal or a quantum identification signal. Of course, the first signal can also have other names, and the embodiments of the present application do not make specific limitations on this. In addition, the atomic energy level transition of the target entity is that the electrons included in the atoms of the target entity jump between different energy states (energy levels).

[0041] In an optional implementation, before step S201 is performed, the target detection system can also determine the excited emission frequencies corresponding to the plurality of entities respectively, so as to set the quantum state identifier for the plurality of entities respectively based on the plurality of excited emission frequencies. The excited emission frequencies of different entities are different, and each quantum state identifier can be generated according to the quantum state characteristics of the corresponding entity. Since the excited emission frequencies of different entities are different, the quantum state identifier set for different entities can uniquely identify the corresponding entity. Once the target detection system determines the quantum state identifier according to the received signal, it can be determined that the target region exists the entity corresponding to the quantum state identifier.

[0042] For example, taking six entities (such as Entity.1 ~ Entity.6) as an example, the six entities and their respective excited emission frequencies and quantum state identifiers are shown in Table 1: Table 1: Examples of entities and their corresponding excited emission frequencies and quantum state identifiers

[0043] In order to ensure that the generated first signal can better detect the target region, the target detection system can generate the first signal according to the region position information of the target region. Therefore, in an optional implementation, when step S201 is performed, the target detection system can generate an initial signal based on the excited emission frequency of the target entity, and then modulate the initial signal based on the region position information of the target region to generate the first signal. The initial signal described above can be used to excite the target entity to undergo atomic energy level transition, so that the target entity generates an excited emission signal.

[0044] For example, the region position information described above can include the distance between the target detection system and the target region, the medium distribution between the target region and the target detection system, and the orientation of the target region, etc.

[0045] In an optional implementation, when the target detection system modulates the initial signal based on the region position information of the target region to generate the first signal, the target detection system can determine the signal amplification multiple and the baseband signal frequency corresponding to the initial signal based on the region position information, modulate the initial signal based on the baseband signal frequency to generate a frequency-adjusted initial signal, and amplify the frequency-adjusted initial signal based on the signal amplification multiple to generate the first signal.

[0046] Based on the above method, the target detection system modulates the generated initial signal based on the region position information of the target region to generate the first signal, which ensures that the generated first signal can accurately detect the target region.

[0047] For example, refer to Figure 3 As shown, the target detection system can include a signal transmitting device. The signal transmitting device can include a quantum identifier forming module, a signal modulating module, and a signal transmitting module. The quantum identifier forming module can be configured to generate an electromagnetic signal (i.e., an initial signal) with a specific quantum state (e.g., a coherent state, an angular momentum state, a Rydberg excited state, etc.) feature, to achieve quantum modulation or information encoding of the signal. The signal modulating module can be configured to perform power amplification and frequency modulation on the initial signal, to generate the first signal described above. The signal transmitting module can be configured to radiate the first signal described above to the free space or the target region (i.e., the target area) through an antenna or a coupling channel.

[0048] S202: receiving a second signal from the target region, and performing quantum state feature extraction on the second signal to obtain a feature extraction result of the second signal.

[0049] Since the target signal received by the target detection system from the target region is usually a mixed signal formed by superposition of multiple signals. In an optional implementation, when performing step S202, the target detection system can perform signal demodulation or analysis on the target signal received from the target region when receiving the target signal from the target region, to obtain a second signal with a signal frequency size of the excited emission frequency of the target entity, and then perform quantum state feature extraction on the second signal to obtain a feature extraction result of the second signal. In this way, the problem of long time required for quantum state feature extraction of the target signal and complex feature extraction result due to the mixed signal formed by superposition of multiple signals in the target region is avoided, and the efficiency of target entity detection is improved.

[0050] In another optional implementation, when performing step S202, the target detection system can also adjust the signal receiving frequency of the signal receiving module of the target detection system, such as adjusting the receiving frequency of the signal receiving module to the excited emission frequency of the target entity, or adjusting the receiving frequency range of the signal receiving module to the frequency range set for the excited emission frequency of the target entity. Then, the target detection system can receive the second signal with a signal receiving frequency size of the excited emission frequency of the target entity through the signal receiving module. In this way, the target detection system does not need to receive all the signals in the target region, but only receives the second signal related to the excited emission signal of the target signal, further reducing the complexity of signal processing.

[0051] In other words, the target detection system receives the second signal through the signal receiving module after adjusting the signal receiving frequency of the signal receiving module of the target detection system, and the signal frequency of the second signal received by the signal receiving module is the stimulated emission frequency of the target entity, or the signal frequency of the second signal received by the signal receiving module belongs to the frequency range set for the stimulated emission frequency of the target entity.

[0052] Further, after receiving the second signal, the target detection system can perform quantum state feature extraction on the second signal to obtain a feature extraction result of the second signal. It should be understood that the aforementioned feature extraction result can be used to determine the superposition, entanglement, unclonability and measurement collapse of the quantum state corresponding to the second signal.

[0053] S203: If the quantum state identifier of the target entity is included in the feature extraction result, and it is determined that the second signal is not the first signal based on the feature extraction result, it is determined that the target entity exists in the target region.

[0054] The quantum state identifier of the target entity is related to the stimulated emission frequency of the target entity. That is, the quantum state identifier of the target entity can be set for the target entity according to the stimulated emission frequency of the target entity.

[0055] Since the first signal is a detection signal generated according to the stimulated emission frequency of the target entity, the quantum state feature extraction result of the first signal will also include the quantum state identifier of the target entity. In order to avoid the target detection system misjudging the received first signal returned through the target region as the second signal generated by the stimulated emission of the target entity, the target detection system can perform specific quantum state adjustment (i.e., information encoding) on the first signal when generating the first signal, so as to distinguish whether the received signal is the stimulated emission signal of the target entity. In an optional implementation manner, if the encoded information included in the feature extraction result of the second signal is not the encoded information of the first signal, it is determined that the second signal is not the first signal.

[0056] In an optional implementation manner, after determining that the target entity exists in the target region, the target detection system can further obtain the coherent state feature of the target entity from the feature extraction result, and perform inversion calculation on the coherent state feature to determine the entity position information of the target entity; then, an information display interface for displaying the entity position information can be presented.

[0057] For example, referring to FIG. 1, the target detection system 100 can obtain the entity position information of the target entity 101 through the target detection system 100, and present the information display interface 102 for displaying the entity position information of the target entity 101. Figure 4As shown, the target detection system can further include a signal receiving device. The signal receiving device can include a quantum signature receiving module (or signal receiving module), a signal processing module, a positioning calculation module, a coherent inversion module, and a result display module. The quantum signature receiving module can be used to receive electromagnetic signals (i.e., second signals) from the target region. For example, the quantum signature receiving module can be a photodetector, a microwave receiver, or a superconducting quantum interference device (SQUID) to capture the magnetic flux change generated in the stimulated emission process with high sensitivity. The signal processing module can be used to perform analog-to-digital conversion, filtering, digital sampling, phase-locked demodulation, and spectrum reconstruction on the received electromagnetic signals (i.e., second signals) to obtain the frequency, amplitude, phase, and other characteristic quantities of the second signals. The positioning calculation module can be used to perform source position inversion, imaging reconstruction, or trajectory analysis on the analysis results (e.g., feature extraction results) of the second signals. The coherent inversion module can perform coherent inversion on the characteristic quantities of the second signals in the process of source position inversion by the positioning calculation module In to obtain the coherent state characteristics of the target entity, and perform inversion calculation on the coherent state characteristics to determine the entity position information of the target entity, i.e., the position of the target entity. The result display module is used to visualize the final processing results, for example, by displaying the entity position information of the target entity through an information display interface.

[0058] It should be understood that the target detection system composed of the signal transmitting device shown in Figure 3 and the signal receiving device shown in Figure 4 can be widely applied to various scenes such as geographic exploration, magnetic field response, chemical molecule identification, and biological molecule detection. In the physical exploration scene, the target detection system matches the response frequency of the underground metal body. Under the excitation of the external excitation source, the structure of the underground metal body radiates weak radio waves, which are received by the target detection system and then processed through the stimulated emission signal amplified by the stimulated emission. The two-dimensional profile of the underground metal or cavity can be obtained.

[0059] In magnetic field response scenarios, target detection systems can capture localized magnetic field disturbances caused by stimulated emission and, through spectral feature extraction, achieve high-precision geomagnetic anomaly imaging or underground structure detection. In chemical molecule recognition scenarios, when detecting small organic molecules with dipole response characteristics (e.g., phenylethylamine compounds), the small organic molecules induce weak radio frequency disturbances under the influence of the first signal emitted by the target detection system. In biomolecule detection scenarios, certain proteins and DNA sequences in biological samples trigger minute electromagnetic signal changes during binding or folding. The target elastic system induces stimulated emission of these biomolecules by matching frequency bands and amplifies and detects these changes, thereby achieving label-free biosensing or real-time drug response monitoring.

[0060] In summary, in the target entity detection method provided in this application embodiment, a first signal is generated based on the stimulated emission frequency of the target entity and sent to the target area; wherein, the stimulated emission frequency belongs to a preset radio wave frequency range, and the first signal is used to detect whether a target entity exists in the target area; then, a second signal from the target area is received, and quantum state feature extraction is performed on the second signal to obtain the feature extraction result of the second signal; finally, if the feature extraction result includes the quantum state identifier of the target entity, and it is determined based on the feature extraction result that the second signal is not the first signal, then it is determined that a target entity exists in the target area. Since the first signal can excite the target entity to undergo atomic energy level transitions, so that the target entity generates a stimulated emission signal that is not easily affected by external interference, once the second signal is received and it is determined based on the quantum state feature of the second signal that the second signal is a stimulated emission signal generated by the target entity, it can be determined that a target entity exists in the target area, thereby improving the detection accuracy of the target entity.

[0061] Furthermore, based on the same technical concept, embodiments of this application provide a target entity detection device, which is used to implement the above-described method flow of the embodiments of this application. For example, see [link to relevant documentation]. Figure 5 As shown, the target entity detection device 500 may include: a signal transmitting module 501, a signal receiving module 502, a signal processing module 503, and an information display module 504, wherein: The signal transmitting module 501 is used to generate a first signal based on the stimulated emission frequency of the target entity and transmit the first signal to the target area; wherein the stimulated emission frequency belongs to a preset radio wave frequency range, and the first signal is used to detect whether there is a target entity in the target area; Signal receiving signal 502 is used to receive a second signal from the target region and perform quantum state feature extraction on the second signal to obtain the feature extraction result of the second signal; The signal processing module 503 is configured to determine that the target entity exists in the target region if the feature extraction result includes the quantum state identifier of the target entity and it is determined that the second signal is not the first signal based on the feature extraction result; and the quantum state identifier is related to the stimulated emission frequency.

[0062] In an optional implementation, before the first signal is generated based on the stimulated emission frequency of the target entity, the signal processing module 503 is further configured to: For a plurality of entities, the following operations are respectively performed: The stimulated emission frequencies corresponding to the plurality of entities are determined; wherein the stimulated emission frequencies of different entities are different; The quantum state identifiers are respectively set for the plurality of entities based on the plurality of stimulated emission frequencies.

[0063] In an optional implementation, when the first signal is generated based on the stimulated emission frequency of the target entity, the signal sending module 501 is specifically configured to: Generate an initial signal based on the stimulated emission frequency; the initial signal is used to excite the target entity to undergo atomic energy level transition, so that the target entity generates a stimulated emission signal; The initial signal is signal-modulated based on the region position information of the target region to generate the first signal.

[0064] In an optional implementation, when the first signal is generated based on the region position information of the target region, the signal sending module 501 is specifically configured to: Based on the region position information, determine the signal amplification multiple and the baseband signal frequency corresponding to the initial signal; The initial signal is frequency-modulated based on the baseband signal frequency to generate a frequency-adjusted initial signal, and the frequency-adjusted initial signal is signal-amplified based on the signal amplification multiple to generate the first signal.

[0065] In an optional implementation, the feature extraction result includes the encoding information of the second signal; when it is determined that the second signal is not the first signal based on the feature extraction result, the signal processing module 503 is specifically configured to: If the encoding information included in the feature extraction result is not the encoding information of the first signal, it is determined that the second signal is not the first signal.

[0066] In an optional implementation, after it is determined that the target entity exists in the target region, the apparatus further includes an information display module 504, which is specifically configured to: Obtain the coherent state feature of the target entity from the feature extraction result, and perform inversion calculation on the coherent state feature to determine the entity position information of the target entity. The information display interface is used to display the entity location information.

[0067] Based on the description of the method embodiments and the device embodiments, the exemplary embodiments of the present application further provide an electronic device, comprising: at least one processor; and a memory connected with the at least one processor. The memory stores a computer program which can be executed by the at least one processor, and the computer program is used for causing the electronic device to execute the method according to the embodiments of the present application when the computer program is executed by the at least one processor.

[0068] The embodiments of the present application further provide a non-transitory computer readable storage medium storing a computer program, wherein the computer program is used for causing a computer to execute the method according to the embodiments of the present application when the computer program is executed by a processor of the computer.

[0069] The embodiments of the present application further provide a computer program product, comprising a computer program, wherein the computer program is used for causing a computer to execute the method according to the embodiments of the present application when the computer program is executed by a processor of the computer.

[0070] Referring to Figure 6 As shown in the figure, a block diagram of the structure of the electronic device 600 which can be a server or a client of the present application will now be described, which is an example of a hardware device that can be applied to various aspects of the present application. The electronic device is intended to represent a variety of forms of digital electronic computing devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device can also represent a variety of forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown in the figure, their connections and relationships, and their functions, are merely examples and are not intended to limit implementations of the present application described and / or claimed herein.

[0071] As Figure 6 shown, the electronic device 600 includes a computing unit 601 which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 602 or a computer program loaded from a storage unit 608 into a random access memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The computing unit 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0072] A plurality of components in the electronic device 600 are connected to the I / O interface 605, including: an input unit 606, an output unit 607, a storage unit 608, and a communication unit 609. The input unit 606 can be any type of device that can input information to the electronic device 600, and can receive inputted digital or character information, and generate key signal inputs related to user settings and / or function controls of the electronic device. The output unit 607 can be any type of device that can present information, and can include, but is not limited to, a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer. The storage unit 608 can include, but is not limited to, a magnetic disk, an optical disk. The communication unit 609 allows the electronic device 600 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks, and can include, but is not limited to, a modem, a network card, an infrared communication device, a wireless communication transceiver, and / or a chipset, such as a Bluetooth device, a WiFi device, a worldwide interoperability for microwave access (WiMax) device, a cellular communication device, and / or the like.

[0073] The computing unit 601 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, and the like. The computing unit 601 performs various methods and processes described above. For example, in some embodiments, the above-described target entity detection method can be implemented as a computer software program, which is tangibly embodied in a machine-readable medium, such as the storage unit 608. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 600 via the ROM 602 and / or the communication unit 609. In some embodiments, the computing unit 601 can be configured to perform the above-described target entity detection method by any other appropriate means, such as by means of firmware.

[0074] Program code for carrying out methods of the present application can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program code, when executed by the processor or controller, causes the functions / acts specified in the flowcharts and / or block diagrams to be implemented. The program code can be entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine or entirely on a remote machine or server.

[0075] In the context of the present application, a machine-readable medium can be a tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include but is not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium would include one or more lines of electrical conductors, a portable computer disk, a hard disk, RAM, ROM, erasable programmable read-only memory (EPROM) or flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0076] As used in the present application, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus and / or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and / or data to a programmable processor.

[0077] To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a cathode ray tube (CRT) or a liquid crystal display (LCD) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0078] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0079] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

[0080] And, it should be understood that all the disclosed herein are only preferred embodiments of the application, and cannot be used to limit the scope of the application, therefore, any equivalent changes made on the basis of the claims of the application, still belong to the scope of the application.

Claims

1. A method for detecting target entities, characterized in that, The method comprises: generating a first signal based on a target entity's stimulated emission frequency, and sending the first signal to a target area; wherein the stimulated emission frequency belongs to a preset radio wave frequency range, and the first signal is used to detect whether the target entity exists in the target area; receiving a second signal from the target area, and performing quantum state feature extraction on the second signal to obtain a feature extraction result of the second signal; if the feature extraction result includes a quantum state identifier of the target entity, and it is determined based on the feature extraction result that the second signal is not the first signal, it is determined that the target entity exists in the target area; wherein the quantum state identifier is related to the stimulated emission frequency.

2. The method of claim 1, wherein, Before the generating of the first signal based on the target entity's stimulated emission frequency, the method further comprises: determining the stimulated emission frequencies corresponding to the multiple entities respectively; wherein the stimulated emission frequencies of different entities are different; setting quantum state identifiers for the multiple entities based on the multiple stimulated emission frequencies.

3. The method of claim 1, wherein, The generating of the first signal based on the target entity's stimulated emission frequency comprises: generating an initial signal based on the stimulated emission frequency; the initial signal is used to stimulate the target entity to undergo atomic energy level transition, so that the target entity generates a stimulated emission signal; performing signal modulation on the initial signal based on the area location information of the target area to generate the first signal.

4. The method of claim 3, wherein, The signal modulation on the initial signal based on the area location information of the target area to generate the first signal comprises: determining a signal amplification multiple and a baseband signal frequency corresponding to the initial signal based on the area location information; performing frequency modulation on the initial signal based on the baseband signal frequency to generate a frequency-adjusted initial signal, and performing signal amplification on the frequency-adjusted initial signal based on the signal amplification multiple to generate the first signal.

5. The method of claim 1, wherein, The signal frequency of the second signal is the stimulated emission frequency, or the signal frequency of the second signal belongs to a frequency range set for the stimulated emission frequency.

6. The method of claim 1, wherein, The feature extraction result includes encoding information of the second signal. The determination based on the feature extraction result that the second signal is not the first signal comprises: if the encoding information included in the feature extraction result is not the encoding information of the first signal, it is determined that the second signal is not the first signal.

7. The method of claim 1, wherein the step of determining the location of the mobile device is performed by a location server. After the determination that the target entity exists in the target area, the method further comprises: obtaining a coherent state feature of the target entity from the feature extraction result, and performing inversion calculation on the coherent state feature to determine entity location information of the target entity; presenting an information display interface; the information display interface is used to display the entity location information.

8. A target entity detection apparatus, characterized by, The method comprises: a signal sending module, configured to generate a first signal based on a target entity's stimulated emission frequency, and send the first signal to a target area; wherein the stimulated emission frequency belongs to a preset radio wave frequency range, and the first signal is used to detect whether the target entity exists in the target area; The signal receiving module is configured to receive a second signal from the target region, and perform quantum state feature extraction on the second signal to obtain a feature extraction result of the second signal. The signal processing module is configured to determine that the target entity exists in the target region if the feature extraction result includes a quantum state identifier of the target entity, and it is determined based on the feature extraction result that the second signal is not the first signal; wherein the quantum state identifier is related to the stimulated emission frequency. 9.An electronic device comprising: a processor; and a memory storing a program, wherein the program includes instructions that, when executed by the processor, cause the processor to perform the method of any one of claims 1-7.

10. A non-transitory computer readable storage medium having stored thereon computer instructions, wherein, The computer instructions are configured to cause the computer to perform the method of any one of claims 1-7.

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