130 results about "Quantum technology" patented technology

The invention provides a power grid dispatching strategy optimization method and system, and the method comprises the steps: deploying a device based on a quantum entanglement technology between transformer substations, and collecting the state information of a power grid, and encrypting and transmitting the state information to a control center through a quantum network; a pulse neural network processor is used in a control center to extract spatial-temporal characteristics, and a quantum game theory model is used to generate an optimized scheduling strategy. Multi-modal verification data is collected, including visual deformation, abnormal sound monitoring, and operational resistance data. A genetic algorithm and deep reinforcement learning are utilized to optimize a decision model, and a dynamic weight distribution mechanism is included. And through a photon-quantum hybrid computing architecture execution model, a scheduling strategy is collaboratively optimized, and a result is fed back to a physical power grid. According to the method, the quantum technology and the spiking neural network are combined, new energy fluctuation is captured in real time, the multi-target weight is dynamically adjusted through the quantum game theory model, and the scheduling strategy robustness is improved. And a photon-quantum hybrid computing architecture is adopted, so that the feature extraction speed and the optimization efficiency are improved.

The invention relates to the technical field of promotion management, and provides an intelligent library reading promotion management method based on a knowledge graph, and the method comprises the following steps: S1, obtaining library collection resources, user behaviors and scene data, constructing the knowledge graph, and providing a semantic association basis and intelligent matching between book resources and user demands for intelligent recommendation; s2, dynamically adjusting the knowledge association weight, and improving the popularization precision, the adaptive ability and the intelligent decision of the popularization strategy for the system; and S3, analyzing the multi-dimensional behavior data of the user, mining hidden interests of the user, depicting an interest portrait for the user, and dynamically updating in real time. Through the parallelism and randomness of the quantum technology, the response ability of the strategy to sudden hotspots and user demand changes is improved, the reading promotion strategy is continuously kept efficient in a dynamic environment, and the quality and effect of reading promotion are continuously improved by continuously optimizing the promotion strategy, so that a smart library is promoted to develop in a more intelligent and more adaptive direction.

The present disclosure relates to the field of artificial intelligence (AI) and quantum technologies, and provides a quantum error correction hardware decoder and a chip. The quantum error correction hardware decoder includes: a memory storing instructions, a neural network processing unit, and a processor in communication with the memory and the neural network processing unit; and wherein, when the processor executes the instructions, the processor is configured to cause the quantum error correction decoder to: obtain error syndrome information for an error syndrome measured due to an error occurring in a quantum circuit, decode, by the neural network processing unit, the error syndrome information based on a neural network model to obtain an output result of the neural network model, and determine error information based on the output result, the error information indicating a qubit in which an error occurs in the quantum circuit and a corresponding error type.

The invention discloses a cardiovascular disease risk assessment system based on big data analysis, which relates to the technical field of medical big data and quantum and comprises a data acquisition module, a preprocessing module, a feature extraction module, a model training module, a risk assessment module and a result display module. Data acquisition integrates multi-source heterogeneous data, quantum encryption is used to guarantee security, and preprocessing is carried out by deep reinforcement learning cleaning and adaptive normalization; feature extraction is combined with quantum principal component analysis and an auto-encoder, and a quantum attention mechanism is introduced; the model training adopts quantum neural network ensemble learning of quantum annealing optimization; introducing fuzzy logic reasoning to correct probability and layering in risk assessment; results are displayed through virtual reality and augmented reality technologies, and report suggestions are automatically generated. The method has the advantages of prominent advantages, comprehensive multi-modal data acquisition, accurate advanced technology preprocessing and feature extraction, efficient and accurate quantum optimization model training, and combination of real-time monitoring and a knowledge graph, provides a basis for prevention and treatment of cardiovascular diseases, and promotes medical intellectualization and precision.

An assistive processing method and apparatus for quantum machine learning, a device, and a system, relating to the technical field of quanta. The method comprises: obtaining a unitary result generated in an execution process of a quantum machine learning task, wherein the unitary result is obtained by measuring a first quantum bit in a first parameterized quantum circuit used in the quantum machine learning task, and the first parameterized quantum circuit is used for executing a unitary operation on an initial quantum state of the first quantum bit; executing nonlinear processing on the unitary result to obtain a nonlinear processing result; and on the basis of the nonlinear processing result, indicating an initial quantum state of a second quantum bit to a second parameterized quantum circuit used in the quantum machine learning task, wherein the initial quantum state of the second quantum bit is determined by encoding the nonlinear processing result. Classical nonlinear processing is introduced in an intermediate execution stage of the quantum machine learning task, and nonlinear perception is carried out on the unitary result, thereby improving the expression precision of quantum machine learning.

The embodiment of the invention provides a quantum computer operation method, equipment, system and device based on batch processing, and relates to the technical field of quantum.The method comprises the steps that a plurality of target quantum circuits to be operated currently are obtained; compiling the plurality of target quantum circuits in a first parallel mode to obtain quantum calculation instructions corresponding to the plurality of target quantum circuits, and taking the quantum calculation instructions as target quantum calculation instructions; and the obtained multiple target quantum calculation instructions are sent to a quantum chip, correspondingly, the quantum chip can execute the multiple target quantum calculation instructions, and operation results of the multiple target quantum circuits are obtained. Thus, in the process of using a large number of quantum circuits for calculation, the multiple quantum circuits can be compiled at the same time in a parallel mode, the time consumed for compiling the quantum circuits is shortened, and then the overall calculation efficiency can be improved.

The invention discloses a low ferromagnetic resonance linewidth BaFe12O19 single crystal and a preparation method thereof, and belongs to the technical field of magnet materials. According to the method, growth of the BaFe12O19 single crystal is realized mainly through multiple times of temperature rising and falling and multiple times of temperature oscillation. Compared with direct cooling, the single crystal grown by the method provided by the invention has higher Curie temperature and saturation magnetization and narrower ferromagnetic resonance line width. Through collaborative optimization of high Curie temperature, high saturation magnetization and low ferromagnetic resonance line width, the BaFe12O19 single crystal can be better applied to the frontier fields of high-frequency electronic devices, high-temperature permanent magnet systems, quantum technologies and the like. The improvement of the performance of the device can promote the development of the device in the directions of high frequency, miniaturization and high energy efficiency, and has strategic significance for new-generation communication, energy and information technologies.

The embodiment of the invention provides an artificial intelligence model training method and device, electronic equipment and a storage medium, and aims to reduce the cost of applying a quantum technology to AI model training and improve the training efficiency of an AI model. The method comprises the following steps: a central processing unit performs data preprocessing on original training data acquired from a memory; the original training data comprises a training set; executing the following iterative training steps on a to-be-trained artificial intelligence AI model until a preset iterative stop condition is met: inputting the training set into the to-be-trained AI model by the graphics processor, and obtaining a loss function corresponding to a current parameter of the to-be-trained AI model; the quantum processor encodes the loss function into a quantum state; the quantum processor constructs a quantum circuit based on the loss function of the quantum state, and measures the quantum gradient of the loss function through the quantum circuit; the quantum processor updates the current parameter based on the quantum gradient and a preset regularization gradient.

The invention discloses a magnetic flux regulation crosstalk calibration method for quantum bits, and relates to the technical field of quantum, and the method comprises the steps: S1, obtaining an initial calibration parameter of a target quantum system through employing an initial crosstalk matrix; s2, generating a plurality of groups of random magnetic flux configuration signals containing magnetic flux regulation and control values by using the initial crosstalk matrix; s3, constructing a modified crosstalk matrix by using the random magnetic flux configuration signal; and S4, acquiring a correction calibration parameter by using the correction crosstalk matrix, performing error evaluation, if the error evaluation is met, completing correction, and if the error evaluation is not met, returning to the step S2. Compared with the prior art, the method has the advantages that the frequency offset matrix is constructed, the crosstalk matrix is corrected, and the corrected crosstalk matrix is generated by using the quasi-Monte Carlo method and the frequency offset matrix, so that the high sampling complexity in direct proportion to the square of the bit number in two-dimensional spectrum scanning is avoided; the method has the advantages of improving the calibration precision and reducing the complexity of a phase measurement experiment process.

The invention provides a video evidence obtaining method based on Transform and quantum features, and belongs to the technical field of crossing of multimedia content security and computer vision, and the method comprises the steps: S1, collecting multi-modal original data; s2, preprocessing the multi-modal data; s3, single-mode authenticity preliminary detection is carried out; s4, multi-modal feature fusion of quantum optimization is carried out; and S5, multi-modal authenticity comprehensive judgment is carried out. Through multi-mode cooperation and quantum technology innovation, the problems of insufficient robustness, inaccurate positioning and the like of a traditional evidence obtaining technology are effectively solved, and an efficient, accurate and feasible technical scheme is provided for authenticity verification of video content.

The invention discloses an auxiliary processing method, device, equipment and system for quantum machine learning, and relates to the technical field of quantum. The method comprises the steps that a unitary result generated in the execution process of a quantum machine learning task is obtained, the unitary result is obtained by measuring a first quantum bit in a first parameterized quantum circuit used in the quantum machine learning task, and the first parameterized quantum circuit is used for conducting unitary operation on the initial quantum state of the first quantum bit; performing nonlinear processing on the unitary result to obtain a nonlinear processing result; according to the nonlinear processing result, the initial quantum state of the second quantum bit is indicated to a second parameterized quantum circuit used in the quantum machine learning task, and the initial quantum state of the second quantum bit is determined by encoding the nonlinear processing result. Classical nonlinear processing is introduced in an intermediate execution stage of a quantum machine learning task, nonlinear perception is performed on a unitary result, and the expression precision of quantum machine learning is improved.

The invention relates to the technical field of quantum physics and quantum, in particular to a super-cold atom defect-free array generation method, which comprises the following steps: S1, capturing cold atoms by using a light potential well generated by a spatial light modulator to form an initial n * 2m array; s2, shooting an image of the initial array, preprocessing the image of the initial array, transmitting the preprocessed data to a neural network for identification, and outputting an atomic position matrix; s3, calculating a moving path from the n * 2m array to the target n * m defect-free array by using a moving algorithm according to the atomic position matrix; and S4, according to the moving path, the atomic position of each column or each row in the array is adjusted, and a final defect-free target array is obtained. According to the invention, the defect-free atom array can be efficiently generated. According to the invention, through combination of neural network identification, loading of the initial array by the spatial light modulator and optimization of atom movement, efficient conversion from the initial n * 2m atom array to the target n * m defect-free array is realized.

The present application discloses a quantum computing task processing method, system, and computer device, relating to the field of quantum technology. The quantum computing task processing method includes: transforming the input quantum state of n+m quantum bits through a parameterized quantum circuit; the n+m quantum bits include n task bits and m auxiliary bits; measuring the output quantum state of the n+m quantum bits to obtain a bit string of n+m quantum bits; when the substring of the m auxiliary bits meets the post-selection condition and the parameterized quantum circuit has not converged, updating the parameters of the parameterized quantum circuit based on the output quantum state of the n task bits; when the substring meets the post-selection condition and the circuit converges, obtaining the calculation result based on the output quantum state of the n task bits. The above scheme improves the expressive power of the PQC of the variational task, thereby improving the execution effect of the variational task.

The invention provides a transaction risk identification method and device, electronic equipment, a medium and a program product, and can be applied to the technical field of quantum and the technical field of artificial intelligence. The method comprises the following steps: acquiring a high-dimensional feature vector related to a to-be-detected transaction; the high-dimensional feature vector is input into a quantum auto-encoder model constructed based on a parameterized quantum circuit for quantum feature compression, low-dimensional compression features are output, and the quantum auto-encoder model is obtained based on pre-training of a loss function weighted by abnormal risk samples; inputting the low-dimensional compression features into a classification model, and outputting a transaction risk probability value; and performing transaction risk identification on the to-be-detected transaction based on the risk probability value.

The invention relates to the technical field of security and protection video, and particularly provides a video encryption method, a video playing method and related devices based on a quantum technology. On one hand, the camera device obtains a first original session key according to a randomly generated session ID, and encrypts a video audio and video stream by using the first original session key. Therefore, the randomness of the first original session key can be increased by increasing the randomness of the session ID, so that the cracking difficulty of the audio and video streams can be improved, and the data security is further improved. And on the other hand, the camera device can determine the first target charging key in the plurality of charging keys pre-charged in the quantum security TF card through the first target key index issued by the quantum security service platform. Therefore, the charging key is not directly transmitted through the Internet, the leakage risk of the charging key is reduced, the leakage risk of the session ID and the first original session key is further reduced, and the data security can be improved.

A current measurement method based on a quantum technology judges the range of formant appearance after current change of a measured wire through a frequency sweep result based on feature points, adaptively locks microwave frequency for frequency sweep, reduces the time cost of the frequency sweep process, greatly compresses the microwave frequency sweep time, and improves the measurement accuracy. The quantum state signal extraction speed can be remarkably improved while the relative high sensitivity is kept, non-contact real-time current measurement is achieved, and the method is characterized by comprising the steps that an atom source is close to a measured wire to couple a magnetic field signal generated by current in the measured wire; the atomic quantum state control system of the atomic source is connected with an upper computer through an electrical integration module, based on the optical detection magnetic resonance technology, in the measurement process, feature points are selected near formants of optical detection magnetic resonance for frequency sweeping, the positions of the feature points are updated in a self-adaptive mode based on the frequency sweeping result of the feature points, and the measurement accuracy is improved. A microwave signal frequency band is adaptively matched with a formant, a current measurement value is obtained, global frequency sweeping is replaced by feature point frequency sweeping, and the measurement speed is increased.

A quantum computing service includes connections to a plurality of quantum hardware providers configured to execute quantum circuits using quantum computers based on different quantum technologies. The quantum computing service enables a customer to define a quantum algorithm / circuit in an intermediate representation and select from among any of a plurality of supported quantum computing technologies for execution of the quantum algorithm / quantum circuit.

The invention discloses a strong circular dichroism chiral metasurface design based on a QBIC resonance structure. The metasurface is composed of two groups of silicon medium rods which are symmetrical about an original point. Each group of medium rods comprises an elliptic cylinder and a long cube, the positions and heights of the elliptic cylinder and the long cube are different, and the elliptic cylinder structure is kept in a floating state. According to the invention, the circular dichroism can reach 0.86 when the wavelength is 657 nanometers, and the circular dichroism in the range of 650-664 nanometers is greater than 0.6, so that an enhanced circular dichroism response function is achieved. The characteristic is derived from a QBIC resonance structure formed by two groups of silicon dielectric rods. By continuously optimizing the structure, the metasurface with a stronger circular dichroism effect can be obtained. The invention provides a novel method for flexibly adjusting and enhancing circular dichroism in nano photonics. By virtue of the unique optical characteristics, the design of the invention is expected to be widely applied in the fields of biosensing, optical communication, quantum technology and the like.

To provide a magnonic device with higher applicability to quantum technology. A magnonic device comprising: a resonator; and a magnonic material disposed inside the resonator and configured to be magnetized, wherein the magnonic material is configured to generate magnons in a predetermined mode through nonlinear parametric coupling with a microwave present in the resonator.

The invention provides a packaging method of a superconducting quantum chip, a packaging structure of the superconducting quantum chip and electronic equipment, and relates to the technical field of superconducting quantum. A back electromagnetic shielding layer deviating from one side of the functional circuit area is formed on the superconducting quantum chip, so that an electromagnetic shielding structure aiming at the functional circuit is formed on the superconducting quantum chip, and the electromagnetic shielding function of the superconducting quantum chip is realized. Besides, a sealing cavity wrapping the functional circuit area is further formed among the superconducting quantum chip, the sealing ring and the control chip, welding interval control between the superconducting quantum chip and the control chip is achieved through the sealing ring, and airtight packaging of the superconducting quantum chip is achieved. Therefore, oxidation and chemical corrosion of a superconducting material of the superconducting quantum chip in a low-temperature environment can be prevented, the long-term stability of the superconducting quantum chip in a dilution refrigerator is improved, the low-temperature performance of the superconducting quantum chip is improved, and the performance and reliability of the superconducting quantum chip are improved.

The invention relates to a technical supplement of a credible AI system solution based on double-domain modeling and quantum computing, and aims to improve the theoretical basis and application capability of the credible AI system solution. The cross-culture adaptability, the physical correctness and the decision real-time performance of the system are remarkably improved by proposing a double-domain kinetic equation, defining a specific implementation mode of a hypergraph-tensor hybrid architecture and defining 25 expansion deformation forms. Definitions of a cognitive dependent domain (CDR) and a non-cognitive domain (NCR) are optimized. Besides, specific implementation schemes are respectively designed for mature and immature scenes of the quantum technology, and under the support of a simplified model and a classical calculation method, the universality of the system in a complex scene is ensured. According to the invention, extension forms of multi-domain correlation, learning and optimization correlation and architecture and communication correlation are also listed in detail, flexible solutions are provided for different application scenes, and the expansibility and adaptability of the system are further enhanced.

The invention provides a quantum storage system based on cloud desktop data. The quantum storage system comprises a cloud desktop client, a big data processing center and a quantum storage database, the cloud desktop client receives data issued by the cloud desktop through a plurality of peripherals, and arranges the data to obtain a preprocessed data set; the big data processing center comprises a data cleaning module and a digital fingerprint module, the data cleaning module performs data cleaning on the preprocessed data set, and the digital fingerprint module extracts digital fingerprints from the cleaned data and generates a fingerprint data set by taking the digital fingerprints as classification labels of the data; and the quantum storage database performs data block dynamic storage on the data according to the classification labels, and performs data compression by adopting a quantum technology. Through the extraction and embedding technology of the digital fingerprints, batch classification of the cloud desktop big data is realized, the data is subjected to data block dynamic storage based on a load balancing idea, and data compression is performed in combination with a quantum technology, so that the storage efficiency of the cloud desktop big data is effectively improved.

A quantum error correction hardware decoder and chip, relating to the fields of artificial intelligence and quantum technology, includes: an instruction storage device configured to store computer instructions; a control unit configured to read the computer instructions from the instruction storage device and control at least one neural network processing unit based on the computer instructions; the at least one neural network processing unit configured, in response to control by the control unit, to decode error syndrome information of a quantum circuit based on a neural network model to obtain an output result of the neural network model, where the error syndrome information indicates an error syndrome obtained by performing error measurements on the quantum circuit; and an error batch search unit configured to determine error information based on the output result, where the error information indicates a quantum bit in the quantum circuit where an error has occurred and an error type corresponding to the error. The programmable hardware architecture provided in this application can ensure decoding performance while sufficiently reducing decoding delay and improving scalability and flexibility.

The invention discloses an air bridge preparation method of a superconducting quantum chip and the superconducting quantum chip, and is applied to the technical field of quantum.The method comprises the steps that a first photoresist layer is arranged on the surface of a substrate of the superconducting quantum chip; performing exposure and development treatment and heating reflux treatment on the first photoresist layer to form a bridge support structure; wherein the photoresist on the surface layer of the bridging structure is denatured in the heating reflux treatment process; carrying out ultraviolet flooding exposure treatment on the substrate of the bridge support structure containing the denatured photoresist according to a preset exposure dose by utilizing an ultraviolet light source; and preparing the air bridge based on the bridge support structure subjected to the ultraviolet flooding exposure treatment. A bridged structure formed after heating reflux treatment is subjected to ultraviolet flood exposure treatment, and a cross-linked structure (such as breaking C-C and C-O cross-linked bonds in colloid) of the modified photoresist is destroyed by utilizing photochemical reaction, so that the solubility of the photoresist in a photoresist removing solution is improved, the subsequent photoresist removing solution is easier to permeate to dissolve the colloid, and the photoresist removing efficiency and the photoresist removing effect are improved.

Embodiments of the present disclosure disclose a method, device and medium for optimizing data query based on quantum technology. In the method, query text data of a user at a current time and in a historical time window is collected, and a bag-of-words model is constructed after preprocessing the query text data. Feature vectors in the bag-of-words model are quantum state encoded, and a dominant feature vector of the query text data is extracted through a quantum principal component analysis algorithm. Based on the dominant feature vector, a plurality of data items that satisfy a similarity condition with the dominant feature vector are retrieved from a target database to generate a preloaded data set. The preloaded data set is loaded into a head position of an LRU cache linked list in order of similarity with the dominant feature vector. Embodiments of the present disclosure enable faster extraction of data features and identification of data features when facing large amounts of data and high-dimensional data, and faster finding of data with similar features.

Systems and methods for detecting attacks on optical communication channels are presented. Techniques can include transmitting, from a sender to a receiver and through an optical communication channel, an optical signal, where the optical signal includes a classical optical signal representing first information and a quantum optical signal representing second information. Techniques can include detecting, by the receiver, third information from at least a portion of the quantum optical signal, and transmitting, by the receiver to the sender, the third information. Techniques can include determining, by the sender, an indication of an attack on the optical communication channel based on the second information and at least a portion of the third information. Techniques can include triggering an alarm based on the determination.

This invention discloses a method and system for geological and mineral exploration, belonging to the field of geological and mineral technology. The solution includes three core steps: First, a quantum gravity gradiometer array is constructed at the target mining site to collect quantum gravity data in each area to mark drilling target areas that meet the criteria. Second, fluid data from nanorobots tracking each drilling target area is analyzed to determine the nanorobot penetration plan and collect ore-forming fluid data. Finally, a three-dimensional fracture network model of the target mining site is constructed based on the ore-forming fluid data. By calculating the total clustering coefficient corresponding to the model, the design and analysis of the mining plan for the target mining site are completed. This solution integrates quantum technology and nanorobot tracking technology, and through data acquisition and modeling analysis, provides an innovative technical path and systematic analytical framework for the scientific formulation of geological and mineral exploration and mining plans.

This application discloses a network probing method, a QKD node, and a network probing system, belonging to the field of quantum technology. In this embodiment, a first QKD node in a QKDN receives a first probe request message. The first probe request message carries the identifiers of a second QKD node and a third QKD node. The second QKD node is a key distribution source node, and the third QKD node is a key distribution destination node. The first probe request message also carries a probe target, which indicates the information to be probed between the second and third QKD nodes. The first QKD node determines the probe result based on the probe target and transmits the probe result to the second QKD node. In this embodiment, the key distribution source node can probe a specific target in the key distribution process through the probe request message, facilitating maintenance personnel to perform maintenance on the key distribution process based on the probe results.

The invention relates to a Ramsy calibration method, system and device capable of determining a correction direction and a medium, and belongs to the technical field of quantum, the Ramsy calibration method capable of determining the correction direction comprises the following steps: estimating a Rabian detuning amount between a scanning microwave or laser frequency and an energy level difference; setting a frequency offset on the basis of the Ratio detuning amount, and changing the Ratio detuning amount to a positive value; and performing Ramsy calibration based on the positive-value Rabian detuning amount to obtain a determined energy level difference. According to the method, the detuning amount is manually set to ensure that the detuning amount is positive, so that the detuning obtained by the Ramsey interference method can be directly used for calculating the energy level difference without verifying whether the correction direction is correct or not, the subsequent experiment for judging whether the detuning is positive or negative is reduced, and the speed of calibrating the energy level difference of atoms or ions is increased.

The present invention discloses a bonding and packaging impedance matching device for a superconducting quantum chip and a quantum processor, which relates to the field of superconducting quantum technology and includes a PCB board, bonding wires, and a chip. Pad-to-ground capacitors are provided in both the PCB board and the chip; the transmission line of the PCB board is connected to the transmission line of the chip through the bonding wires, and the bonding wires act as inductors to form a low-pass filter with the two pad-to-ground capacitors to reduce the reflectivity at the bonding wire; the two pad-to-ground capacitors are independently provided, and the capacitance size is adjusted by changing the pad shape; the bonding and packaging impedance matching device and the quantum processor solve the reflection problem at the chip packaging; at the same time, there is no need to introduce external chip capacitors and add additional matching circuits, so the space of the chip and the PCB board is greatly saved.