114 results about "Quantum sensor" patented technology

The embodiment of the invention provides a switch cabinet partial discharge quantum sensing monitoring device. The device is applied to the technical field of power equipment monitoring, and comprises a light path regulation and excitation module which is used for generating and beam-splitting detection laser of a quantum sensor coupled to each Rydberg atom; the quantum electromagnetic induction module acts on Rydberg atoms and a partial discharge electromagnetic field, and fluorescence or absorption spectrum characteristics of atomic energy level transition are changed; extracting a weak discharge signal, and converting the weak discharge signal into an analyzable electric signal; the signal processing and diagnosis module is combined with spatial information acquired by a quantum sensor of doydberg atoms in a distributed manner, and a time-frequency analysis and pattern recognition algorithm is adopted to extract discharge characteristic quantity; partial discharge positioning, type identification and insulation state evaluation are realized based on the parameters, and a real-time monitoring result and early warning information are output. In this way, through deep fusion of quantum sensing and advanced signal processing, a high-precision and high-reliability technical solution is provided for power equipment state monitoring.

The invention relates to a high-precision photonic crystal waveguide signal detection method and device based on a diamond quantum sensor. The method comprises the following steps: acquiring a vibration signal transmitted by a phononic crystal waveguide through a diamond quantum sensor; performing frequency domain transformation on single-frame signals in the vibration signals in sequence to obtain single-frame frequency domain features; inputting the frequency components into a trained detector model, acquiring a long-range dependency relationship between frequency characteristics corresponding to different frequency components and context information between the frequency characteristics through a self-attention module, and correcting the frequency characteristics corresponding to the related frequency components according to the long-range dependency relationship and the context information; identifying an aggregation feature containing the corrected frequency feature through a classification layer to obtain a predicted binary numerical value corresponding to the single-frame frequency domain feature; the long-range dependency relationship means that the amplitude information and / or the phase information between the two frequency components with the frequencies exceeding the preset threshold value have an association relationship. The method can improve the signal detection precision.

A system includes a memory configured to store instances of a software application and a quantum processor operably coupled to the memory and configured to receive, from an instance of the software application, a user request to initiate an execution of multiregional interactions. The quantum processor is further configured to determine, based on the user request, structured data items configured to be completed by the user in order to satisfy the user request, identify, based one or more data fields within the structured data items, an input of first user identity verification data for satisfying the user request, extract, based on quantum sensor data obtained from quantum sensors, second user identity verification data, execute one or more quantum machine-learning (QML) models trained to identify whether the second user identity verification data matches to the first user identity verification data, and initiate the execution of the one or more multiregional interactions.

Provided is an interposer comprising: one or more photonic waveguide; one or more microwave circuit; one or more optical interconnect; and one or more electronic interconnect, further configured to support a quantum sensor, and methods of operating and fabricating thereof. Further provided is a the interposer containing one or more classical sensors. Further provided is a network of quantum sensors supported by said interposers.

The invention provides an alternating magnetic field quantum sensing detection device and method, and relates to the technical field of alternating magnetic field quantum sensors. The device comprises a sensitive module which comprises a diamond and a diamond NV color center located in the diamond; the microwave module is used for generating a target microwave signal; the light path module comprises a laser, an optical fiber and a photoelectric detector; the laser is arranged at one end of the fiber; the diamond is arranged at the other end of the fiber; a target laser signal generated by the laser is transmitted to the diamond through the optical fiber, so that the NV color center of the diamond generates red fluorescence under the action of the target laser signal and the target microwave signal; the photoelectric detector is used for collecting red fluorescence output from one end of the optical fiber; and the signal processing module is connected with the photoelectric detector and is used for converting the red fluorescence from an optical signal to an electric signal and determining the magnetic field environment of the position where the sensitive module is located according to the converted electric signal.

Aspects provide systems and methods for utilizing quantum computing systems for processing of data generated by quantum sensor. For example, magnetic field data may be captured from a brain using a quantum sensor array. This magnetic field data may then be processed using a quantum computing apparatus including a plurality of qubits in order to generate a model of the brain.

This invention provides a method and system for intelligent directional aging of baijiu (Chinese liquor) based on quantum sensing and multi-physics field synergistic regulation. The method includes: S1, using quantum sensors to detect dynamic information at the molecular scale of the liquor; S2, intelligent decision-making and flavor path planning reaction pathways based on artificial intelligence and quantum chemical simulation; S3, applying a preset energy excitation to the liquor through multi-physics field synergistic regulation to guide the aging process. This invention transforms "passive aging" into "active brewing": from an uncontrollable natural process to a designable, programmable, intelligent production process. By precisely lowering the target reaction energy barrier, the formation cycle of core flavor substances is shortened from "years" to "months" or even "weeks," achieving an order-of-magnitude efficiency improvement and breaking down the "time barrier." Based on market demand, products with different flavor emphases can be produced by adjusting the "target flavor fingerprint" and corresponding field regulation "prescription."

Entanglement is a unique quantum information processing (QIP) feature. Entanglement can be used to implement quantum sensors with improved sensitivity over classical sensors. Disclosed are systems and techniques for entanglement assisted (EA) bistatic quantum radar applications and EA joint monostatic-bistatic quantum radar applications. An EA bistatic quantum radar can include a wideband entangled source used as a transmitter, and an EA detector. An EA monostatic quantum radar can include a wideband entangled source integrated or combined with an EA detector. Optical phase conjugation can be performed on a transmitter side but not on the one or more receiver sides. Target detection can be performed based on analyzing reflected signal photons against locally stored idler photons that are entangled with the signal photons with the help of balanced homodyne detector.

Aspects provide systems and methods for utilizing quantum computing systems for processing of data generated by quantum sensor. For example, magnetic field data may be captured from a brain using a quantum sensor array (132). This magnetic field data may then be processed using a quantum computing apparatus (110) including a plurality of qubits (114) in order to generate a model of the brain.

The invention discloses a tumor detection device and method based on a diamond quantum sensor, and belongs to the technical field of biomedical detection. The device comprises an optical fiber laser, an optical fiber beam splitter, an optical fiber attenuator, an optical fiber circulator, an optical filter, two photoelectric detectors, a differential amplifier, an electronic filter, a computer, a signal generator, two microwave antennas and an optical fiber probe. The optical fiber probe comprises an optical fiber packaged in a plastic shell, a diamond quantum sensor which is fixed at the tail end of the optical fiber and comprises an NV color center, and a first microwave antenna integrated beside the optical fiber. The laser excites the diamond to generate fluorescence, meanwhile, the signal generator drives the two microwave antennas to apply a microwave field, and the dielectric property of the sample to be detected modulates the fluorescence intensity of the diamond by influencing the microwave field. Laser noise is eliminated through a differential amplification and filtering technology, and fluorescence signal change is analyzed by a computer, so that dielectric constant distribution of a sample is reconstructed, and non-invasive and high-sensitivity detection of tumors is realized.

The present invention relates to a method for producing diamond membranes with structures for use in quantum systems and / or quantum sensors, wherein the method comprises: - providing a diamond membrane that comprises a first surface and a second surface; - creating structures in the diamond membrane by applying light from a laser to the first surface of the diamond membrane; and - dry etching the second surface of the diamond membrane to reduce a thickness of the diamond membrane.

The application provides a subjective question intelligent marking and learning situation analysis system based on writing characteristics, relates to the technical field of education, and the system architecture comprises a writing characteristic acquisition and analysis subsystem, an intelligent marking subsystem and a learning situation analysis and prediction subsystem. With the aid of quantum technology, all-round innovation and improvement are realized. The model constructed by quantum sensors and calculation makes micro dynamic data accurate and observable, time sequence characteristics deep and analyzable, and the quantum algorithm is remarkably effective in constructing the font aesthetics and multi-factor correlation model on a macro level. Quantum natural language processing and neural network cooperation, semantic style fusion innovation, knowledge graph reasoning with the aid of quantum graph algorithm, etc. can accurately judge and scientifically guide various types of questions. Quantum hashing and federal learning help to integrate multi-source data, quantum random walk and autoregressive moving average model realize psychological correlation prediction, accurately understand learning situation, effectively intervene to help students' physical and mental and academic progress, and greatly enhance the efficiency and value of the system in the field of education.

The invention provides a method for improving sensitivity of a diamond quantum sensor and the diamond quantum sensor, wherein the sensitivity of a magnetic field can be improved. The sensitivity improvement method of a diamond quantum sensor is a method for improving the magnetic field sensitivity thereof for a diamond quantum sensor that detects the intensity of fluorescence emitted from a diamond by irradiating excitation light to the diamond and irradiating microwave for scanning. The irradiation of microwaves to the diamond is performed while repeatedly turning on and off at a frequency of 1000 Hz or more.

This invention relates to the field of intelligent fault early warning technology, and discloses a nanoscale fault early warning and self-repair method based on quantum sensing and materials genome. The method includes: a detection layer: using a diamond NV color center quantum sensor to capture nanoscale lattice distortion, and fusing multimodal data through federated learning; an evaluation layer: dynamically updating the probability of fault tree nodes, combining pre-set SSC critical threshold conditions from a materials genome library, establishing a remaining lifetime prediction model, and simulating the remaining lifetime; and a repair layer: automatically triggering a repair mechanism when the quantum signal offset and AI confidence level > 90%, and verifying the repair effect. This application, through the interdisciplinary integration of quantum sensing, materials genome engineering, and industrial AI, constructs a closed-loop system of nanoscale damage detection, dynamic fault tree evaluation, and autonomous repair, solving the technical challenges of difficult nanoscale damage monitoring, poor dynamic evaluation adaptation, and delayed repair response in traditional turbochargers under extreme conditions of high sulfur, high pressure, and high volatility.

The invention refers to a quantum sensor device for measuring a magnetic field using fluorescence dependence on the magnetic field, the quantum sensor device (18) comprising a substrate made of single-crystal diamond, and nitrogen atoms in the substrate, the nitrogen atoms being partially present in the form of negatively charged nitrogen-vacancy (NV-) centres, wherein a ratio of the concentration of NV- centres to the concentration of the nitrogen atoms in the substrate is at most 14%.

A nuclear magnetic resonance sensor applies a high frequency magnetic field based on an RF signal to a target and generates an observation signal with a frequency shifted from that of the RF signal by a frequency of an NMR signal. A mixer generates an IF demodulation signal including the NMR signal. A low-pass filter passes a low frequency component of the IF demodulation signal. In a digitizing device, a physical field generator generates a magnetic field corresponding to the IF demodulation signal passed through the low-pass filter, an optical quantum sensor generates light corresponding to the magnetic field by a sensing member and converts the light into a sensor signal by a photoelectric element, and an analog / digital converter digitizes the sensor signal. The optical quantum sensor performs a quantum operation on the sensing member and causes the sensing member to generate the light corresponding to the magnetic field.

The present application belongs to the technical field of magnetic suspension motor, and discloses a magnetic suspension bearing gap online measurement device and a compensation method. The method comprises the following steps: deploying a quantum and eddy current sensor array on the inner wall of a magnetic suspension bearing stator, and correspondingly arranging a surface acoustic wave sensor inside the stator. A scanning signal is injected into the eddy current array, real-time complex impedance is collected, and a differential signal with a baseline is calculated. Real-time characteristic fingerprints are obtained by analysis, and phase changes are determined by comparing a phase change fingerprint library. When the phase changes, a quantum sensor is used to calculate a reference deviation, generate a local space correction field, and obtain a correction amount of each eddy current sensor by interpolation. The surface acoustic wave sensor collects signals to analyze stress and temperature gradient, establishes a feedforward compensation model to calculate a gap compensation amount, and obtains a corrected gap value in combination with the correction amount. The present application realizes the real-time, accuracy and stability of gap data under dynamic operation, avoids rotor instability, equipment vibration intensification and bearing wear caused by inaccurate gap monitoring, and ensures long-term reliable operation of the magnetic suspension bearing.

A quantum sensing method and a quantum sensing device.The quantum sensing method comprises the steps that a calibration measurement data set of a quantum sensor is acquired, the calibration measurement data set comprises corresponding relation data of the end state of the quantum sensor and the intensity of a calibrated physical quantity to be measured under the control of a preset dynamic freezing sequence, and the corresponding relation data of the end state of the quantum sensor and the intensity of the calibrated physical quantity to be measured are acquired; the dynamic freezing sequence comprises a periodic driving sequence and a pulse sequence inserted at a half-periodic point and a full-periodic point of the periodic driving sequence; and initializing the quantum sensor to which the physical quantity to be measured has been applied, controlling the quantum sensor to which the physical quantity to be measured has been applied by using the preset dynamic freezing sequence, reading a final state measurement value of the quantum sensor, and determining the physical quantity to be measured according to the final state measurement value and the corresponding relation data. And obtaining the intensity of the physical quantity to be measured.

Examples relate to a quantum radio frequency (RF) electromagnetic (EM) signal direction finding system. The system includes an arrangement of quantum sensor elements configured to detect RF EM signals, with excitation componentry to optically excite the elements and photodetector circuitry to detect optical emission. A laser system and optical system provide excitation light, while an electronic control and processing circuit receives signals from the photodetector circuitry. The electronic control and processing circuit processes the signals to determine phase differences between elements and calculates an angle of arrival of incoming wireless RF signals.

The application discloses a dam monitoring analysis method and system based on a superconducting magnetic quantum sensor, relates to the technical field of dam safety monitoring and intelligent analysis, and comprises the following steps: constructing a FOC-DFT signal processing combined with a DPD cost function to realize high-resolution positioning of an abnormal source, enhance weak signal extraction and noise resistance, realizing independent extraction of stress, seepage and crack characteristics by combining spatial clustering with PICA blind source decomposition, improving the resolution capability for multi-physical coupling effects, realizing inversion calculation of stress, seepage and magnetic permeability parameters by combining a multi-physical field coupling model with sparse Bayesian inversion and compressed sensing, improving the accuracy of abnormal mechanism analysis, and realizing trend prediction and risk assessment of dam hidden dangers by combining LSTM time series modeling with a comprehensive abnormal scoring mechanism, and improving the foresight and intelligent level of early warning.

The invention provides a current source control method for a quantum sensor and a related device. The current source control method comprises the steps that a DAC module receives a control signal of an MCU and outputs a set voltage VSET; after the voltage VSET is set to be subjected to low-pass filtering, voltage VSET + is generated and acts on the in-phase end of the operational amplifier; filtering the output voltage Vout of the operational amplifier and outputting voltage V; an instrument amplifier is used for collecting voltage flowing through the two ends of the sampling resistor RSENSE and amplifying the voltage; voltage flowing through the two ends of the sampling resistor RSENSE is subjected to low-pass filtering to generate voltage VSET-, and the voltage VSET-acts on the anti-phase end of the operational amplifier; under the action of the negative feedback network, the output voltage VOUT of the operational amplifier is automatically adjusted until VSET + and VSET-are equal; and filtering the final output current to realize the generation of the output current IXOUT. According to the technical scheme, the technical problems that in the prior art, a current source is large in temperature drift, low in precision, poor in long-term stability, prone to being affected by aging and noise, low in bandwidth, lack of digital programmable capacity and inconvenient to adjust are solved.

A device (10a) for imaging a sample (12) including a material that interacts with microwave radiation is provided The device (10a) comprises a sample holder (16) for supporting the sample (12) in a sample area, a quantum sensor device (18) configured to be arranged adjacent to the sample area, the quantum sensor device (18) including colour sensors, an excitation light source (30) configured to generate excitation light for energetically exciting the colour sensors, an optical sensor (32) including a plurality of pixels and configured to generate electronic signals indicative of an intensity of the light emitted by the colour sensors, imaging optics (28) for projecting the sensor area onto the optical sensor (32), a microwave source (20) having a microwave antenna for emitting microwave radiation, the microwave source (20) being configured to generate microwave radiation that is characterized by a plurality of parameters, and a controller (24). The sample holder (16) supports the sample (12) such that the sensor area is in the near-field of the microwave radiation interacting with the sample (12), wherein the controller (24) is configured to vary at least one parameter of the microwave radiation at least between a first value and a second value, record – for each pixel – the electronic signals received from the optical sensor (32) for the microwave radiations generated using the first value and the second value, determine – for each pixel – changes in the electronic signals between the microwave radiations generated using the first value and the second value, and generate an image based on the changes for each pixel, the changes for each pixel indicating variations in the interaction of the microwave radiation with the sample (12).

The invention discloses an electric power forest fire early warning method and device based on a quantum measurement technology. The method comprises the steps that multiple pieces of sensing data of a target position in a power line are acquired through a quantum sensor, and the multiple pieces of sensing data comprise temperature data, gas concentration data and electric field intensity data; based on the multiple pieces of sensing data, determining a forest fire risk level of the target position, the forest fire risk level including a low risk, a medium risk, a high risk or an extremely high risk; and performing early warning operation on the target position based on the forest fire risk level. According to the invention, the technical problems of low monitoring precision, slow response, easy interference and unsafe data transmission in a traditional electric power forest fire early warning method are solved.

The invention belongs to the technical field of structural data processing and disaster prevention and rescue, and particularly relates to a disaster prevention and rescue method, system and device based on quantum computing and a medium. According to the method, multi-mode quantum sensors are arranged at key points to collect data, noise reduction is carried out on the data through a lambda noise reduction filter, feature extraction is carried out on the noise reduction data through a quantum wavelet transform algorithm, dimension reduction is carried out on the data subjected to feature extraction through quantum principal component analysis, and high-dimensional space mapping is carried out on the dimension reduction data through a kernel function. Vector classification is carried out on the mapped data; the disaster occurrence probability of the classified data is calculated by using quantum Monte Carlo; the disaster influence range is predicted by using a quantum diffusion model; early warning information is generated according to the probability and the disaster influence range; after the scheme is evaluated and optimized, an emergency scheme is issued, disaster prevention and rescue evaluation is carried out according to data before and after a disaster, and suggestions are provided.

This solid quantum sensor module is provided with: a substrate having a first main surface and a second main surface on the opposite side from the first main surface; a solid element located on the first main surface side of the substrate and having a color center; a light guide plate located between the substrate and the solid element; an antenna for microwave field transmission; a light source that is positioned on the first main surface side of the substrate and emits light having a first wavelength that excites the color center from a ground state to an excited state; and a photodetector that is positioned on the first main surface side of the substrate and detects photoluminescence including a second wavelength emitted from the solid element, the solid element overlapping the microwave field transmission antenna when viewed along the normal direction of the first main surface of the substrate. The light detector does not overlap with the microwave field transmission antenna when viewed along the normal direction of the first main surface of the substrate.

The present disclosure relates to a quantum sensor system for detecting electromagnetic radiation (EM). The quantum sensor comprises an element configured to shape and / or focus the EM radiation to generate an inhomogeneous field distribution in a region; at least two quantum sensors arranged at different locations in the region, each of which comprises a detection volume configured to interact with the EM radiation; at least one detector configured to detect an interaction of the EM radiation with each detection volume, the interaction indicating a power level of the EM radiation at the location of the respective detection volume; and a processor configured to determine a signal characteristic of the EM radiation based on a correlation of the power levels at the locations of the detection volumes.

A vapor cell comprises a cell body and a cell window, which is anodically connected to the cell body. The cell window and the cell body define a vapor cavity designed to contain a vapor comprising a variety of alkali atoms.

The embodiment of the invention provides a security situation awareness method and device, a medium and a program product, and relates to the technical field of threat detection. The method comprises the following steps: acquiring a to-be-tested data set collected for a target system; performing quantum state coding on the to-be-tested data set to obtain corresponding quantum state data; inputting the quantum state data into an exception prediction model to obtain exception prediction information output by the exception prediction model; and determining a threat judgment result of the target system based on the abnormal prediction information. According to the embodiment of the invention, the quantum sensor is deployed, and the quantum technology is used for data coding and processing, so that the problems of low sampling rate and noise interference can be effectively avoided, the feature extraction capability is improved, and the timeliness and accuracy of security situation awareness are improved.

This invention relates to the fields of medical device technology, biosignal processing, and artificial intelligence-assisted diagnostic technology. Specifically, it relates to a non-invasive dynamic monitoring system and method for gastric function based on quantum sensing and multimodal artificial intelligence. The system includes a quantum dot biosensor array, a multimodal signal fusion processor, an artificial intelligence dynamic evaluation algorithm, and a cloud-based collaborative diagnostic platform. The quantum sensor uses graphene quantum dot material and achieves 128-channel parallel acquisition through capacitive coupling. In this invention, by setting up the quantum dot biosensor, the sensitivity reaches the single-photon level, the resolution is 0.1μV, the frequency response range is 0.01-100Hz, and the anti-interference capability is 90dB common-mode rejection ratio, thus improving signal acquisition accuracy and anti-interference capability.