201 results about "Quantum sensor" patented technology

The technology relates to enhancing performance of quantum sensor operation in a noisy environment. Quantum neural networks are used to pre- and post-process analog signals to which qubits of a quantum sensor are exposed. Intra-processing using additional quantum neural networks may also be employed. This approach filters out noise from both the input analog signal and the system itself to achieve a very high signal to noise ratio. This permits the system to detect induced dynamics associated during exposure of the qubits to the analog signals. This enables the quantum sensor to sense a change in a state of a system under test, which can be beneficial for areas such as imaging, magnetometry, sensing electric fields, optomechanical sensors, quantum radar and other areas where enhanced signal to noise ratios are desired.

The invention relates to the technical field of water quality pollution detection, in particular to a water quality pollution rapid detection method driven by a quantum sensing technology. A quantum sensor array is deployed in a water area to be detected, and quantum signal response data of the water area is collected; constructing a pollutant quantum recognition model, and inputting quantum signal response data into the model to obtain an initial predicted value of pollutant concentration; generating an initial detection parameter of the quantum detection instrument based on the initial predicted value, executing primary pollution detection by the instrument according to the parameter, and collecting primary deviation data of an actual detection value and an expected detection value; determining a detection error according to the deviation data, further correcting the initial detection parameter, and generating an optimized detection parameter; and finally, the instrument performs secondary pollution detection based on the optimized detection parameters. According to the method, complex water sample pretreatment is not needed, water quality pollution detection can be rapidly and accurately completed, detection requirements of different water areas are met, and the detection efficiency and accuracy are improved.

The invention discloses an intelligent peak regulation method with optimized combination of energy storage and conventional peak regulation means, and the method comprises the following steps: building a holographic situation awareness layer: capturing the voltage, current phase angle and frequency deviation of a power grid, and monitoring the pressure fluctuation in a diesel engine cylinder; data transmission and preprocessing: encrypting data of the miniature phasor measurement unit and the quantum sensor by using a quantum key distribution technology; the self-adaptive decision engine is used for performing Nash equilibrium calculation by utilizing a federal reinforcement learning architecture, through a local Agent based on a power generation / energy storage unit state autonomous optimization control strategy and in combination with a digital twin platform, solving multi-target conflicts of economy, reliability and carbon emission, and generating a global optimal scheduling instruction; the execution control layer is used for tracking resonance points and dispersing harmonic energy spectrums; dynamic topology reconstruction: a harmonic source is positioned by using a digital twin platform, and the topology of the energy storage system is automatically switched according to the harmonic frequency and position; continuously optimizing the digital twin platform; and full-process closed-loop feedback and self-learning are carried out.

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.

The invention belongs to the technical field of power equipment monitoring, and discloses a quantum sensing and MEMS sensing integrated partial discharge detection device and method. Partial discharge signals are collected through the quantum sensor and the electric field sensor; the data acquisition card transmits data to the microprocessor, the microprocessor judges the discharge type by using a wavelet transform method, extracts characteristic parameters, transmits the data to the computer, analyzes and determines calculation weights of different sensors according to the characteristic parameters to perform data fusion, and calculates and displays the partial discharge electric field intensity. According to the method, data fusion of the quantum sensor and the MEMS sensor is realized, more comprehensive and accurate information is provided, the source and characteristics of partial discharge can be better identified, the diagnosis accuracy and the reliability of a detection system are improved, false alarm and missing alarm are reduced, and reliable data are provided for the operation state, fault diagnosis and maintenance of power equipment.

In one form of the present disclosure, a quantum sensor comprises a quantum device. The quantum device comprises gallium nitride (GaN) with a color center with a zero-phonon line (ZPL) between about 900 nanometers (nm) and about 990 nm. The GaN can be doped with silicon (Si) and have low carbon (C) and oxygen (O) impurities. In one example, the quantum device is GaN doped with about 1016 atoms of Si per cm3, having less than about 8×1015 C atoms per cm3 and less than about 6×1015 O atoms per cm3, and a Ga vacancy density less than about 1016 vacancies per cm3.

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.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for valuing and or authenticating property. An example system includes a sensor system and a computer system. The sensor system includes one or quantum sensors, and is configured to generate first sensor data representing one or more molecular properties of a first object at a first time. The computer system is configured, at least, to: receive the first sensor data from the sensor system; obtain model data representing one or more molecular properties of a model object; generate, based on the first sensor data and the model data, a comparison between the one or more molecular properties of the first object at the first time and the one or more molecular properties of the model object; and determine an authenticity of the first object based on the comparison.

The invention provides an installation and adjustment control system of a quantum sensing device, which belongs to the technical field of sensors and comprises a device installation and adjustment device arranged on a workbench. Each device assembling and adjusting device comprises a light intensity detection module and a multi-degree-of-freedom adjusting mechanism, the light intensity detection module is used for collecting light intensity signals of emergent light generated when incident light sequentially penetrates through the first assembly and the second assembly, and the multi-degree-of-freedom adjusting mechanism is used for adjusting the position of the first assembly from multiple degrees of freedom. Outputting a light intensity optimization control signal, or generating dispensing control data of the device assembling and adjusting device of the channel to be assembled and adjusted and storing the dispensing control data into a dispensing sequence, and taking out the dispensing control data from the dispensing sequence by the high-precision dispensing control units which run in parallel; and controlling the dispensing three-axis motion assembling module to assemble a target first assembly and a target second assembly of the target device assembling and adjusting device. According to the invention, a cross-domain coupling system of light intensity optimization and dispensing control is constructed, and multi-channel parallel installation and adjustment of the quantum sensor are realized.

The invention provides a material quality detection method and device based on quantum sensor detection, and the method comprises the steps: obtaining an original quantum sensing data sequence collected by a quantum sensor in a material detection scene, carrying out the multi-dimensional feature conversion of the original quantum sensing data sequence, generating a quantum feature set reflecting the internal structural features of a material, and carrying out the detection of the internal structural features of the material; and calling a pre-trained defect diagnosis model to perform defect mode analysis processing on the quantum feature set, outputting defect probability distribution information and defect type confidence information in the material, and determining defect positioning information and defect type classification information of the material based on the defect probability distribution information and the defect type confidence information. And according to the defect positioning information and the defect type classification information, generating a quality detection report containing a defect space distribution diagram and a type analysis table. According to the invention, the comprehensiveness, accuracy and processing efficiency of material internal defect detection can be improved.

Examples relate to the field of radio frequency (RF) signal processing such as classifying RF signals with low latency. The method involves receiving portions of an RF signal, transforming these portions into a time-resolved frequency representation using a continuous wavelet transform, and processing this representation with a recurrent neural network. The neural network modifies a neural network state incrementally to generate a classification output, which may include modulation classification, signal-to-noise ratio (SNR) classification, or jamming detection. The system achieves sub-millisecond inference latency through techniques such as model quantization and batch size optimization. Principal uses include real-time RF signal analysis and jamming detection, with applications in communication systems and environmental monitoring. The RF signal may be received from a quantum RF sensor based on Rydberg atoms, enabling broad frequency range detection.

The invention discloses a deep learning switching-on safety risk assessment system and method fused with multi-source information, and relates to the technical field of switching-on safety risk assessment, the deep learning switching-on safety risk assessment system fused with the multi-source information and the method thereof realize accurate assessment of the switching-on safety risk of a circuit breaker through fusion of quantum and classical technologies, and improve the safety of the circuit breaker. Various beneficial effects are achieved; in the aspect of data acquisition, a quantum sensing array acquires microscopic quantum data in equipment, a classical module synchronizes SCADA system data, a multi-dimensional acquisition system is formed, and comprehensive information is provided; during data processing, a quantum-classical hybrid processor combines quantum convolution and a space-time attention mechanism to improve feature extraction efficiency and precision; in risk prevention and control, a risk decision engine scientifically and accurately evaluates the risk, an adaptive locking controller is quick in response, and the fault probability is reduced; meanwhile, the system guarantees stable and reliable operation through quantum noise compensation, high-fidelity quantum state transmission, data synchronization and other measures.

The invention relates to the technical field of high-temperature pressure pipeline state monitoring, and discloses a quantitative detection method for oxide skin accumulation in a pipeline, electromagnetic response of the pipeline is excited through a multi-band composite detection signal, and multi-physical field characteristic data is collected in combination with a quantum sensor array. And an improved Bayesian regularization algorithm is adopted to realize oxide skin thickness inversion, and a crack propagation model is constructed to carry out residual life prediction. A dynamic reference calibration technology is innovatively introduced, and environmental interference is suppressed through a temperature-frequency drift compensation model and space-time coding. The system comprises a multi-channel data fusion module, a three-dimensional visualization module and a self-diagnosis unit, and realizes closed-loop processing from signal acquisition to state evaluation. And reconstructing thickness distribution by adopting radial basis function interpolation, and generating a maintenance decision in combination with the risk level matrix. According to the method, the problems of insufficient precision and weak anti-interference capability of a traditional detection method are solved, and the reliability and the intelligent level of high-temperature pipeline state monitoring are remarkably improved.

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.

The invention belongs to the field of quantum precision sensing and measurement, and provides an optical fiber collimator applied to an atom magnetometer and an assembly method of the optical fiber collimator. The optical fiber collimator applied to the atom magnetometer comprises a polarization-maintaining optical fiber pigtail, a lens, a laser homogenizing wave plate, a circular polarization polarizer, a diaphragm and a sleeve, the lens is arranged on the downstream of the polarization-maintaining optical fiber pigtail, the lens is an aspheric lens, the laser homogenizing wave plate is provided with a homogenizing area, the polarization axis of the circular polarization polarizer coincides with the polarization axis of emergent light of the lens, and the diaphragm is arranged in the sleeve. The light source is used for generating circularly polarized light, the diaphragm is used for limiting the shape of an emergent light spot, and the sleeve is used for installing the polarization-maintaining optical fiber pigtail, the lens, the laser homogenizing wave plate, the circular polarization polarizer and the diaphragm. The atomic polarization uniformity can be effectively improved, the response signal of the atom magnetometer is improved, the signal-to-noise ratio of the quantum sensor system is improved, and the quantum sensor system is suitable for being used in a high-precision measurement scene.

The invention relates to the technical field of power transmission and distribution equipment management, and discloses an intelligent management system for power transmission and distribution equipment, and the system comprises a quantum sensor array which is disposed at a key node of the power transmission and distribution equipment, and is used for collecting quantum-level physical quantity data; the tensor processing module receives the data acquired by the quantum sensor array, preprocesses the data, and constructs and decomposes a cross-scale space-time tensor based on the processed data; the dynamic twin module is used for receiving the output of the tensor processing module and constructing an equipment state model with physical information constraints; the hypergraph optimization module is used for receiving the prediction result of the dynamic twin module, carrying out multi-system collaborative optimization and outputting an optimization result; and the feedback control module is used for converting the optimization result into an equipment control instruction and implementing closed-loop feedback. According to the method, through dynamic twin modeling fusing classic physical field equation constraint and quantum state entropy constraint, the overfitting problem of a pure data driven model is solved.

The invention discloses an aircraft control method and device based on sensing and communication integration, equipment and a storage medium, and the method comprises the steps: generating a sensing and communication integration shared waveform based on an obtained sensing symbol frequency modulation sequence, a communication symbol sequence and a symbol period under the condition of triggering an aircraft sensing instruction; the sensing frequency modulation sequence is corrected according to the quantum sensor, the symbol period is corrected according to the quantum radar, and the sensing and communication integrated shared waveform is updated based on the correction result; and determining an interference signal, an interference frequency point and an encryption key corresponding to the aircraft, fusing the interference signal, the interference frequency point and the encryption key with the updating result of the sensing-communication integrated shared waveform, and generating an aircraft sensing-control waveform for performing sensing positioning and interference control on the aircraft. The purpose of effectively controlling the multi-band adaptive aircraft can be achieved, and the control flexibility of the aircraft and the utilization rate of system resources are improved.

The invention relates to a quantum sensor (1), in particular for magnetic field measurement, comprising: a sensor element (4) in the form of a crystal doped with color centers (5), in particular a diamond crystal doped with NV centers, wherein the color centers (5) are designed to generate fluorescent light (7) upon excitation with excitation light (6), a carrier substrate (2) having a surface (2a) to which the sensor element (4) is attached, and a detector (8), in particular a photodiode, for detecting the fluorescent light (7). In the quantum sensor (1), the carrier substrate (2) has a waveguide (3) for supplying the excitation light (6) to the sensor element (4).

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.

This invention provides a beam-deflecting metasurface and a quantum sensor. The beam-deflecting metasurface includes a metasurface array, which in turn includes metasurface units. Each metasurface unit comprises a substrate unit block and a copper ring. In any metasurface array, the outer diameter of the copper ring is uniform. By changing the inner diameter of the copper ring, the transmission phase of the corresponding metasurface unit is altered. The beam-deflecting metasurface of this invention effectively controls the coupling and probe beams frequently used in quantum sensors, preventing the probe beam from being affected by the coupling beam. The overall structure is simple, and the cost of the beam-deflecting metasurface is low, enabling the quantum sensor to have a wide range of applications. Because the copper ring has a symmetrical structure, it is polarization-independent. For both the probe and coupling beams, the transmittance of the beam-deflecting metasurface remains above 90%, ensuring efficient transmission of the required optical signals.

A sensor apparatus for determining and / or monitoring a process variable of a medium in a containment includes: a crystal body including at least one defect; a magnetic field system for producing a magnetic field in the region of the crystal body and in the region of the medium within the containment, wherein the crystal body and the magnetic field system are arrangeable from the outside at a wall of the containment; a detection unit for detecting a magnetic field-dependent, fluorescent signal from the crystal body, wherein the detection unit has an excitation unit for optical exciting of the defect and a detector for detecting the fluorescent signal; and an evaluation unit for ascertaining at least one piece of information concerning the process variable based on the fluorescent signal.

A vapor cell includes a cell body and a cell window anodically bonded to the cell body. The cell window and the cell body define a vapor cavity configured to contain a vapor comprising a plurality of alkali atoms.

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 preparation method and application of a directional NV color center diamond layer for vector magnetic field measurement, and aims to solve the technical problems of measurement signal anisotropy attenuation, sensitivity reduction and the like caused by a randomly oriented NV color center in a diamond quantum magnetic sensing system based on the NV color center. The preparation method comprises the following steps: 1, pre-treating a seed wafer in mixed acid; 2, carrying out etching treatment by using hydrogen plasma; 3, introducing nitrogen, methane, oxygen and hydrogen into the vacuum cavity, controlling process parameters such as gas concentration, growth temperature and pressure intensity, and carrying out microwave plasma chemical vapor deposition growth; 4, cooling; 5, cutting off polycrystals; and 6, annealing treatment. According to the NV color center coherence time field grown by the preparation method, the orientation rate can reach more than 80%, the orientation high-sensitivity measurement of the vector magnetic field can be realized by accurately controlling the spatial orientation distribution of the NV color center, and the detection performance of the quantum sensor is remarkably improved.

The embodiment of the invention provides a quantum sensor multi-detector array fault diagnosis method and device. The method comprises the following steps: acquiring original signal data of a marked fault type of a quantum sensor multi-detector array; preprocessing the original signal data, and constructing a fault diagnosis data set; training the CatBoost model by using the fault diagnosis data set, and performing hyper-parameter optimization on the CatBoost model by using an improved sparrow search algorithm fusing a genetic algorithm and a particle swarm optimization algorithm in the training process; and performing fault diagnosis on the quantum sensor multi-detector array by using the trained CatBoost model. In this way, fault features can be effectively extracted by combining CatBoost model training and using an improved sparrow search algorithm to carry out hyper-parameter optimization, high-precision and real-time fault diagnosis is achieved, and then the fault diagnosis effect is improved.

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.