530 results about "Quantum state" patented technology

The present technology pertains to systems and methods for one-way authentication of quantum channels. A transmitter generates an entangled quantum state comprising a first state and a second state, modulates the second state according to a clock-synchronized pattern, and transmits it through a quantum channel to a receiver. The first state is retained and measured at the transmitter to extract quantum-state information. Authentication is performed based on this information, without requiring feedback from the receiver. The quantum-state information may be derived using quadrature measurements, Gaussian tomography, or other statistical analyses to detect whether the second state underwent irreversible interactions such as eavesdropping or decoherence. The system enables secure unidirectional quantum authentication, reduces protocol complexity, and supports real-time anomaly detection. It is compatible with continuous-variable quantum states, quantum key distribution (QKD), and scalable communication architectures.

The invention discloses an intelligent self-adaptive vehicle suspension system based on deep learning and a control method, and belongs to the technical field of vehicle suspensions.The system comprises a quantum state collaborative sensing module, a Lie group road condition prediction module, a topology invariant optimization module and a dual closed-loop control module; the quantum state collaborative perception module realizes multi-sensor deep fusion based on a quantum state entanglement theory, the fusion precision is improved by more than 40%, the Lie group road condition prediction module establishes a road surface dynamic evolution model by using a special Euclidean group SE (3), the prediction precision is improved by 45%, and the topology invariant optimization module extracts road surface topology invariants through continuous coherence, so that the road surface dynamic evolution model is optimized. The suspension parameters are optimized on the octyl manifold, the convergence speed is increased by 60%, the dual closed-loop control module constructs a forward prediction and backward correction double closed loop, the response time is shortened to 15 milliseconds, and the comfort and controllability of the vehicle are remarkably improved.

The present subject relates to a method for proving a statement describing a functionality of an electronic circuit, using a quantum computer and a proof assistant.The procedure comprises: encoding a current proof state into a vector of real numbers of a fixed length, where the current proof state defines a task to prove at least part of the statement; encoding the vector into a quantum state of a quantum system of the quantum computer; using the quantum state as an input quantum state by a quantum machine learning model to provide an output quantum state, the measurement of which constitutes a proof step for the defined task; measuring the output quantum state, thereby obtaining the proof step for the defined task; providing the proof step to the proof assistant; and receiving a next proof state from the proof assistant in response to the provision of the proof step.

The invention belongs to the field of quantum computing, and particularly relates to a distortion correction optimization method and device for a quantum measurement and control link, and the method comprises the steps: applying a frequency control signal for loading a target pre-distortion waveform on a to-be-corrected quantum measurement and control Z link; setting a first logic gate for quantum state operation on an XY control line of the selected quantum bit; obtaining the fidelity of the quantum state output by the selected quantum bit; in response to the fact that the fidelity does not reach the preset standard, updating the pre-distortion waveform, and returning to execute a frequency control signal for applying and loading the target pre-distortion waveform signal on the quantum measurement and control Z link to be corrected; and setting a first logic gate for quantum state operation on an XY control line of the selected quantum bit until the fidelity reaches a preset standard. According to the invention, distortion correction can be rapidly and effectively carried out.

Provided are computer-implemented methods and quantum computing systems for preparing computational states representing quantum states of a physical system, including performing a computational evolution of the state and then determining physical properties of the system using the time-evolved computational state. Hamiltonian dynamics of observables are computed on a quantum computer to provide information about the physical system represented by the Hamiltonian. Low energy electronic structure states of a physical system are prepared using adiabatic evolution. The energy of an equilibrium quantum state of a physical system is determined using a time-evolution operator. The energy of an eigenstate of a physical system is indirectly determined by evaluating expectation values of a time-evolution operator averaged across multiple shots for randomly-generated quantum circuits. Example methods enable calculation of the energy of an evolved computational state with chemical accuracy, due to avoiding discretization errors, with a smaller circuit depth than known alternatives.

The invention discloses an implementation method of a quantum logic gate and a quantum computer system. The method comprises the following steps: preparing a quantum bit to a preset initial quantum state; according to the Hamiltonian corresponding to the quantum logic gate, respectively generating microwave signals corresponding to each segment in the Hamiltonian; the Hamiltonian of the quantum logic gate comprises at least two segments, and the at least two segments are used for enabling quantum bits to generate at least one polarity reversal in evolution; the generated microwave signals corresponding to all the segments are spliced; and applying a spliced microwave signal to the quantum bits in the initial quantum state, so that the quantum bits evolve from the initial quantum state to a target quantum state. According to the invention, the quantum bit can generate at least one polarity change in evolution, partial phase dispersion is offset by using the polarity characteristic of 1 / f noise, decoherence is inhibited, and the fidelity of the single-bit quantum logic gate is further improved.

To provide a quantum hash value generation system with quantum resistance, a quantum hash value generation method, and a blockchain network.SOLUTION: A quantum hash value generation system 1 includes a quantum state generator 2 configured to generate an input quantum state based on input data composed of an input bit string including a plurality of input bits, a quantum device 4 configured to convert the input quantum state into an output quantum state, a quantum measuring instrument 5 configured to acquire measurement values of the output quantum state by measuring the output quantum state, a measurement value analysis unit 320 configured to calculate a statistical index of the measurement values based on a probability distribution of the measurement values, and a quantum hash value generation unit 340 configured to generate a quantum hash value of the input data based on the statistical index of the measurement values.SELECTED DRAWING: Figure 1

The invention provides a quantum measurement and control system supporting global feedback. The quantum measurement and control system comprises a plurality of measurement and control devices which are connected in a tree structure. The measurement and control equipment in the tree structure comprises feedback board cards and a control chip, the feedback board card located at a root node obtains board card configuration parameters through a first transmission port, and the feedback board card located at a child node receives the board card configuration parameters from a second transmission port of the feedback board card of an upper-level node through a second transmission port; the feedback board card is used for sending a feedback signal to the control chip based on the board card configuration parameters and generating board card configuration parameters associated with the child nodes; the control chip is used for responding to the feedback signal to generate a regulation and control waveform signal of the quantum bit, providing the regulation and control waveform signal to the quantum computer, receiving a quantum state signal fed back by the quantum computer, processing the quantum state signal and providing a processing result to the feedback board card; and the feedback board card is also used for receiving a processing result provided by the control chip and a processing result provided by the measurement and control equipment of the next node.

To provide a system and a method for detecting and mitigating a hostile attack for an AI agent by using the principle of quantum mechanics.SOLUTION: In a system 100, a defense module for detecting a hostile attack for a trained AI agent, generates output data of the AI agent based on input data provided for the AI agent via a network, generates a matrix having a quantum state to be a reference based on ground truth input data, generates output data of the AI agent based on the ground truth input data, generates an output quantum state on the basis of the output data, generates a quantum state for each line of the grid matrix having a quantum state to be the reference, and executes a quantum-based abnormality classification for the acquired data on the basis of the generated output quantum state, and the quantum state generated for the grid matrix having the quantum state to be the reference.SELECTED DRAWING: Figure 1

A time sequence post-synchronization quantum key extraction penetration test method comprises the following steps: A) under the condition of penetration test, a QKD system operates normally, and a sending end and a receiving end smoothly complete key distribution; b) the man-in-the-middle selects an initial original key exchange period to establish synchronization and correlation so as to realize clock synchronization with a receiver; c) analyzing quantum bit error rate information obtained from a public channel by a man-in-the-middle, deducing a corresponding relation between a receiver detector and each quantum state, and establishing a mapping model of the quantum states and bit values; d) determining a quantum state type responded by the receiver in each response time slot in a subsequent original key exchange period by the middleman in combination with path information obtained by other sub penetration tests; and E) the intermediary obtains a final key which is the same as the two communication parties by implementing an error correction and privacy amplification process, the quantum bit error rate between the intermediary and the sender is maintained at a relatively low level and is lower than a security threshold, and a security alarm is not triggered in a penetration test process.

The invention relates to the technical field of IT support, and provides a time sequence processing method, device and equipment adopting a quantum pulse neural network, and the method comprises the steps: obtaining time sequence data which comprises network alarm data, network equipment performance index data and network operation and maintenance work order data; encoding the time sequence data into a first quantum state by using a quantum preprocessing layer, inputting the first quantum state into a pulse neural network layer, converting the first quantum state into a time sequence pulse sequence, and processing the time sequence pulse sequence to obtain an output result; by utilizing a quantum attention enhancement mechanism, calculating attention weight of an output result in a quantum state space, and weighting to obtain a second quantum state; and decoding the second quantum state by using the hybrid decoding layer to obtain a final prediction result. The final prediction result is used for realizing fault root cause positioning, abnormal work order identification or network service quality prediction. According to the method, the parallelism of quantum calculation and the superposition characteristic of the quantum state are utilized, and the calculation efficiency can be improved when large-scale time sequence data are processed.

The invention relates to the technical field of power system energy storage optimization, and discloses a terminal micro-grid energy storage optimization configuration method and system and a computer readable storage medium. Comprising the steps of generating load demand probability distribution and a new energy output confidence interval through deep learning and Bayesian probability modeling based on historical load and new energy monitoring data, extracting boundary parameters and mapping the boundary parameters into a quantum state initial solution set, and generating a quantum coding instruction set; a quantum algorithm population is initialized, a non-dominated solution set sequence is generated through quantum gate evolution operation, and a Pareto leading edge output optimization configuration scheme is screened; verifying feasibility in combination with local voltage data, and generating an executable control instruction set after fine tuning of capacity-position weight; and driving the energy storage unit to execute charging and discharging operation, collecting operation data, updating model parameters, finally separating probability weights and quantum deviations, adjusting a Bayesian model and resetting quantum gate parameters to generate a calibration instruction set. According to the invention, the energy storage configuration efficiency and precision can be obviously improved.

The invention belongs to the technical field of power system monitoring and fault diagnosis, and particularly relates to a power fault signal denoising method and equipment. The method comprises the following steps: firstly segmenting a noisy signal, and mapping each sampling point into a superposed quantum state representing two possibilities of a fault and noise; secondly, generating attention distribution by analyzing local uncertainty, mutation degree and spectral characteristics of the signal, and guiding intelligent collapse of the quantum state according to the attention distribution to obtain a preliminary identity mark; then, multi-scale singularity features are extracted through continuous wavelet transform, and by verifying the physical propagation law of a modulus maximum chain, the preliminary marks are corrected and refined, real fault points are strengthened, and noise pseudo features are removed; and finally, reconstructing and fusing signals based on the refined state. The method has the adaptive focusing capability of data driving and the reliability of physical verification, and can extract weak fault transient characteristics in a high-fidelity manner under a strong noise background.

A method of method of classifying data is disclosed. The method comprises manipulating quantum states of qubits of a quantum computing device based on a first copy of a test vector, a second copy of the test vector, a first training vector and a second training vector, so as to load a modified first copy of the test vector, a modified second copy of the test vector, a modified first training vector and a modified second training vector onto the quantum computing device, wherein the magnitude of the angle between the modified first copy of the test vector and the modified first training vector is equal to the magnitude of the angle between the first copy of the test vector and the first training vector, and where the magnitude of the angle between the modified second copy of the test vector and the modified second training vector is equal to the magnitude of the angle between the second copy of the test vector and the second training vector. The method also comprises performing quantum interference between the modified first copy of the test vector and the modified second copy of the test vector, and the modified first training vector and the modified second training vector, to provide modified quantum states of the qubits, performing a measurement on one or more of the qubits, and classifying the test vector based on the measurement.

The invention discloses a transnational trust modeling method fusing quantum state mapping and language phase difference, comprising the following steps: 1) estimating the site of each country based on the voting data of the united countries, and calculating the trust weight between countries through a weighting function in combination with the political ideal point distance and voting consistency of each country to obtain the initial quantized value of transnational trust; 2) mapping the initial trust value to a quantum state on a Bloch ball, applying phase perturbation according to semantic difference reported by a core country media, and simulating trust interaction between countries under discourse difference in combination with a quantum game mechanism so as to obtain a trust value mapped back to a classical space; and 3) carrying out iterative updating on the trust value by adopting a social influence model, dynamically describing an evolution process of the trust relationship between the countries, and outputting a time sequence change result of the trust network between the countries. According to the method, by fusing the international voting behavior and the transnational utterance difference, dynamic and quantifiable modeling of the inter-country trust relationship is realized, and an innovative methodological support is provided for international relationship research, transnational strategic game analysis and global risk early warning.

The invention discloses a signal encryption method and device based on quantum key distribution, and relates to the technical field of satellite navigation, and the method comprises the steps: building a quantum key distribution system based on a plurality of interconnected quantum key servers, and enabling a user communication terminal to be connected with a nearby quantum key server; the communication relay unit performs basis vector comparison on the quantum state data of the satellite and the ground station through a key distribution protocol to generate a quantum key; the key distribution unit dynamically updates the quantum key and distributes the quantum key to the user communication terminal; the user communication terminal encrypts the satellite navigation data by using the quantum key to obtain an encrypted data packet, and sends the encrypted data packet to the receiving end through the communication relay unit; and the receiving end decrypts the encrypted data packet based on the quantum key to obtain the satellite navigation data. According to the method, the generation rate of the quantum key can be improved, the anti-interference performance of the quantum key distribution system in a complex environment is enhanced, and the stability and reliability of the quantum key distribution system are ensured.

A system for data content feature extraction and evaluation using a hybrid quantum and classical neural network is disclosed. The system receives an input vector that represents digital content and generates a first quantum state vector for the input vector. The system generates a second quantum state vector by performing a quantum convolution operation on the first quantum state vector. The system initiates a second feature vector by mapping each quantum bit within the second quantum state vector to a respective numerical value. The system generates an output feature vector by performing a convolution operation on the second feature vector. The system evaluates the output feature vector by comparing the output feature vector with an expected vector. The system determines that the output feature vector corresponds to the expected vector. In response, the system determines that the output feature vector represents the digital content.

The invention discloses an unmanned sweeping robot navigation method based on multi-sensor fusion, and belongs to the technical field of sweeping robots. According to the method, an environment sensing system is constructed through multi-source sensor fusion, and efficient path planning and obstacle avoidance decision making in a dynamic environment are realized in combination with a quantum heuristic behavior decision engine; a traditional decision problem is converted into quantum state superposition operation through a quantum state probability amplitude model, and dynamic coupling of environment perception and a task target is achieved through the joint effect of a complex phase angle and a weight coefficient; and the dynamic collapse equation improves the adaptive capacity of behavior selection. The sweeping efficiency, safety and environment adaptability of the sweeping robot in a complex dynamic environment are remarkably improved, and the sweeping robot is suitable for various scenes such as families and offices.

The invention relates to the technical field of key distribution, in particular to a multi-cloud architecture-oriented dynamic key fragmentation storage management method and system, which comprises the following steps of: dividing a manufacturing process of the manufacturing industry into a plurality of time sequence stages corresponding to different data access authority levels and security requirements, and constructing corresponding quantum state evolution operators; driving the key state to evolve among different time sequence stages through a quantum state evolution operator according to the progress of the manufacturing process, and adjusting the access authority of the key; quantum entanglement connection is established between supply chain nodes, the trust degree between the nodes is measured and quantized through the association of the quantum entanglement state, and the distribution weight of the key fragments is adjusted based on the change of the trust degree; collecting constraint parameters of production takt, equipment state, logistics delay and quality index in the manufacturing process, and converting the constraint parameters into quantum state constraint conditions; and when it is detected that the constraint condition changes, recalculating the key fragment distribution scheme based on the quantum state constraint condition and the credibility, and synchronously distributing the key fragment distribution scheme to each supply chain node.

The invention discloses a quantum phase-locked detection method based on entanglement enhancement, and the method comprises the steps: encoding quantum bits in a ground state and an excited state, and preparing the quantum bits into an initialized quantum state; loading a periodic multi-pulse sequence to act on the quantum bits; and loading a carrier pulse resonating with the ground state and the excited state, detecting the final quantum state of the quantum bit, and comparing curves of each component of the measurement density matrix and the theoretical density matrix changing along with the pulse time interval of the periodic multi-pulse sequence to obtain the half cycle and the amplitude of the sine wave to be measured. According to the method, measurement noise under the condition that the rotation angle and the detuning error exist can be effectively restrained, high measurement precision is kept under the condition that the rotation angle and the detuning error exist, and the robustness enables the method to be more reliable in practical application.

Provided are computer-implemented methods and quantum computing systems for preparing computational states representing quantum states of a physical system, including performing a computational evolution of the state and then determining physical properties of the system using the time-evolved computational state. A described computer-implemented method enables computing Hamiltonian dynamics of observables on a quantum computer to provide information about the physical system represented by the Hamiltonian. A described computer-implemented method prepares low energy electronic structure states of a physical system using adiabatic evolution. The method determines the energy of an equilibrium quantum state of a physical system using a time evolution operator that enables adiabatic evolution of a prepared electronic structure state on a quantum computing system. A described method involves indirectly determining the energy of an eigenstate of a physical system by evaluating the expectation values of a time-evolution operator averaged across multiple shots for randomly-generated quantum circuits.

The present disclosure provides a method for searching at least one locally marked element defined by marking parameters within a 2D lattice of a quantum system, wherein the quantum system is operated in discrete time and wherein the 2D lattice is arranged for supporting quantum random walks which are defined by quantum random walk parameters, the method having a pre-set time comprises the steps of calibrating the quantum system by: initializing a quantum state in the quantum system on at least one node; performing one step of the split-step quantum random walk on the quantum state; obtaining probability density information of the quantum state through overlap with eigenstates of a unitary operator; repeating previous two steps to determine quantum random walk parameters based on the highest probability in the probability density information of the quantum state. Thereafter, the method comprises the steps of searching the quantum system for the at least one marked element by: tuning the marking parameters of the at least one locally marked element; initializing a uniformly distributed quantum state on the entire quantum system; performing a plurality of split-step quantum random walks for the uniformly distributed quantum state; after the pre-set time has lapsed, converting the uniformly distributed quantum state of step vii) into an observable.

Systems and methods are described for quantum information retrieval. An example system may include a quantum cloning unit, a photon number splitting (PNS) unit, and a variable-strength measurement unit to enhance the accuracy and reliability of quantum state estimations without introducing substantial decoherence. The quantum cloning unit may be used to generate approximate clones of a qubit. If the information is encoded in a multi-photon state resulting in a multi-photon state qubit, then the photon number splitting (PNS) unit may be used to intercept the multi-photon state and reflect a single photon from the multi-photon state, which may then be subjected to quantum cloning. These qubits and qubit clones may then be subjected to variable-strength measurements, which provides detailed analysis with minor disturbance to quantum properties such as superposition and entanglement.

The invention discloses a two-photon N00N quantum state intelligent regulation and control device and method, and the device comprises an intelligent regulation and control module, and an entangled photon pair generation module, an HOM interferometer and a data collection module which are connected in sequence, and the entangled photon pair generation module transmits polarized orthogonal entangled photon pairs to two light paths in the HOM interferometer respectively; the data acquisition module is used for detecting and counting photons output by the two light paths respectively; the intelligent regulation and control module controls the first electric control time delay line on one light path and the electric control polarization controller on the corresponding light path so as to regulate the light path difference of the two light paths and the polarization state of photons output by the corresponding light path; every time control is completed, a second electric control time delay line on the other light path is controlled to carry out time delay scanning according to a set rule, and a coincidence counting rate and HOM visibility are obtained; and according to the coincidence counting rate and the HOM visibility, determining whether the two-photon N00N quantum state generated under the control is good or bad. According to the invention, intelligent regulation and control of the two-photon N00N quantum state quality can be realized.

The invention discloses a high-precision quantum sensing environment physical quantity real-time monitoring system and method, and belongs to the technical field of environment monitoring. The system comprises a quantum sensing front end, a signal excitation and regulation module, a quantum classical hybrid computing engine, an edge cloud collaborative transmission module and a terminal application module. The quantum sensing front end adopts a quantum entanglement sensing array integrated by NV color center diamond and a rubidium atom gas chamber to synchronously sense a magnetic field, temperature, pressure and vibration; the signal excitation and regulation module optimizes regulation parameters and inhibits noise through a quantum optimal control algorithm; a quantum-classical hybrid calculation engine is combined with a quantum neural network and classical multi-algorithm collaboration to realize efficient resolving and data fusion of quantum state features. According to the invention, the monitoring precision, the real-time response speed and the anti-interference capability are obviously improved, synchronous monitoring of multiple physical quantities is supported, and the system is suitable for various scenes such as industry, scientific research and deep space exploration, and has wide application value.

The invention discloses a method for generating an amplitude preparation circuit and a quantum state preparation method and device, and the method comprises the steps: setting a main diagonal element of a block matrix as a to-be-prepared amplitude, and setting other elements as 0, so that the block matrix is equivalent to a diagonal matrix, thereby facilitating the construction of a unitary matrix through employing the block matrix, and in the unitary matrix, the unitary matrix is not damaged; the to-be-prepared amplitude is arranged at the upper left corner of the unitary matrix, so that the amplitude preparation of the to-be-prepared quantum state can be carried out by utilizing a circuit corresponding to the unitary matrix, and the preparation of the to-be-prepared quantum state by utilizing a large-scale operator can also be understood, thereby being beneficial to more efficiently and accurately preparing the to-be-prepared quantum state.

The invention relates to a feature selection method, a feature selection device, electronic equipment and a storage medium, and the method comprises the steps: inputting a target data set into a constructed quantum multi-core circuit for feature mapping, and obtaining an output quantum state of the target data set; performing quantum measurement on the output quantum state to obtain a target quantum kernel matrix corresponding to each data feature in the target data set; taking the target quantum kernel matrix corresponding to each data feature as the input of a target function of nonlinear multi-kernel feature selection, and performing optimization solution on the target function to obtain a target feature selection vector; wherein the objective function is constructed based on a quantum kernel matrix, a feature selection vector, a data set class label, a deviation item and orthogonal limitation; and according to the target feature selection vector, determining a target feature subset in the target data set. According to the method, feature selection based on a non-linear relationship of data can be realized, so that the accuracy of feature selection is improved.

Methods and systems for controlling a system of superconducting qubits using single flux quantum (SFQ) pulse schedule is provided. The single flux quantum (SFQ) pulse schedule may comprise on-ramp, off-ramp, and resonant parts, wherein the frequency of a single flux quantum (SFQ) pulse clock is at about a multiple of a qubit frequency. The method may include: providing a system of one or more qubits; delivering a single flux quantum (SFQ) pulse to each of the one or more qubits, the single flux quantum (SFQ) pulse being capable of influencing a quantum state of a qubit; obtaining at least one single flux quantum (SFQ) pulse schedule for the one or more qubits, each schedule comprising on-ramp, resonant, and off-ramp parts; and implementing the at least one single flux quantum (SFQ) pulse schedule for the one or more qubits.

The invention relates to a method for estimating a lifetime curve of at least one technical component, in particular a vehicle assembly or a vehicle component, comprising the following method steps: - Generating design data (350) for at least one technical component with a multitude of parameters and / or settings and / or properties of the technical component, - Transforming the design data (350) into a quantum state (450) by a quantum processor (430), wherein the quantum state (450) comprises each parameter, each parameter value, each property, each property value, each setting and each setting value of the engineering component as a single state (455); - Applying at least one quantum algorithm (470) to the quantum state (450), wherein the quantum algorithm (470) includes at least one quantum amplitude estimation; - Determining relevant states (490) from measurements of the quantum state (450), - Performing simulations with the relevant states (490) to model simulation results (570); - Analyzing the simulation results (570) and calculating a lifetime curve (580) for the technical component; - Output of the lifetime curve (580) as output data (750) for use in adapting the technical component.

A photonic integrated circuit comprising one or more waveguides comprising a second order non-linearity configured to operate on optical pulses each having a pulse length shorter than 1000 optical cycles, as measured at their full width at half maximum. The circuit is configured to generate one or more quantum states carried by one or more of the optical pulses, manipulate one or more of the quantum states, and / or measure one or more of the quantum states.