895 results about "Quantum state" patented technology

The invention discloses a data annotation method and system of a collaborative computing architecture based on quantum computing, and belongs to the field of data annotation. The method comprises the steps that S1, multi-modal data are input and preprocessed; s2, extracting features of each mode after preprocessing; s3, coding the features of each mode into a quantum state, and carrying out mode fusion; s4, performing label reasoning on the quantum state after modal fusion, and performing label constraint optimization by using a quantum approximate optimization algorithm; s5, based on a quantum Bayesian network or an approximate causal graph generation method, generating explanation according to a modal contribution causal path, and deducing marginal contribution of each modal to final label prediction by using a joint probability measurement result; and S6, outputting a labeling result. According to the method, a quantum-classical cooperative computing architecture is designed, the efficiency and accuracy of multi-modal data labeling are remarkably improved, the interpretability, the distributed processing capacity and the high-dimensional feature modeling capacity of the system are enhanced, and a brand new solution thought is provided for development of the multi-modal labeling technology.

The invention relates to the technical field of autonomous navigation and robot environment perception, and discloses a multi-source sensor fused adaptive navigation system, which comprises a multi-source sensor space-time synchronization module, a quantum particle filtering positioning estimation module, a space-time element learning controller module, a cross-modal quantum fusion module and an adaptive navigation control module. Multi-source data space-time alignment is realized through Lie group SE (3) calibration and dynamic time warping; the positioning robustness of particle filtering is improved based on quantum state coding and annealing optimization; dynamically distributing a fusion weight and injecting a physical constraint by utilizing a meta-learning network; feature level fusion of laser radar, vision and inertial data is realized by means of a quantum entanglement mechanism; and constructing closed-loop adaptive navigation by combining model predictive control and quantum purity trigger feedback. According to the method, the navigation reliability problem caused by misalignment of multi-modal sensor data fusion, divergence of state estimation and insufficient cross-modal relevance in a dynamic environment is solved.

The invention relates to the technical field of quantum communication security, and discloses a quantum key distribution secure communication system based on a quantum mechanics principle. The system comprises a quantum state preparation unit which controls a quantum emission device to output a quantum state sequence containing a preset polarization angle and a phase modulation photon group; a quantum channel feature extraction unit captures channel environment interference parameters and constructs a photon polarization distribution matrix; a quantum communication security evaluation unit receives the matrix, and calculates a channel security coefficient threshold through a quantum bit error rate analyzer; the quantum key dynamic optimization unit generates an optimized key segmentation strategy in combination with a security coefficient threshold and a historical key negotiation record; the quantum key rotation control unit switches quantum state modulation parameters according to a segmentation strategy and a time window; and the quantum node synchronization management unit monitors node clock offset and injects a calibration signal to realize key distribution time slot alignment. The system can dynamically cope with environmental interference, and improves the security and adaptability of quantum key distribution.

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 application discloses a ciphertext decryption method and related equipment applied to ciphertext encrypted according to an RSA algorithm, and the method comprises the following steps: acquiring a large number in ciphertext and a public key of the ciphertext; selecting a number smaller than the large number as a base of a discrete logarithm problem, selecting 1 as a modulus power operation result corresponding to the base, and converting the base and the modulus power operation result into an initial quantum state; inputting the initial quantum state into a quantum computing module for solving the discrete logarithm problem to obtain a first target quantum state in which a solution result of the discrete logarithm problem is stored; extracting the solution result from the first target quantum state, and calculating a private key of the ciphertext based on the solution result; and decrypting the ciphertext based on the private key to obtain plaintext of the ciphertext. Through the technical scheme, the private key can be recovered according to the disclosed information in the case that the private key is not disclosed, and then the ciphertext is decrypted, so that the related technical blank is filled.

The invention discloses a seal removing and document repairing method based on quantum state collaborative regulation and control, and relates to the field of document image processing and quantum computing cross technology, the method comprises the following steps: obtaining to-be-processed information, and carrying out quantum-classical feature collaborative preparation; the character stroke continuity is guaranteed through quantum entangled state modeling and entanglement degree constraint iteration, texture decoupling is achieved through quantum wavelet transform and Gram-Schmidt orthogonalization, and adaptive filling is conducted in combination with a quantum generative adversarial network; dynamic quantum phase adjustment is used for counteracting superposition interference of stamps with different transparency, and quantum neural network noise reduction and multi-scale quantum Fourier sharpening are used for optimizing image quality; checking the repair result, if the repair result does not reach the standard, returning to the edge sharpening link to perform decoupling and filling the edge sharpening link to readjust the parameter; and for special scenes such as inclination, multi-color overprinting and ultra-thin frames, quantum rotation correction, color channel separation and boundary annihilation operator processing are used, finally, high-precision, high-naturalness and high-adaptability restoration of seal removal is achieved, and high fidelity of results is guaranteed.

The invention discloses a quantum approximate optimization method and device based on easy Hamiltonian, and belongs to the technical field of quantum computation.The quantum approximate optimization method comprises the steps that a binary constraint optimization problem in intelligent decision making and resource configuration is converted into a linear constraint equation; preparing the initial state of the quantum circuit into an initial state corresponding to the special solution of the linear constraint equation; a variable component sub-circuit composed of a target Hamiltonian and an easy-to-drive Hamiltonian is designed, so that quantum state evolution is strictly limited in a feasible sub-space; a final quantum state is simulated and measured through Hamiltonian to obtain a candidate solution, and parameters are iteratively adjusted by using a classical optimization algorithm to approach an optimal solution. According to the method, convergence is accelerated through special solution initialization, the number of iterations is reduced, the evolutionary process is guaranteed to always meet constraint conditions through peaceability, and the solving efficiency and the success rate are remarkably improved.

Embodiments of a present disclosure relate to communication systems and more particularly to a system and a method for a point-to-point decoy differential phase shift (DPS) Quantum Key Distribution (QKD). The system includes a source QKD device and a destination QKD device. The source QKD device generates and transmits one or more quantum states comprising a series of N coherent pulses with one or more phases to the destination QKD device. The destination QKD device receives, and records time information and corresponding detector units associated with each photon detection event in the received quantum states. The source and destination QKD devices use decoy states to detect and prevent attacks, such as Photon-Number-Splitting (PNS) attacks. The system allows for the secure generation of a secret key between the source and destination QKD devices.

The invention relates to the technical field of quantum computing, and provides a polariton quantum computing simulation method and related device.The method comprises the steps that parameterized quantum circuits are generated based on micromodels used for describing polaritons for all to-be-computed excitation states respectively, and the parameterized quantum circuits are generated based on initial Hamiltonian of polaritons in a ground state; the target Hamiltonian amount of the polariton in the current excitation state is obtained, then the value of each parameter is adjusted at least once, and the target energy of the corresponding excitation state is obtained. In the primary adjustment process, parameter updating is carried out on the quantum circuit, a reference quantum state of the corresponding excitation state is obtained by utilizing the updated quantum circuit, reference energy of the corresponding excitation state is obtained based on the reference quantum state and in combination with the target Hamiltonian, and then when a set convergence condition is met, the target Hamiltonian is obtained. And taking the reference energy as target energy of the corresponding excited state. The polaritons are simulated through the quantum computer, and the simulation efficiency is improved.

The invention discloses a digital archive multi-protection-based data security transmission method, and relates to the field of data security transmission, and the method comprises the steps: generating a random seed in real time based on a quantum state, carrying out the iterative blocking of the quantum seed through combining with Logistic chaotic mapping, outputting variable-length secret key fragmentation, carrying out the symmetric encryption of archive data through employing a lightweight SM4 algorithm, and carrying out the encryption of the archive data. Obtaining encrypted data of the fragments; a behavior anomaly probability is calculated through a hidden Markov model, a risk score is calculated through a safety interval, and when a score value exceeds a safety threshold value, a grading response is triggered; key fragments are generated by adopting n nodes, at least k fragments can reconstruct signatures to monitor the node state of the block chain, and when the node anomaly rate exceeds a node threshold value, a three-layer architecture is automatically switched. The method has the advantages that an active multi-protection system is constructed through a quantum dynamic key, risk-driven hierarchical response and block chain disaster recovery switching, and quantum attack resistance and dynamic adaptation to transmission of network risks are realized.

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.

A method for secure quantum communication includes generating a photon. The method includes modulating at least two quantum state dimensions selected from the group consisting of orbital angular momentum (OAM), polarization, and phase of the photon to form a composite quantum state. The method includes directing the photon to an emission point on a helical structure having a defined spatial coordinate corresponding to classical data. The method includes emitting the photon from the emission point into a quantum channel. The composite quantum state and spatial coordinate together encode secure information.

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 discloses a traffic signal global collaborative prediction method based on a quantum entanglement state, and the method comprises the steps: building a quantization model of a dynamic evolution path of a target traffic network in a time window in the future, and constructing a space-time diagram model; mapping the signal phase state of the intersection into a time-space integrated quantum state by adopting a layered quantum coding scheme; on the basis of a preset traffic optimization target, constructing Hamiltonian including spatial coupling, time evolution and a cost item, solving a ground state of the Hamiltonian through a mixed quantum-classical calculation method, and determining an optimal dynamic evolution path; coding the actual state of the current traffic network into an initial state, carrying out sequential measurement through an optimal evolution operator, decoding a cooperative signal control strategy of each time point in the future, and executing the cooperative signal control strategy through a rolling time domain control framework; according to the invention, global optimization is carried out by using quantum parallelism, the optimal cooperation strategy in the whole space-time range can be obtained at one time, and the overall operation efficiency, predictability and robustness of the traffic network are improved.

The invention relates to the technical field of artificial intelligence, in particular to a federated learning model property protection method based on quantum coding and lattice passwords. The method comprises the steps that firstly, an initial global model is distributed, and quantum watermark generation and embedding are carried out on the basis of the initial global model in combination with lattice password quantum state coding and an information theory; then, generating corresponding quantum fingerprints based on the initial global model embedded with the watermark, aggregating the quantum fingerprints by adopting a multi-key homomorphic encryption method to obtain global aggregated fingerprints, and recording corresponding identity information in a DAG account book; and finally, receiving verification information, and performing model ownership affiliation verification based on the verification information and the identity information in combination with a zero-knowledge proof protocol based on a lattice difficulty problem. The watermark is encrypted by an LWE instance, and any calculation behavior trying to remove the watermark is equivalent to solving a difficult LWE problem, which is not feasible in calculation. Excellent performance is achieved by adopting an advanced lattice cryptographic algorithm.

The invention provides a tunnel point position change automatic observation method and system combined with an AI algorithm, and relates to the technical field of tunnel monitoring, and the method comprises the steps: employing a speckle projector to form an irregular speckle pattern on a tunnel wall surface, and carrying out the multi-angle collection through a polarized light camera array, and obtaining the speckle intensity data; pre-embedding a coding microstructure generated based on quantum state superposition in the speckle pattern; establishing a speckle-stress correlation analysis model according to the speckle intensity data, and calculating three-dimensional displacement data in combination with the deformation data; and inputting the environmental monitoring data, the stress distribution data and the displacement data into the self-evolution heterogeneous feature network for analysis and prediction. According to the method, the measurement precision is improved by adopting the quantum coding speckles, the dynamic correlation analysis of multi-source data is realized through the self-evolution heterogeneous feature network, and the environmental adaptability and prediction accuracy of the system are enhanced.

The invention discloses a multi-modal data search method and system based on an AI large model, and relates to the technical field of multi-modal data processing, and the method comprises the steps: inputting multi-modal data into a quantum state propagation engine, mapping the multi-modal data to a quantum entanglement state through a quantum neural radiation field model, and generating a quantum entanglement state coding feature tensor; dynamically planning a quantum state propagation path of the quantum entangled state coding feature tensor based on a nonlinear soliton equation, and constructing a quantum topological index network and a knowledge graph; compiling a user search instruction into a quantum measurement operator, executing quantum state propagation path navigation in the quantum topological index network, and generating a candidate result set of cross-modal matching through a path interference effect; performing quantum de-coherence driven probability reordering on the candidate result set, and screening high-confidence results; through the amplitude damping channel and the fluctuation ratio weight calculation, the problem of high response delay caused by the calculation efficiency bottleneck is solved.

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.

The invention discloses an intelligent equipment management and monitoring method based on the Internet of Things. The method comprises the following steps: S1, collecting and preprocessing equipment state data through a quantum sensor; s2, constructing a quantum sensing network, and dynamically optimizing a network topology structure by using a quantum entanglement technology; s3, mapping the equipment state data into a quantum state, and optimizing time delay and spatial distribution in a data transmission process through quantum superposition and quantum interference technologies; s4, correcting error data in the transmission process by adopting a quantum error correction algorithm, and encrypting the corrected data through a quantum key distribution technology; s5, predicting the state of the equipment, and fusing a prediction result with the encrypted data to form a management instruction; s6, executing the management instruction and adjusting the equipment management strategy; and S7, monitoring the running state of the equipment in real time and updating the management instruction. The method has the advantages of high efficiency, accuracy, safety and high adaptability, and the equipment operation and maintenance efficiency is improved.

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.

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

The invention relates to the field of all-weather safety monitoring in the chemical industry, and discloses an all-weather chemical plant monitoring method, which comprises the following steps: dynamically acquiring quantum state measurement data of environmental parameters through a quantum dot array, capturing parameters such as temperature, pressure and gas concentration in real time by the quantum dot array through a tunneling effect, the sensing principle is based on the displacement effect of the quantum limited energy level; mapping the measurement data to a five-dimensional AdS spatio-temporal manifold and calculating an Einstein tensor; based on the Einstein tensor, solving topology invariant and curvature evolution of the space-time manifold; generating an algebraic decision instruction according to the topology invariant; and the encrypted control signal is fed back to the execution mechanism through the topology photon link. Through dynamic coupling of the quantum dot array and the five-dimensional AdS space-time manifold, cross-scale correlation monitoring of quantum state fluctuation and macroscopic deformation is achieved, the recognition blind area of a traditional method for micro-nano defects is broken through, and the early detection rate of pipeline microcracks is increased by two orders of magnitude.

A fundamental new effect in nonlinear photonic systems is disclosed herein, called n-photon bound states in the continuum, which can be applied to deterministically create large Fock states, as well as very highly intensity-squeezed states of light. The effect is one in which destructive interference gives a certain quantum state of light an infinite lifetime, despite coexisting in frequency with a radiative continuum. For Kerr nonlinear systems, that state is an n-photon (Fock) state of a particular and tunable n. Experimentally-realizable examples are shown which are capable of producing n-photon Fock states, and states with very large intensity squeezing, such as greater than 10 dB. The effect requires only Kerr nonlinearity and linear frequency-dependent (non-Markovian) dissipation, and is, in principle, applicable at any frequency. The theory and concepts are also immediately applicable to nonlinear bosons besides photons, and thus may be implemented in many other disciplines.

The invention discloses a path planning method, device and equipment and a storage medium, and the method comprises the steps: carrying out the quantum state coding of a path state in GIS spatial data, and obtaining a quantum superposition state and an entanglement state of the path state based on a quantum gate; the path planning problem is converted into a quantum Hamiltonian minimization problem, and the Hamiltonian of the annealing process is constructed based on the quantum tunneling effect; an initial quantum superposition state of a path state is constructed for the quantum Hamiltonian, and a target path is searched based on a Grover search algorithm; and coding the dynamic constraint condition into a quantum constraint Hamiltonian, and solving the minimum value of the total sub-Hamiltonian. According to the technical scheme provided by the embodiment of the invention, the path planning task can be efficiently completed.

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.

The invention relates to the technical field of electric power data transmission, and discloses an electric power Internet of Things equipment identity authentication method and system based on quantum cloud codes. The method comprises the following steps: acquiring quantum state information through a quantum random number generator, generating a power authentication seed and converting the power authentication seed into a quantum cloud code initial seed; collecting an electrical equipment identifier and a characteristic parameter to generate a characteristic vector; expanding the initial seed of the quantum cloud code into a sub-key sequence, and generating an authentication quantum cloud code through quantum entanglement coding and error correction; executing quantum evolution in the authentication time window to generate a dynamic authentication code; after the challenge sequence is received, quantum measurement is carried out, and authentication response data is constructed; and finally, determining an authentication state through block chain storage and an intelligent contract. According to the invention, quantum cryptography and a block chain technology are combined, so that a high-security, low-overhead and extensible device identity authentication mechanism is realized.

A quantum computer system comprises first and second registers which are used to separate a quantum state into multiple subspaces of a 2n dimensional Hilbert space. A quantum state comprising 2n elements is defined on the first register, the first register comprising n qubits; a quantum state is defined on the second register, the second register comprising one or more qubits; and receiving a value k, where k is a binary integer such that 0 =< k =< n. The method further performing a bit-wise iteration process comprising: (i) performing a quantum entanglement between the registers to separate the quantum state on the first register into distinct subspaces of the Hilbert space which are indexed by the entangled values on the second register, and (ii) measuring an outcome on the second register to find a match with a portion of k, wherein said portion of k increases incrementally with the iteration process until the match is with all of k. The bit-wise iteration is used to separate the quantum state on the first register into subspaces of the Hilbert space, wherein elements of the subspaces have different Hamming weights, and one subspace contains only elements of Hamming weight k.

The invention discloses a monitoring camera image anomaly detection method and system, and relates to the technical field of intelligent monitoring, and the method comprises the steps: obtaining an original video stream, extracting a pixel matrix of a current frame, carrying out the joint coding of the pixel matrix and a motion vector field of an adjacent frame into a quantum state bit vector, inputting the quantum state bit vector into a pre-constructed anomaly detection operator, and carrying out the detection of the anomaly. Executing quantum state evolution calculation in the Hilbert space, and outputting a two-dimensional distribution matrix of each pixel region; integrating the marked binary image and the physical verification conclusion, and when the quantum anomaly probability value reaches the alarm standard and passes the physical verification, outputting an anomaly alarm signal; and the abnormal alarm signal is converted into a confrontation training sample, a cross-scene virtual sample is generated through quantum noise injection, and an abnormal detection operator is dynamically updated. According to the method, the Hilbert space quantum state evolution step is combined, unitary transformation is applied to the quantum state bit vector, the orthogonal projection operation is executed, the accurately quantified abnormal probability distribution matrix is generated, and accurate assessment of the abnormal risk is achieved.

The invention belongs to the technical field of radar detection, and discloses a bird positioning method of a quantum radar bird detection system, which is characterized in that quantum characteristics such as polarization state and phase of echo photons are accurately analyzed by means of a quantum state demodulation technology, and high-precision measurement of the flight time of the photons is combined, so that the resolution limitation of the traditional radar is broken through from the quantum level; the technical combination not only can capture fine actions such as wing flapping frequency and steering angle of birds, but also can exert remarkable advantages in a dense bird flock scene: by utilizing quantum state differences of echo photons of different birds, overlapping signals are decomposed into independent individual signals through a quantum state separation algorithm; the individual distinguishing problem caused by traditional radar signal aliasing is solved; in high-precision demand scenes such as airports and the like, small bird targets can be accurately locked, flight potential safety hazards caused by misjudgment are greatly reduced, and the system can physically resist copying and deception interference of the outside to quantum signals based on the quantum unclonable principle.

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