120 results about "Quantum algorithm" patented technology

The invention provides an anti-quantum national secret dual-mode cryptographic algorithm switching method and system based on dynamic scheduling, and relates to the technical field of dynamic scheduling, and the method comprises the steps: collecting the operation characteristics of a cryptographic communication session, and carrying out the analysis to obtain an evaluation result containing an attenuation inflection point and an algorithm failure time boundary; determining a candidate switching algorithm set from the heterogeneous algorithm pool according to an evaluation result, and calculating a resource overhead expected value and a safety gain expected value of each candidate algorithm; establishing a dual-mode collaborative switching decision mechanism, mapping resource overhead and security gain into a Pareto leading edge solution set in a reserved response interval before an algorithm failure time boundary, and determining a switching scheme by combining a semantic fragment boundary; algorithm switching is executed by inserting a control frame at a semantic fragment boundary, and iterative correction is carried out by utilizing scheduling execution feedback. According to the method, smooth switching between the national cryptographic algorithm and the anti-quantum algorithm is realized, the security and the resource efficiency are both considered, and the long-term security of the cryptographic system is ensured.

The invention discloses an equipment identity authentication and data encryption method and related equipment thereof, and the comprehensive effects of identity credibility, key security superposition and channel encryption capability enhancement are realized by introducing a mixed key system and a double digital signature mechanism into an equipment identity authentication and data encryption process. Meanwhile, a national cryptographic algorithm and a post-quantum algorithm are adopted, and the two cryptographic systems cooperate in parallel in an authentication and encryption link, so that the whole system has a robust anti-attack ability in both a traditional computing environment and a potential quantum computing environment, the accuracy of identity authentication is ensured by a dual signature mechanism, and the counterfeiting difficulty and tampering detection ability are remarkably improved. According to the method, the bidirectional verification chain is constructed in the authentication process, the safety is guaranteed by using the mixed key in the session stage, the safety robustness and the expandability of the system are improved through multi-layer protection, and the whole-process protection of the identity, the key and the data is realized, so that the safety robustness and the expandability of the system are integrally improved.

The invention discloses a method for effectively simulating general quantum computing based on a classical circuit network, and relates to the technical field of quantum computing simulation, and the method comprises the following specific steps: converting data into a voltage signal through input voltage coding, constructing a single-bit gate and a two-bit gate by using an operational amplifier and an analog multiplier, and constructing a single-bit gate and a two-bit gate; according to the invention, the general quantum computation is simulated by a classical circuit network, an n-bit unitary matrix is decomposed and reconstructed by means of input voltage coding quantum state and voucher / two-bit gate modular design, and the high-efficiency simulation of general quantum computation is realized. Quantum gate linear transformation is reproduced, quantum calculation universality is achieved, voltage signals and data are converted through a reflection formula, signal distortion is avoided, multi-level gate circuit cascading is supported, and a flexible and stable platform is provided for quantum algorithm verification and the like.

The embodiment of the invention provides a secure communication network system and method based on a quantum key, and the system comprises a quantum key distribution module which is used for building and updating a symmetric key between communication nodes through a quantum key distribution protocol; the quantum encryption communication module is used for encrypting and decrypting communication data by using the symmetric key; the quantum algorithm acceleration module is used for deploying a quantum algorithm in machine learning and optimization calculation tasks to realize calculation acceleration; the hybrid computing scheduling module is used for coordinating task allocation and resource scheduling between the classical computing resources and the quantum computing resources; and the block chain verification module is used for recording life cycles of key distribution, communication sessions and calculation tasks and ensuring non-tampering and traceability of the data. A key distribution and encryption communication basis of an information theory security level is constructed, and long-term data confidentiality is provided for a network. And the complex service processing capability and efficiency of the whole network system are obviously improved.

The invention relates to the technical field of information security, in particular to a fire-fighting Internet of Things equipment authentication method supporting an anti-quantum algorithm, comprising the following steps: before fire-fighting Internet of Things equipment and an Internet of Things platform server are started through Internet of Things MQTT communication connection, the fire-fighting Internet of Things equipment initiates a first TLS handshake packet to the Internet of Things platform server, the fire-fighting internet-of-things equipment receives a server digital certificate returned by the internet-of-things platform server, verifies the validity of the server digital certificate, and sends an equipment certificate to the internet-of-things platform server after the verification is passed, so that the internet-of-things platform server generates a random session key ciphertext by using a public key in the equipment certificate, and sends the random session key ciphertext to the fire-fighting internet-of-things equipment; the fire-fighting internet-of-things equipment unpacks the random session key ciphertext by using a private key to obtain a shared session key K; and the fire-fighting Internet of Things equipment establishes a security encryption communication channel with the Internet of Things platform server based on the shared session key K, and executes MQTT message transmission in the communication channel.

The invention relates to the field of information security, and discloses a cross-domain quantum key charging method and system.The method comprises the steps that a first key charging site responds to a first service terminal request, analyzes a target terminal identifier and reports step by step when cross-domain judgment is conducted; the cross-domain key charging management center generates a cross-domain master key based on a quantum true random number according to the target attribution, and distributes the cross-domain master key to a source domain key charging service center and a target domain key charging service center through a quantum secure channel; the service centers of the two parties negotiate a derived session key by using the shared master key and issue the derived session key; and after receiving the session key, the site generates a service key in combination with the service context and charges the service key to the terminal. The system also integrates a dynamic request triggering mechanism based on consumption rate, a hybrid encryption channel mechanism and a storage unit physical overwriting destruction mechanism. According to the method, a hierarchical cascade architecture is adopted, and a quantum entropy source and a post-quantum algorithm are combined, so that the problem of trust transfer between heterogeneous domains is solved, and quantum computing attack-resistant key full-life-cycle safe closed-loop management is realized.

A system and method for estimating values of an operator, such as energy levels of a Hamiltonian, is disclosed. The estimation is performed in a way such that the runtime of performing the estimation is independent of a complexity of the operator, e.g., a number of terms in the Hamiltonian. Also, errors can be statistically suppressed by performing additional sampling, due to a lack of biased error in the estimator. Additionally, samples may be tested using only a single ancilla qubit.

Robust systems and methods are disclosed for fake account detection on digital platforms, integrating provenance analysis to scrutinize data origins, ownership, and history, thereby unveiling potential sources of fraudulent activities. They leverage dynamic feature generation, using advanced algorithms to assess user behaviors and interactions, ensuring the model stays attuned to the evolving landscape of cyber threats. Incorporating Quantum-assisted optimization, the method employs Quantum algorithms to expedite feature selection, enhancing detection efficiency. Quantum simulation further refines this process, creating sophisticated verification patterns and analytical techniques to distinguish genuine from fake accounts with higher accuracy. A comprehensive analysis amalgamates provenance data, telemetry, and dynamic features, forming a holistic detection approach. This system optimizes features through Quantum simulation, tailoring them to specific business environments, and deploys them via AI-ML DevOps, streamlining orchestration across various operational settings.

The present disclosure provides a network registration method, device and related equipment, which relates to the technical field of communication. The method comprises: sending a network registration request to a home network, wherein the network registration request carries a user hidden identification code, the user hidden identification code includes a protection scheme identifier, a home network public key identifier and a protection scheme output, the protection scheme output includes an elliptic curve cryptography public key of the user, a post-quantum ciphertext, a user identification code ciphertext and a message authentication code; receiving the network registration response returned by the home network. Through the above technical means, the problem that the quantum algorithm affects the user network registration in the prior art, resulting in that the security of the user network registration cannot be guaranteed, is solved.

The invention discloses a hardware system for calculating an SLHDSA binary tree, an SLHDSA binary tree calculation method, a storage medium and equipment, and belongs to the field of post-quantum algorithms. A binary tree controller; a plurality of first memory cells; the plurality of second storage units are used for calculating a root node value of a four-layer binary tree at the bottom of the eight-layer binary tree through a plurality of hash modules for each of all the eight-layer binary trees at the bottom of the SLHDSA binary tree; writing a root node value of the four-layer binary tree into a plurality of first storage units through a binary tree controller; calculating the root node value of the eight-layer binary tree by using the root node values read from the plurality of first storage units through a hash module; writing a root node value of the eight-layer binary tree into a plurality of second storage units through a binary tree controller; and calculating a root node value of the SLHDSA binary tree by utilizing the root node values read from the plurality of second storage units through a hash module. According to the method, the calculation efficiency of the high-level binary tree is improved, and the consumption of storage resources is reduced.

The embodiment of the invention relates to the technical field of quantum computing and quantum processor resource management, and provides a neutral atom quantum processor virtualization scheduling method based on a capability block, which comprises the following steps: receiving and analyzing a quantum algorithm task, and extracting a structural feature set; converting the structural feature set into an algorithm capability portrait based on a feature and capability mapping rule; obtaining a capability block resource pool comprising a plurality of capability blocks and block capability portraits thereof; carrying out capability matching on the algorithm capability portrait and the block capability portrait, and judging a coverage relation; determining a candidate capability block based on the coverage relationship and performing feasibility judgment; performing cross-region combination search on the candidate capability block set to construct a candidate block combination; performing cost evaluation on each candidate block combination; and selecting a target block combination based on the combination cost, constructing a virtual processor description object and outputting the virtual processor description object to an execution layer. Therefore, implementation and expandability of a complex quantum algorithm on a large-scale neutral atom quantum processor are realized.

The invention relates to the technical field of crystal structure prediction, and discloses a quantum algorithm-based energetic CxNyOz crystal structure prediction method, which comprises the following steps of: calculating an evaporation and diffusion dimensionless number and capillary pressure by obtaining surface tension, a contact angle, a geometric feature scale, temperature, partial pressure, a diffusion coefficient and an evaporation rate; establishing a residual solvent mole fraction and solvent chemical potential sequence; constructing a binary layer occupancy model Hamiltonian containing layer occupancy energy, adjacent layer action energy, a capillary pressure volume term and a molecular polarity action term, and obtaining a hierarchical occupancy number by using a quantum approximation optimization algorithm; calculating interlayer respiration and shear frequency and mode volume sensitivity based on a quantum variation algorithm; and finally, the lattice spacing and the prediction result are obtained through cost functional minimization, and accurate prediction and quantitative analysis of the structure of the energetic crystal under the unbalanced desolvation condition are realized.

The invention discloses a Lie algebra-based variable component subalgorithm layered training method, which comprises the following steps of: optimizing and freezing ZX on a generation element subset G < 1 > = {XX, YY and XY} through a layered activation-freezing training schedule, remarkably relieving a barren plateau, improving trainability, reducing an instantaneous reachable algebra dimension, and increasing gradient variance and optimizing stability; after the switching criterion is met, ZX is introduced and expanded to G2 = {XX, YY, XY, ZX}, and the final expression ability is maintained and recovered; the switching basis is consistent with the dynamic Li algebra structure, and is jointly triggered by gradient statistics and sub-algebra scale indexes, so that the training process is schedulable, explainable and convenient to audit and reproduce.

The invention relates to the technical field of communication security, in particular to an SIM card communication method and system based on an anti-quantum cryptography algorithm, and the method comprises the steps: obtaining first signature data, carrying out the signature verification of the first signature data through employing a public key generated by a first anti-quantum cryptography algorithm and a public key generated by a first cryptographic algorithm, and obtaining a first signature verification result; after the signature verification succeeds, a first preset private key is utilized to perform combined signature on the first random number and a second random number generated by the first SIM card to obtain second signature data; the first SIM card performs signature verification on the second signature data by using the first preset public key; and after successful verification, the first SIM card and the second SIM card communicate based on the symmetric key. According to the application, the anti-quantum cryptographic algorithm is added in the SIM card, so that the post-quantum algorithm can be integrated in the SIM card, the problem that the SIM card uses a traditional cryptographic algorithm is solved, information can be prevented from being attacked and cracked in the quantum computing power era, and the communication security of the SIM card is improved.

The parameterized quantum circuit construction method, device, storage medium and computer device provided by the application utilize unitary matrix linear combination to reduce the depth and required quantum bit number of a variational circuit, thereby effectively constructing an arbitrary target quantum state, reducing the amount of training parameters, and optimizing the efficiency and accuracy of the variational quantum algorithm and improving the practicability of the algorithm under limited quantum resources; and the application is particularly suitable for a noisy intermediate-scale quantum (NISQ) device, and by proposing a circuit design with low depth and quantum bit number, the problem that the application of the prior art on the NISQ device is limited can be solved, for example, the application can efficiently solve VQA problems such as quantum state learning and Hamiltonian ground state solving on a quantum device, thereby opening up a new way for practical applications in the field of quantum chemistry.

Implementations disclosed describe techniques used for compiling a quantum algorithm for execution on a plurality of quantum circuits, including accessing, by a processing device, the quantum algorithm, identifying a matrix associated with the quantum algorithm, determining a representation of the identified matrix as a matrix decomposition that includes a plurality of transformation matrices, wherein one or more of the plurality of transformation matrices perform multiple instances of two-dimensional rotations; and generating a circuit map that maps execution of the matrix decomposition on the plurality of quantum circuits.

Provided herein are methods for generating, from a quantum algorithm, a quantum circuit that is error robust. The methods determine a characteristic of a quantum hardware that is used to implement the quantum algorithm and informs the deterministic dynamic error suppression routine to be implemented. The methods also consider the compiled quantum circuit because that provides the information about the context of the operations performed on the qubits, which is an important factor in the fidelity of the quantum gates and ultimately the success of the algorithm. The methods then use the characteristic and the context to apply deterministic error correction.

The invention discloses a PQC-SM2 hybrid authentication and encryption service security communication system, method, device and equipment and a medium, and the method comprises the steps: carrying out the bidirectional identity authentication processing with a service receiver under the condition that a new service request of a service request and / or the identity authentication time exceeds a preset time threshold; after the bidirectional identity authentication processing is passed, negotiating a session key with the service receiver by applying a preset post-quantum algorithm and a preset national secret algorithm; encrypting the service request according to the session key; the encrypted service request is sent to the service receiving party; receiving the encrypted service response data, and decrypting the encrypted service response data according to the session key; and completing the service corresponding to the service request according to the service response data, thereby effectively avoiding the potential security risk or applicability limitation in the key negotiation link, and comprehensively ensuring the overall security of service data transmission.

An AI-powered multimedia workstation integrates a digital audio workstation (DAW), visual graphics editor, and office productivity tools within a single platform. Operating on an AI / quantum-inspired software system, it performs real-time audio, visual, and data processing. A central AI / Quantum Content DNA Engine enables structural, stylistic, and semantic analysis, separation, and manipulation of multimedia content, including audio, video, images, and text. The workstation features a hybrid control surface with dynamic haptic feedback faders, high-resolution touch displays, and professional audio input / output interfaces. AI functions include automated music composition, intelligent mixing and mastering, cross-modal content generation, and context-aware workflow assistance. Quantum-inspired algorithms accelerate rendering, simulation, and large-scale data analysis. The system supports real-time global collaboration via high-speed network protocols and cross-platform compatibility with external devices and software. By combining AI-assisted and quantum-inspired processing, the workstation enhances creative production, performance, and productivity, providing an integrated environment for professional audio, visual, and office applications.

The application discloses a Lie algebra-based variable quantum algorithm hierarchical training method, through a hierarchical activation-freezing training schedule, first optimization and freezing of ZX on a generating element set G 1 ={XX, YY, XY}, barren plateaus are significantly alleviated and trainability is improved, instantaneous reachable algebraic dimension is reduced, gradient variance is increased and optimization stability is improved; after meeting switching criteria, ZX is introduced to expand to G2={XX, YY, XY, ZX}, and final expression capability is maintained and restored; switching is consistent with dynamic Lie algebra structure, and is jointly triggered by gradient statistics and subalgebra size indexes, so that the training process is schedulable, interpretable, and convenient for auditing and reproduction.

The invention provides a quantum storage structure optimization method for a plane wave basis group Hamiltonian, relates to the field of quantum calculation and quantum chemical simulation, and aims to solve storage and calculation challenges caused by huge scale of a Hamiltonian matrix in quantum calculation. Through structural analysis, double-layer index coding and structured QROM module construction, efficient loading and dynamic calling are achieved. The quantum random access memory routing module supports sub-channel loading, path compression reduces the number of control gates, and resource efficiency and flexibility are improved. The method is suitable for large-scale periodic material simulation, such as crystal structure optimization and electronic state analysis, is in seamless connection with a mainstream quantum algorithm, and remarkably reduces the circuit depth and auxiliary bit requirements.

A method of enabling custom cryptography is provided. The method can include sending, by a first computing device and to a second computing device, instructions to initiate a proxy. The proxy can be configured to intercept a message of a user agent. The user agent may be associated with the second computing device. The proxy can be further configured to perform custom cryptography based on the message to obtain a modified message. The custom cryptography may comprise post-quantum cryptography. The proxy can be further configured to send the modified message to at least one of the user agent, a reverse proxy, or a third computing device. The post-quantum custom encryption and / or decryption can comprise Quantum Secure Layer (QSL), Post-Quantum Transport Layer Security (PQTLS), Kyber, SABER, Enhanced McEliece, RLCE, or a National Institute of Standards and Technology (NIST) candidate post-quantum algorithm.

Qubit predictability services for a quantum computing system are disclosed. In one example, a processor device of a computing system receives qubit utilization data that encodes a utilization history for each qubit in a set of qubits of a QCS. The processor device further performs one or more hypothesis tests for each qubit of the set of qubits based on the utilization history for the qubit and a set of quantum algorithms. The processor device further generates one or more predictability scores for each qubit of the set of qubits based on the one or more hypothesis tests for the set of qubits. The processor device further provides an indication of the one or more predictability scores for each qubit of the set of qubits to the QCS.

A method (100) for determining a ground state (1000) of a quantum system is disclosed, comprising the following steps: 6) determining (102) the thermal state (1020) of the quantum system at a temperature value (1001', 1001) by optimizing the free energy (3020) of the thermal state (1020) at the temperature value (1001', 1001) by iteratively adjusting gate parameters (1022', 1022) by means of a variational quantum thermalizer (1010) until a first termination criterion is met; 7) checking (1025) whether the previously found thermal state meets a second termination criterion; 8) if the second termination criterion is not met (10250): decreasing (1026) the temperature value (1001', 1001); initializing (301) the quantum circuit (1011) of the variational quantum thermalizer using the gate parameters (1022', 1022) from the last iteration of step 2); repeating steps 2) and 3); 9) if the second termination criterion is met (10251): providing (103) an energy spectrum (1030) of the quantum system using the gate parameters (1022) of the last iteration of step 2) before the second termination criterion (10251) is met; determining (104) the ground state (1000) of the quantum system by selecting the state of the energy spectrum that is assigned the lowest energy.

The invention provides a method for planning a physical observation task in a space-ground integrated sensor network, and relates to the field of quantum computing, and the method comprises the steps: obtaining the capability data of an available space-ground sensor, carrying out the discretization of a time-space range of a monitoring scene, and obtaining the capability data of the available space-ground sensor; establishing a space, time and time-space mapping relation between the discretized space-time position and the sensor capability; quantum coding is carried out on the space-time position, the sensor and the observation capability, quantum entanglement operation is carried out based on the constructed three types of mapping relations, and unified space-time observation capability quantum state representation of the space-time sensor is constructed; and constructing a corresponding quantum operator according to a specific calculation requirement, and performing efficient calculation and measurement on the unified quantum state by applying a quantum algorithm to obtain a calculation result, thereby realizing the scheduling of the space-ground integrated sensor network. According to the technical scheme, the inherent space-time observation capability characterization and calculation bottleneck under a classical calculation framework is fundamentally solved.

The invention relates to a method (100) for determining a ground state (1001) of a quantum system, comprising the steps of: providing (101) a hybrid variable component sub-algorithm and implementing (102) the hybrid variable component sub-algorithm (1010) on a hybrid computer platform comprising a classic computer and a quantum computer for implementing a quantum circuit (1011), in which the hybrid variable component sub-algorithm (1010) is implemented, wherein a gate parameter (1020) is determined (1025) on a classical computer by solving a differential equation comprising an equation matrix and an equation vector, and wherein a virtual time evolution of the gate parameter (1020) determined by solving the differential equation for a time step is determined (1026) by applying a Runge-Kutta method. The invention further relates to a hybrid computer platform, to a hybrid variable component sub-algorithm and to a use of the method for material simulation.

This invention provides a quantum algorithm utilizing noise-induced spectral filtering to optimize a target quantum circuit and obtain its global optimal solution. The algorithm includes: S1, constructing a noisy proxy model with added quantum noise for the target quantum circuit to be optimized, used to proxy the evolution of quantum states affected by noise after each quantum logic gate operation; S2, performing a first gradient descent optimization on the noisy proxy model to obtain pre-trained circuit parameters for the target quantum circuit; S3, loading the pre-trained circuit parameters into a noise-free or low-noise environment simulating the target quantum circuit to complete parameter transfer; S4, in the environment simulating the target quantum circuit after parameter transfer, performing a second gradient descent on the circuit parameters based on the loss function of the target quantum circuit until convergence to obtain the global optimal solution for the target quantum circuit.

Systems and methods for generating error models for quantum algorithms implemented on quantum processors having a plurality of qubits are provided. In one example, a method includes obtaining data associated with a benchmark model, the benchmark model having one or more error indicators as features, one or more benchmarks as targets, and one or more trainable parameters, wherein each error indicator is associated with a distinct quantum gate calibrated in a distinct operating configuration associated with a plurality of operating parameters for the quantum gate and associated with a calibration data for the operating configuration. The method includes determining parameter values for the trainable parameters. The method include operating a quantum computing system based on operating parameters determined based on the parameter values.

The invention provides a photovoltaic power station fault detection method, which comprises the following steps of: acquiring power generation operation, environment and equipment state multi-dimensional data of a photovoltaic power station, and performing standardization, dimension reduction and missing value repair by adopting quantum principal component analysis; constructing a causal relationship network based on a QPCA result, mining a dependency relationship among variables, and generating feature set data; training the feature set by using an echo state network model, and constructing an anomaly recognition model in combination with density peak clustering and an isolated forest algorithm; inputting the preprocessed data to the model in real time, and outputting abnormal data through clustering analysis; analyzing an abnormal influence range and a propagation path by combining a causal network, and quantifying a risk level; triggering an alarm for high-risk abnormity, calling a knowledge base to generate a disposal scheme and notifying operation and maintenance personnel; and processing feedback data is used for updating model parameters to form closed-loop optimization. The data processing efficiency is improved through a quantum algorithm, the detection precision is enhanced by fusing causal reasoning and deep learning, and dynamic risk assessment and model self-optimization are realized.