10 results about "Time quantum" patented technology

The invention discloses an Internet of Things security chip based on multiple quantum entropy sources, and a security authentication method, device and system. The Internet of Things security chip comprises a static preset quantum entropy unit; a dynamic real-time quantum entropy source circuit; an entropy source fusion and management unit; wherein the entropy source fusion and management unit is configured to support at least two operation modes: (A) a basic service mode: generating a device identifier based on the output of the static preset quantum entropy unit, or providing a true random number based on the output of the dynamic real-time quantum entropy source circuit; (B) a fusion binding mode: taking the output of the static preset quantum entropy unit as an equipment binding parameter, performing cryptographic processing on the output of the dynamic real-time quantum entropy source circuit, and generating a cryptographic material uniquely bound with the equipment; the chip architecture realizes hardware-level binding of equipment identity and password randomness, has the advantages of high security, flexible configuration and controllable cost, and provides an ideal hardware trust root for constructing massive and trusted Internet of Things.

The application discloses a prediction method for edge scene based on space-time quantum federated learning, relates to the technical field of federated learning, and utilizes space-time data to construct a space-time graph of an edge device cluster and calculate a space-time correlation matrix, which can accurately capture the space-time dynamic mode of edge data and break through the limitation of traditional methods that ignore space-time heterogeneity; local model parameters of each client are encoded into quantum states, and the model parameter difference degree between any two clients in the edge device cluster is calculated, which further reduces communication overhead and greatly reduces network resource consumption of the edge device; based on a double pruning strategy, the space-time correlation matrix and the parameter difference matrix are used to screen a target client set from multiple clients and perform a dynamic aggregation operation to obtain a global model for scene prediction, which exhibits significant advantages in the edge computing architecture, can effectively handle the space-time heterogeneity between devices, reduce communication overhead, and improve model convergence speed and generalization performance.

The invention discloses a three-phase phase judgment method and device based on a quantum measurement technology. The method comprises the following steps: acquiring a real-time quantum signal corresponding to the current of a target charging pile; calculating a first phase angle, a second phase angle and a third phase angle of the current based on the real-time quantum signal; based on the first phase angle, the second phase angle and the third phase angle, a first quantum state correlation degree and a second quantum state correlation degree of the current are calculated, the first quantum state correlation degree is the quantum state correlation degree of the first phase and the second phase, and the second quantum state correlation degree is the quantum state correlation degree of the second phase and the third phase; and determining a phase determination result of the current based on the first quantum state correlation degree and the second quantum state correlation degree. The technical problems that in a complex power grid environment, a traditional charging pile three-phase phase judgment technology is inaccurate, the response speed is low, and phase judgment fails in a low-current or zero-current state are solved.

This invention relates to the field of smart grid technology, specifically a method and system for quantum time-frequency synchronization in distribution network areas. The method includes: deploying a master reference unit on the distribution transformer side to generate a high-precision reference time signal and distribute entangled photon pairs within the distribution area; deploying multiple slave node synchronization units on each smart terminal device to receive entangled photon pairs and record photon arrival times; calculating the real-time quantum clock difference between each slave node and the master reference unit using the coincidence counting principle; taming the local CPT atomic clock using an adaptive feedback control module based on the quantum clock difference to achieve time synchronization with the master reference unit; and monitoring the status of the distribution network communication network in real time, automatically switching between closed-loop control mode and open-loop hold mode based on the network status. This invention achieves highly reliable and accurate synchronization of distribution network areas without relying on the public network, possesses anti-spoofing attack capabilities, and provides a secure and accurate time reference for distribution network equipment.

This invention discloses a method for measuring the coupling coefficient based on an identical waveguide array, belonging to the field of measurement and testing of optical waveguide properties. The method includes: constructing a measurement system for the coupling coefficient of the waveguide array; testing the evolution results of the waveguide array; and recalculating the coupling coefficient through simulation experiments. Based on the consistency between the evolution process of photons in the waveguide array and continuous-time quantum walks, this invention uses an identical single-mode waveguide array, relies on the physical model of continuous-time quantum walks, and measures the output probability amplitude at different evolution lengths. The simulation and test results are evaluated using the least squares method to finally obtain the waveguide coupling coefficient. This method has low requirements for experimental equipment, low workload, and requires less sample width; it can accurately predict and analyze the evolution of light in the waveguide array.

A quantum system controller configured to perform (near) real-time quantum error correction is provided. The controller includes a processing device including at least one first processing element, a time-indexed command (TIC) sequencer including at least one second processing element, and a plurality of driver controller elements configured to control operation of respective components and associated with respective buffers and processing elements. The processing device is configured to generate commands, and the TIC sequencer is configured to cause appropriate driver controller elements to time-indexed execute the commands. Control of real-time operation of the quantum computer by the TIC sequencer enables the processing device to generate commands based on conditions assessed by input data indicative of quantum errors that can be present in a quantum computation being performed by the quantum computer, such that commands that resolve the quantum errors are generated and executed (near) real-time.

The present disclosure relates to quantum computing methods and devices, wherein a computation corresponding to a certain desired unitary transformation of the Hilbert space of a quantum system, such as a set of qubits, is implemented by selective application of control pulses in order realize a continuous time quantum computation rather than by decomposing the unitary transformation into a sequence of gates taken from a fixed set of gates. In this way an effective Hamiltonian having an input matrix A encoded as an off-diagonal block connecting a first and a second subspace of the quantum system is then applied alternatingly with some standard Hamiltonian in order to obtain a time evolution corresponding to a given function f applied to the input matrix A. The required control pulses are optimized by means of classical compression techniques such as a deep learning neural network, in order to maximize, during the information loading phase of the computation, the amount of classical information loaded into the system, and, during the computational phase, the number of elementary continuous time quantum transformations, respectively.

The technology described herein is directed towards a hybrid classical-quantum computer system, in which classical hardware is used for qubit control, qubit parameter readout and collecting telemetry data, by integrating classical processors with quantum systems. In one implementation, sensors in the quantum computer system obtain real-time quantum system parameter data. At least some of the sensors can be coupled to a classical computing system, e.g., and on-device high performance computing (HPC) server or cluster, via an analog-to-digital converter. The telemetry data is processed by the classical computing system, which makes appropriate adjustments to ensure qubits are maintained in optimal states without any errors. The telemetry data can include magnetic flux data measured at a qubit bias control device, mutual magnetic coupling strength data measured between the qubit and a radio frequency superconducting quantum interference device magnetically coupled to the qubit, and environmental condition data.

The application relates to the technical field of quantum key distribution and discloses a communication protocol security verification method based on quantum key distribution. The method establishes a quantum communication channel framework, loads protocol parameters to generate an initial security verification model, configures a security state transition rule, combines quantum entity parameters to perform cross-layer data fusion, and obtains a full-process security tracking model. Through the model, security path deduction is performed, a key exchange trajectory chain is generated, security trajectory simulation data is constructed, a quantum conflict resolution mechanism is established, a security strategy optimization model is generated by training, and security governance parameters are output. Based on the security governance parameters and the like, security incremental simulation information is generated, a multi-objective decision model is constructed by combining protocol evolution constraint conditions, optimal security path parameters are adjusted and generated, security verification strategies are verified and updated through a real-time quantum mapping network, and a full-process security matching target is achieved. The method effectively improves the comprehensiveness, accuracy and dynamic adaptability of quantum communication protocol security verification.

The invention discloses an edge scene-oriented prediction method based on space-time quantum federated learning, relates to the technical field of federated learning, and aims to construct a space-time diagram of an edge device cluster by using space-time data and calculate a space-time incidence matrix, accurately capture a space-time dynamic mode of the edge data, and break through the limitation of neglecting space-time heterogeneity in a traditional method; the local model parameter of each client is coded into a quantum state, and the model parameter difference degree between any two clients in the edge device cluster is calculated, so that the communication overhead is further reduced, and the network resource consumption of the edge devices is greatly reduced; based on a double pruning strategy, a target client set is screened out from a plurality of clients by utilizing a space-time incidence matrix and a parameter difference matrix, and dynamic aggregation operation is executed to obtain a global model for scene prediction, so that remarkable advantages are shown in an edge computing architecture, space-time isomerism among equipment can be effectively processed, communication overhead is reduced, and the scene prediction efficiency is improved. And the convergence speed and generalization performance of the model are improved.