Fujitsu Patente

According to an aspect of an embodiment, operations may include obtaining data corresponding to a completed process flow, the completed process flow being associated with an incident that has been resolved. The operations may further include generating one or more labels that serve as target variables for training a machine learning model based on the data corresponding to the completed process flow. The operations may additionally include extracting a subset of the data corresponding to a predefined time range cutoff. Further, the operations may include generating a plurality of features derived from the data corresponding to the completed process flow for training the machine learning model and training the machine learning model to predict future behavior of ongoing process flows using the plurality of features and the one or more labels associated with the data corresponding to the completed process flow.

A processing unit causes a quantum computer to execute a quantum circuit including a first-polarity first control gate and a second-polarity second control gate, each controlled by an auxiliary qubit. The first control gate applies a first time-evolution operator corresponding to a Hamiltonian H(λ) to a qubit group corresponding to a quantum state |ψ>. The second control gate applies a second time-evolution operator corresponding to H(λ + δλ) to the qubit group. The processing unit acquires, from the quantum computer, a probability amplitude corresponding to an event that a result of applying the two types of time-evolution operators to the quantum state |ψ> matches |ψ>. The processing unit acquires a cumulative distribution function for an energy level difference between H(λ) and H(λ + δλ) by executing discrete Fourier transform using the probability amplitude, and estimates the difference based on the cumulative distribution function.

An information processing apparatus generates a waveform function that defines a temporal change in amplitude in a first interval of a rise time of a pulse signal using a first polynomial having a first parameter as a coefficient and defines a temporal change in the amplitude in a second interval of the rise time using a second polynomial having a second parameter as a coefficient. The information processing apparatus determines a waveform using the waveform function by assigning a first parameter value group to the parameter group. The information processing apparatus changes a parameter value group assigned to the parameter group, from the first parameter value group to a second parameter value group, based on a result of quantum computation performed by a quantum computer using a pulse signal having the waveform.

An information processing apparatus acquires error data indicating an error of a first quantum gate. The information processing apparatus generates, using an approximation function that linearly approximates an influence of an additional quantum gate, which is to be added to the first quantum gate, on an operation of the first quantum gate, a linear equation which includes a variable corresponding to the additional quantum gate and indicates a relationship in which the error is canceled by the additional quantum gate. The information processing apparatus determines a second quantum gate corresponding to the additional quantum gate by solving the linear equation for the variable. The information processing apparatus determines a second quantum gate corresponding to the additional quantum gate by solving the linear equation for the variables.

An information processing apparatus performs, a plurality of times, an update process of updating a value of a first parameter, which is a variable included in a cost function applied to a variational quantum circuit used for variational quantum eigenvalue computation. The information processing apparatus determines a value of a second parameter representing a weight for an amount of change in the value of the first parameter in each update process, by adding a constant term and a variable term expressed using a ratio between the values of the cost function calculated through the variational quantum eigenvalue computation using the values of the first parameter obtained in the k-th and (k-1)-th update processes. The information processing apparatus performs the (k+1)-th update process using the amount of change weighted by the determined value of the second parameter.

A processing unit acquires, for a plurality of terms included in a Hamiltonian corresponding to a problem to be solved by a variational quantum eigensolver and capable of being simultaneously measured by a quantum computer, first information indicating the variance of each term and the covariance of each pair of terms, upon performing a simultaneous measurement, generates, based on the first information, an optimization problem that minimizes a total sum of the variance of each term and the covariance of each pair based on the constraint that the amount of a change with respect to an average value of the sum of the terms is equal to or less than a predetermined value, determines a plurality of first terms to be simultaneously measured by the quantum computer by solving the optimization problem, and computes the number of samples of the simultaneous measurement based on the minimized total sum.

An information processing apparatus determines, based on target information regarding an imitation target, a first knowledge domain in which the imitation target has knowledge and a first knowledge level of the imitation target regarding the first knowledge domain. Upon receiving a first question, the information processing apparatus instructs an agent, which responds to a question by using a language model, to generate a response to the first question. In instructing the response, the information processing apparatus instructs a response generated by imitating thoughts of the imitation target that are referable to information restricted based on the first knowledge domain and the first knowledge level.

A machine learning device includes a processor that executes a procedure. The procedure including: specifying, among a plurality of points that are present within a predetermined distance from a first point in a latent space of an autoencoder, a second point that satisfies a predetermined relationship with the first point; and updating at least a parameter of a decoder of the autoencoder by optimization of an objective function including a regularization term to reduce a difference between the first point and the second point in the latent space.

A quantum device having a plurality of quantum bits (1) connected to each other via coupling wiring lines (30), wherein each of the plurality of quantum bits includes: a Josephson junction device (4); and a quantum bit electrode (50) connected to one end of the Josephson junction device; and the quantum device including: a ground electrode (51) to which the other end of the Josephson junction device is connected; an insulating region (52) between the quantum bit electrode and the ground electrode; and a guard structure (54) that is provided along a portion of the coupling wiring line extending in the insulating region and is fixed to a ground potential.

A computer implemented method for determining an origin of indication information in a networked connection between a client device and a server, comprising: receiving, at the server, the indication information of the client device, determining a client-server value based on a transmission time of a connection signal transmitted between the client device and the server, transmitting a tracing signal addressed to the indication information via a particular router in the networked connection between the client device and the server, determining a tracing value based on a transmission time of the tracing signal to the particular router, establishing whether the indication information originates from an intermediate connection in the networked connection or from the client device by comparing a difference value with a threshold value, the difference value being based on the client-server value and tracing value.

Provided is an improvement proposal presentation method including estimating a dialogue stage for each dialogue of a plurality of dialogues included in a conversation based on the plurality of the dialogues and a first large language model (S4), estimating a final dialogue stage among dialogue stages as a dropout stage of the conversation (S5), and outputting an improvement proposal according to the dropout stage based on a dialogue content of the plurality of the dialogues, the dropout stage, and the first large language model (S7).

In an embodiment, a parameterized quantum circuit is initialized on a quantum computer for a Quantum Neural Network (QNN) with an ansatz architecture. Input data, which includes a quantum representation of a multi-dataset and an initial state of the QNN, and labels, is received. The quantum representation of the multi-datasets on the QNN is loaded and a first dataset of the multi-dataset is labelled. A label-controlled circuit associated with label-controlled input qubits of the ansatz architecture for the QNN is determined, based on the labelled first dataset. A universal circuit associated with the ansatz architecture for a prediction circuit associated with the QNN is determined, based on labelled first dataset. The prediction circuit is determined based on the label-controlled circuit and the universal circuit. The prediction circuit is trained and configured to generate predictions associated with the loaded fractionally weighted data portfolios.

A computer obtains a causal relationship including a plurality of explanatory variables and a response variable by performing causal discovery using a subset extracted from a data aggregate including a value of each of the explanatory variables and a value of the response variable on the basis of each of a plurality of conditions related to ranges of the values of the explanatory variables. The computer obtains a causal effect of any explanatory variable of the explanatory variables on the response variable on the basis of the causal relationship obtained on the basis of each of the conditions. The computer obtains a determination result of similarity in the causal effects obtained on the basis of the respective conditions, by determining the similarity. The computer obtains an identified range of the value of each of the explanatory variables in which the causal effects have a predetermined sign on the basis of the determination result of the similarity and outputs range information indicating the identified range.

A vectorization unit (12) converts a first sentence and a second sentence into vector values using a sentence embedding model. A similarity calculation unit (13) calculates a first similarity of the first sentence to the second sentence based on the vector value of the first sentence and the vector value of the second sentence. A feature value extraction unit (14) extracts feature values of the first sentence and the second sentence. A corrected similarity calculation unit (15) calculates a second similarity by correcting the first similarity by weighting based on a difference between the feature values of the first sentence and the second sentence.

An information processing apparatus divides a quantum circuit into subcircuits each assigned to one of a plurality of quantum processors. The information processing apparatus predicts, for each of the subcircuits, fidelity when the subcircuit is executed by the quantum processor assigned thereto. The information processing apparatus repeats the process of dividing the quantum circuit into the subcircuits by increasing the number of subcircuits and the process of predicting the fidelity until the fidelity satisfies a predetermined criterion. When the criterion is satisfied, the information processing apparatus instructs a quantum computer to execute each of the subcircuits by the quantum processor assigned thereto. The information processing apparatus calculates, by classical computation, a computation result of the quantum circuit based on execution results of the subcircuits.

An information processing device executes a quantum circuit multiple times and classifies combinations of determination results of first conditional branches in a first portion of the quantum circuit into multiple groups, based on the similarity of the combinations of the determination results of a second conditional branch in the second portion. The information processing device generates first information indicating a method of allocating physical qubits to the first portion, and generates and associates with each group, second information indicating a method of allocating physical qubits to the second portion. After executing the first portion according to the generated first information, the information processing device controls an executing unit to execute the second portion according to any of the second information, according to the current combination of the determination results of the first conditional branch.

A Josephson parametric amplifier (10) includes: a substrate (15); a superconducting quantum interference device (21) that includes a Josephson junction provided on the substrate; a ring-shaped structure (40) that is configured by a superconductor and that is provided so as to cover the superconducting quantum interference device; and a magnetic flux generating portion that generates magnetic flux passing through a ring inner side of the ring-shaped structure.

A processing unit groups a plurality of sequences to be aligned in a multiple sequence alignment problem into a plurality of groups, selects a representative sequence from each of the plurality of groups, and causes an Ising machine to perform a first alignment process among the representative sequences of the plurality of groups. The processing unit replaces the representative sequence before the first alignment process with the corresponding representative sequence obtained through the first alignment process in each of the plurality of groups, and causes the Ising machine to perform a second alignment process within each of the plurality of groups after the replacement of the representative sequences.

An information processing apparatus acquires measurement data indicating measurement values of quantum states of qubits measured after a quantum computer has repeatedly executed, a plurality of times, a quantum gate sequence including a plurality of quantum gates for the qubits. The information processing apparatus divides a space to which a matrix indicating a quantum operation by the quantum gate sequence belongs into a first subspace including a singular point at which eigenvalues satisfying predetermined conditions are calculated, and a second subspace that does not include the singular point, and generates, within a range of the second subspace, a function that linearly approximates an influence of an error of a quantum gate included in the plurality of quantum gates on the measurement value. The information processing apparatus estimates, by using the function and the measurement data, the error of the quantum gate when the quantum computer executes the quantum gate.

A quantum device (100) includes a quantum chip (10) including a substrate (11) having a first surface (12) and a second surface (13), a quantum bit (15) provided on the first surface, and an electrode (18) electrically connected to the quantum bit and provided on the second surface, a mounting portion (30) having a mounting surface (32) on which a peripheral edge portion of the quantum chip is mounted, the mounting portion having a linear expansion coefficient different from that of the substrate, a conductor pin (40) having a tip end in contact with the electrode, and a holding portion (50) fixed to the mounting portion, the holding portion holding the conductor pin and having a linear expansion coefficient different from that of the substrate, wherein the electrode has a shape having a longitudinal direction in a direction radially extending from a center of the substrate in plan view, and the quantum chip is mounted on the mounting surface by inserting a protrusion (31) provided on one of the substrate and the mounting surface into a hole (19) provided on another of the substrate and the mounting surface, the hole having a longitudinal direction in a direction extending radially in plan view.

An information processing program for causing a computer to execute a process, the process includes: obtaining a decomposition number of a Trotter decomposition approximating a quantum unitary corresponding to an Ising model; and setting a quantum circuit expressing a formula of the Trotter decomposition by one or more first partial circuits and a second partial circuit, the one or more first partial circuits being of a first count one less than the obtained decomposition number and each including an Rz gate that represents a rotation action about a Z-axis on a qubit, the second partial circuit being free of the Rz gate and coupled to a rear of the one or more first partial circuits.

An information processing program causes a computer to execute a process including detecting a bounding box of an object in a plurality of frames captured by a camera installed at a predetermined point, and generating a heat map that represents average reliability at each set of coordinates in a range captured by the camera, based on reliability of each of a plurality of the detected bounding boxes.

A processing unit acquires the data of first and second classical shadows corresponding to first and second quantum data represented by qubits, and geometric structure information indicating the geometric structure of a space including lattice points associated with the qubits. The first and second classical shadows include first and second data elements, respectively, corresponding to the qubits. The processing unit sets local subspaces each including a set of local lattice points in the space, based on the geometric structure information. The processing unit calculates, for each local subspace, a value of a first kernel function based on first and second data elements of the first and second classical shadows corresponding to the lattice points of that local subspace, and calculates a value of a second kernel function corresponding to the first and second classical shadows, based on the values of the first kernel function corresponding to the local subspaces.

A quantum device includes a first qubit circuit, a second qubit circuit, and a cover chip. The first qubit circuit includes a first port, a first qubit, and a first resonator coupled to the first qubit and the first port and having a first resonant frequency. The second qubit circuit includes a second port, a second qubit, and a second resonator coupled to the second qubit and the second port and having a second resonant frequency different from the first resonant frequency. The cover chip includes a waveguide coupled to the first port and the second port.

An information processing program for causing a computer to execute a process including: setting first and second functions, for a quantum circuit used when solving a combinatorial optimization problem and including, for each layer, a first partial circuit representing an action of a mixer unitary operator and a second partial circuit representing an action of a cost unitary operator, the first function representing a first variational parameter of the first partial circuit, the second function representing a second variational parameter of the second partial circuit; and calculating a solution to the combinatorial optimization problem by updating a value of a first transformation parameter related to the first function and a value of a second transformation parameter related to the second function so as to optimize an expected value of a cost function corresponding to the combinatorial optimization problem by using the quantum circuit after setting the first function and the second function.

A method of manufacturing a Josephson junction element includes forming a lower electrode (20) on a substrate (10) by using a superconducting material, depositing a first insulating film (30) on the substrate to cover the lower electrode, depositing a superconducting film on the first insulating film, and forming an upper electrode (40) by etching the superconducting film, the upper electrode covering an entire lower electrode in plan view and having an outer peripheral edge located outside an outer peripheral edge of the lower electrode.

A method of manufacturing a quantum device (100, 200) includes bonding a diamond substrate (30) including a color center (21) to a layer (32) provided on a support substrate (10), forming a first portion (40) including the color center, and a second portion (42) having an inclined surface (43) inclined with respect to a side wall (41) of the first portion by etching the diamond substrate after the bonding the diamond substrate, forming a metal film (45) on the inclined surface, and forming a first optical waveguide portion (20) by cutting the first portion at a first position farther from the layer than the color center by emitting a laser beam reflected by the metal film onto the side wall of the first portion.

A provider terminal apparatus encrypts a vector obtained by vectorizing a plurality of pieces of provided date with homomorphic encryption to generate indexes, generates a plurality of pieces of encrypted data obtained by encrypting the pieces of provided data, and transmits a search table in which the indexes and the encrypted data are included to an information search server (1). A searcher terminal apparatus transmits a search query obtained by encrypting a vector obtained by vectorizing query information with homomorphic encryption to the information search server (1). The information search server (1) performs homomorphic operation according to the homomorphic encryption between the search query and each of the indexes registered in the search table, creates a similarity list, and transmits the similarity list to the searcher terminal apparatus. The searcher terminal apparatus extracts a similar index similar to the search query based on the similarity list.

A quantum device (1) includes a qubit substrate (170) having qubits and conductive pads coupled to the qubits, the qubit substrate (170) having a first thermal expansion coefficient; a first support (210) having a second thermal expansion coefficient; a plurality of second supports (220) disposed between the qubit substrate (170) and the first support (210), each having a third thermal expansion coefficient a plurality of coupling members (230) each coupling the first support (210) and a corresponding second support of the second supports (220); and spring pins (310) supported by the second supports and contacting the conductive pads. A control signal for controlling a state of each of the qubits is supplied to a corresponding conductive pad of the conductive pads through a corresponding spring pin of the spring pins (310). An absolute value of a difference between the first thermal expansion coefficient and the second thermal expansion coefficient is smaller than an absolute value of a difference between the first thermal expansion coefficient and the third thermal expansion coefficient.

A generation program causes a computer to execute a process including acquiring purchase information of a product or service, detecting an area in a store where a product is arranged, when an analysis result of the acquired purchase information during a certain period of time set in advance satisfies a predetermined condition, among a plurality of video images of the detected area, extracting an analysis result of each of the video images according to the certain period of time, every time the analysis result of the video image according to the certain period of time is extracted, storing the extracted analysis result of the video image in a storage, by inputting a prompt including the analysis result of the video image stored in the storage during a first period of time into a language model, and generating and outputting information on a measure to be taken in the store.

An information notification program causes a computer to execute a process including acquiring domain knowledge information including a work procedure of an operation to be monitored, analyzing video to be monitored and first identifying an image region of a person and an image region of an object to be worked by the person in the video, inputting a prompt composed of a feature of the identified image region of the person, a feature of the identified image region of the object, and the domain knowledge information to a large multi-modal model, and causing, when a work performed by the person in the video is not a behavior based on the work procedure of the operation, the large multi-modal model to generate information related to the work procedure, and notifying the generated information related to the work procedure.

An information processing device generates a first data group that is before transformation at an a-th diffusion stage. The information processing device obtains a third data group that is generated by a second quantum circuit according to a second data group that is before transformation at a b-th reverse diffusion stage. The information processing device trains the first quantum circuit to discriminate the first data group as true and to discriminate the third data group as false. The information processing device trains the second quantum circuit so that the trained first quantum circuit discriminates the third data group as true. The information processing device sets the trained second quantum circuit as a variational quantum circuit expressing an operation of the b-th reverse diffusion stage.

An information processing apparatus generates a second quantum circuit by converting a first two-qubit gate included in a first quantum circuit into a two-qubit gate sequence in which the gate operation of the first two-qubit gate is repeated a predetermined number of times consecutively. The information processing apparatus converts a second two-qubit gate, which forms a part of the two-qubit gate sequence included in the second quantum circuit, into a first equivalent circuit representing a gate operation with a first global phase. In addition, the information processing apparatus converts a third two-qubit gate, which forms a part of the two-qubit gate sequence, into a second equivalent circuit representing a gate operation with a second global phase. Thus, a third quantum circuit is generated. The information processing apparatus then causes a quantum computer to execute the third quantum circuit.

A method may include discretizing a partial differential equation with an initial value condition to obtain a linear equation. The method may also include scaling at least one discretization parameter of the linear equation to obtain a scaled linear equation. The method may include applying a quantum algorithm to the scaled linear equation to obtain a linear system with a preconditioned matrix. The method may further include performing a quantum singular value transformation to apply an inverse of the preconditioned matrix to obtain a solution. The method may include extracting an integral probability from the solution using an integral interpolation.

A specifying program causes a computer (200) to execute a process including acquiring an attribute of training data acquiring a document related to a decisionmaking condition for a specific attribute of a user inputting a prompt including the attribute of the training data and a token of the document related to the decisionmaking condition to a large-scale language model and outputting an appearance probability of a token related to the attribute and specifying a label of a training target of a machine learning model from the training data based on the output appearance probability of the token.

A computer-implemented method comprising: generating, based on input network packet data, a target flow summary comprising information relating to packet flow between two addresses during a target time period; generating, based on the target flow summary, a target latent space representation; identifying k reference latent space representations most similar to the target latent space representation, wherein the plurality of reference latent space representations correspond to a plurality of reference flow summaries; generating, using a first LLM and based on the target flow summary, a target flow report in natural language format and generating, using the first LLM and based on k reference flow summaries, k reference flow reports in natural language format; generating, using a second LLM and based on the target flow report and the k reference flow reports with their corresponding classifications, a classification of the packet flow as malicious or benign.

A training program causes a computer to execute a process including: first inputting a first image capturing a target compound to an encoder of an auto-encoder including a latent space that is isometric with respect to an input space; second inputting a latent variable output by the encoder and a typical compound model corresponding to a typical case of a three-dimensional structure of the target compound to a decoder of the auto-encoder; and updating parameters of the encoder and the decoder, based on a reconfiguration error between a second image reconfigured based on an output of the encoder and the first image.

A detection program causes a computer to execute a process including converting input tabular data into image data, generating a first machine learning model by machine learning using the tabular data as training data, and generating a second machine learning model by machine learning using the image data as training data, and detecting presence of an adversarial attack on input data based on a first prediction result for the input data obtained using the first machine learning model and a second prediction result for the input data obtained using the second machine learning model.

In executing trials each of which changes the value of a state variable included in state variable groups included in an evaluation function for a combinatorial optimization problem, a processing unit performs, based on evaluation function information on the evaluation function, a first process of determining a candidate for a first state variable whose value is to be changed in parallel for each state variable group, in each trial, with a first probability, performs, based on the evaluation function information, a second process of selecting one second state variable and determining whether to accept a change in the value thereof in parallel for each state variable group, in each trial, with a second probability, updates the value of the first state variable selected from the candidates determined by the first process, and updates the value of a second state variable whose change is accepted by the second process.

A search unit performs a search process. In the search process, a first process and a second process are iteratively performed. The first process is a process of selecting a change-target state variable from a plurality of state variables included in an evaluation function, based on the amounts of change in the value of the evaluation function caused by updating the values of the individual state variables and a first function that is a function representing a selection criterion for the change-target state variable according to the amounts of change. The second process is a process of updating the value of the selected change-target state variable. A control unit switches the function used by the search unit in the search process to a second function different from the first function.