Abstract: An information processing apparatus generates, based on input-output information indicating a correspondence between an input state and an output state including an influence of noise in a syndrome measurement of a second quantum error-correcting code, a first map that transforms the input state into the output state. The information processing apparatus generates a second map by extracting a magnitude of the influence exerted by the noise from the first map, and generates a first quantum error-correcting code formed of a plurality of second quantum error-correcting codes. The information processing apparatus applies the noise generated in accordance with the second map to each of the second quantum error-correcting codes forming the first quantum error-correcting code, and evaluates an error-correcting performance of the first quantum error-correcting code against a quantum error caused by the influence of the noise.

Abstract: According to an aspect of an embodiment, operations may include obtaining a dataset including a plurality of sequential events and supplemental data indirectly indicating an order of sequential events. The operations may additionally include determining a portion of the supplemental data is corrupted. In some embodiments, the operations may include obtaining a validation dataset including potential values that may be included in the supplemental data. In some embodiments, the operations may further include restoring the corrupted portion of the supplemental data based on comparing the supplemental data with one or more of the potential values included in the validation dataset.

Abstract: An explanatory material generating method executed by a computer, includes: receiving personal information representing an attribute of a user; specifying for each of a plurality of factors included in a first causal graph, a weight corresponding to the attribute represented by the received personal information; and generating explanatory material of a causal relationship expressed in the first causal graph, based on the first causal graph and the specified weight of each factor, using a machine learning model configured to generate information for explaining a causal relationship expressed in an input causal graph.

Abstract: An information processing apparatus extracts a subset of vector data from a vector database. The information processing apparatus calculates the value of a predetermined statistical indicator using the extracted subset of the vector data. The information processing apparatus generates a function for obtaining the amount of resources to be used for calculating the value of the statistical indicator for the vector database, based on a first resource amount used for calculating the value of the statistical indicator using the subset of the vector data. Then, the information processing apparatus calculates, using the generated function, a second resource amount to be used for calculating the value of the statistical indicator for the vector database.

Abstract: A non-transitory computer-readable recording medium stores therein an information processing program that causes a computer to execute a process including, acquiring a video of a person who grasps an item to be registered in an accounting machine, by analyzing the acquired video, calculating a score indicating a level of reliability of the item that is contained in the video with respect to each of a plurality of possible items that are set previously, acquiring information on the item that is registered in the accounting machine by the person by operating the accounting machine, based on the calculated score, selecting a possible item from the possible items, and based on the selected possible item and the acquired information on the item, generating an alert indicating abnormality of the item that is registered in the accounting machine.

Abstract: An apparatus includes a power supply unit and a control device configured to control the power supply unit. The power supply unit includes a power conversion circuit including a switching element. The control device includes a processor configured to perform a process including: obtaining, from the power supply unit, an index value indicating a switching time of the switching element set in the power conversion circuit, and detecting an abnormality of the power supply unit based on the obtained index value and an index value accumulated in the past.

Abstract: A non-transitory computer-readable recording medium having stored therein an information processing program that causes a computer having a computation resource to execute a process including: comparing a free space of a memory included in the computation resource with a data amount of model data of a machine learning model; prefetching the entire model data into the memory when the data amount is equal to or less than the free space; and when the data amount is greater than the free space, generating a plurality of pieces of partial model data by dividing the model data in units of layers constituting the machine learning model, and prefetching one or more pieces of the plurality of partial model data corresponding to the free space among the plurality of pieces of partial model data.

Abstract: Provided is a causal model generation method that causes a computer to execute a process. The process includes identifying a timing at which the specific event occurred in each of a plurality of second data acquisition ranges in which the specific event previously occurred, evaluating a similarity between a plurality of types of data acquired in each of the plurality of second data acquisition ranges in a focused period before an identified timing and a plurality of types of data acquired in the first data acquisition range, identifying a second data acquisition range that is most similar to the first data acquisition range in the plurality of second data acquisition ranges based on a result of the evaluating, and generating a causal model when the specific event occurs in the first data acquisition range using data acquired after the specific event occurs in an identified second data acquisition range.

Abstract: A quantum device includes a substrate, a first superconductor layer provided on the substrate, and a first wiring line electrically coupled to the first superconductor layer, wherein the first superconductor layer includes a first lower surface that has contact with the substrate, a first side surface that is continuous with the first lower surface, and a first upper surface that is continuous with the first side surface, the first side surface includes a first plane that is continuous with the first upper surface and a first curved surface that is continuous with the first plane and the first lower surface, a curvature center of the first curved surface is on a side of the first superconductor layer as viewed from the first curved surface, and the first wiring line has contact with the first upper surface and the first plane.

Abstract: A computer-implemented method is provided for performing automatic gate-cutting of a target quantum circuit into a set of output subcircuits, comprising: identifying a target quantum circuit comprising a number of qubits and entanglement gates; identifying a subcircuit constraint defining the maximum number of qubits available per output subcircuit of the set of output subcircuits; performing a cutting algorithm to determine a set of optimum subcircuits, the cutting optimisation algorithm comprising: iteratively evaluating a cost function which determines candidate sets of subcircuits based on an assessment of the entanglement gates of the target quantum circuit, comprising determining for each candidate set of subcircuits: whether the subcircuit constraint is satisfied; and a subset of the entanglement gates to be cut to achieve the candidate set of subcircuits; minimising the cost function and defining the set of optimum subcircuits as the respective candidate set of subcircuits for which the cost function

Abstract: A processing unit generates a plurality of first quantum circuits each including a quantum gate serving as a target of noise measurement and a plurality of single-qubit gates that perform a twirling operation, the first quantum circuits differing from each other in the number of repetitions of the gate operation of the quantum gate. The processing unit generates, for each of the plurality of first quantum circuits, a plurality of second quantum circuits that are quantum circuits that implement the same unitary operation and differ from each other in the number of first single-qubit gates among the plurality of single-qubit gates. The processing unit causes a quantum computer to execute the plurality of second quantum circuits, and estimates noise of the quantum gate in a state where no first single-qubit gate is included, by extrapolation based on the execution results of the plurality of second quantum circuits.

Abstract: An optical waveguide includes a diamond layer including a first surface, a second surface and a diamond layer including a complex defect; a first clad layer in contact with the first surface; a second clad layer in contact with the second surface and including a polarity; and a metal layer in Schottky contact with the second clad layer.

Abstract: Avoiding False Negatives in vision-based multi-view gymnast detection presents a significant challenge. Detection results with False Negatives can further impact subsequent processing, such as multi-view 3D pose estimation. Therefore, interpolating missing bounding boxes is a desirable solution. Assuming that calibrated camera parameters are known, our method interpolates missing bounding boxes when a gymnast's 2D bounding boxes are detected in more than two views but are absent in others. This method primarily involves three steps: 1) Inferring the vertical 3D body center line using detected cross-view 2D bounding boxes and camera parameters through 2D-to-3D projection; 2) Obtaining the average 3D gymnast scale from pre-acquired data, and then calculating the 3D horizontal scale based on the 3D vertical scale obtained in step 1; 3) Interpolating the missing 2D bounding boxes using the inferred 3D vertical line and horizontal scale through 3D-to-2D projection.

Abstract: A non-transitory computer-readable recording medium stores therein an alert generation program that causes a computer to execute a process including acquiring video image of a person who is scanning a code of a commodity product to an accounting machine, specifying, by analyzing the acquired video image, from among a plurality of commodity product candidates that are set in advance, a commodity product candidate that corresponds to the commodity product that is included in the video image, acquiring an item of the commodity product that has been registered to the accounting machine by scanning the code of the commodity product to the accounting machine, and generating, based on an item of the specified commodity product candidate and the item of the commodity product acquired from the accounting machine, an alert that indicates an abnormality of the commodity product that has been registered to the accounting machine.

Abstract: A quantum device includes a quantum bit element that includes a first diamond crystal layer having a first center point and having a shape extending in four directions from the first center point, a second diamond crystal layer having a second center point and having a shape extending in four directions from the second center point, and a color center present in one of the first diamond crystal layer and the second diamond crystal layer, the first diamond crystal layer and the second diamond crystal layer being stacked so that at least parts of the first center point and the second center point overlap each other, a first optical waveguide connected to each of four first ends of the first diamond crystal layer, and a second optical waveguide connected to each of four second ends of the second diamond crystal layer.

Abstract: According to an aspect, operations include acquiring a sequence of video frames associated with video data and a query. The operations further include acquiring a temporal graph associated with the sequence of video frames. The temporal graph includes a set of subgraphs corresponding to the sequence of video frames, with a set of nodes and edges in each subgraph representing the set of entities and relationships between the set of nodes, respectively. The operations further include converting the query into a set of retrieval functions and applying the set of retrieval functions on the temporal graph to retrieve a query response including at least one video frame of the set of video frames.

Abstract: A quantum device includes a plurality of quantum bit elements each including a diamond crystal layer and a color center, the diamond crystal layer having a central portion and extending portions connected to the central portion and extending in 2n directions (n is an integer of 2 or more) from the central portion, the color center being formed in the central portion, an input optical waveguide that is connected to each of n ends of the extending portions and transmits light introduced into the color center, an output optical waveguide that is connected to each of n ends of the extending portions and transmits a photon emitted from the color center, and a branching element connected to the output optical waveguide of a first quantum bit element of the quantum bit elements and the output optical waveguide of a second quantum bit element of the quantum bit elements.

Abstract: A non-transitory computer-readable recording medium having stored therein an information processing program causes a computer to execute a process including: determining a weight of an input feature in a regression model, the regression model predicting an amino-acid sequence of a virus after mutation using an amino-acid sequence of the virus as the input feature, the determining being based on a first feature related to a three-dimensional (3D) structure of a protein of the virus and a second feature related to a contribution to prediction of a machine learning model, the contribution being obtained based on the first feature.

Abstract: A computer-readable recording medium stores therein a program for causing a computer to execute a process including: while changing a value of a parameter for expressing each of multiple states including a ground state and one or more excited states of a substance, calculating by quantum chemical calculation, the multiple states, based on the value of the parameter; and calculating based on the calculated multiple states, energy sets of the multiple states. The changing the value includes: assigning a rank to each of the energy sets so that in a coordinate system including axes representing the energy sets, the rank of a set corresponding to a point relatively closer to an origin of the coordinate system is relatively higher, and changing the value of the parameter based on the assigned rank and the value of the parameter corresponding to the rank so that the rank of the set becomes higher.

Abstract: A non-transitory computer-readable recording medium stores therein a machine learning program that causes a computer to execute a process including acquiring, in a case where inference by a trained neural network model is performed, a degree of contribution, of each of a plurality of neurons included in the neural network model, to a prediction, and retraining the neural network model without updating a weight of a neuron whose degree of contribution satisfies a predetermined criterion among the plurality of neurons based on the degree of contribution.