Abstract: An apparatus comprises: an array of coupled quantum elements in a housing configured to provide a low-temperature environment, where one of the quantum elements comprises: a first fluxonium qubit circuit (FQC), and a qubit coupling circuit configured to couple the first FQC to a second FQC; and a control module configured to apply magnetic flux pulses to quantum elements in the array of coupled quantum elements based at least in part on signals received from a digital signal interface providing digital control signals into the housing, the control module comprising: a DAC module that comprises one or more SFQ circuits that receive a digital input and generate the magnetic flux pulses, and a control coupling circuit configured to provide mutual inductive coupling between at least one of the SFQ circuits and at least one of the first FQC, the second FQC, or the qubit coupling circuit.

Abstract: There is disclosed in one example a heat dissipator for an electronic apparatus, including: a planar vapor chamber having a substantially rectangular form factor, wherein a second dimension d2 of the rectangular form factor is at least approximately twice a first dimension d1 of the rectangular form factor; a first fan and second fan; and a first heat pipe and second heat pipe discrete from the planar vapor chamber and disposed along first and second d1 edges of the planar vapor chamber, further disposed to conduct heat from the first and second d1 edges to the first and second fan respectively.

Abstract: Disclosed is an encoding system and associated methods for generating a graph-integrated tree-based representation of data that provides for direct lateral traversals of nodes in a each layer of the tree-based representation. The encoding system organizes data from a dataset to a tree-based representation with multiple layers and multiple nodes in each layer. The encoding system detects the nodes in each layer, and defines a graph structure that links the nodes in each layer for direct lateral access. The encoding system searches the tree-based representation in response to a query for a particular subset of the data by performing a single downward traversal to a particular layer with individual nodes that satisfy part of the query, and by laterally traversing the nodes in the particular layer using the graph structure to directly access a second node in the particular layer from a first node in the particular layer.

Abstract: Disclosed is a system and associated methods for generating a point-accurate three-dimensional (“3D”) model of a scene with point-accurate color information from a non-cosited capture of the scene. The system may define a first model based on positional measurements obtained from a first device. The system may capture images of the scene with a different set of devices, and may generate a second model from a photogrammetry modeling of the images. The system may align the models in order to determine positioning of the set of devices relative to the first model, and may select a particular device that captures descriptive characteristics from a position in the scene that is represented by the positional elements of a particular data point. The system may define non-positional elements of the particular data point based on the descriptive characteristics captured by the particular device.

Abstract: Disclosed is a system and associated methods for dynamically rendering an image with varying detail that emulates human vision and that provides a dynamic resolution or level of detail at each layer of the image that is equal to or greater than the resolvable detail that can be detected by human vision within each layer. The system may adjust a non-linear function based on one or more of a display size, a display resolution, and a viewer distance from a display. The system may determine a dynamic resolution or level of detail for each layer of the image based on the adjusted non-linear function. The system may render the image data at or greater than the dynamic resolution or level of detail determined for each layer.

Abstract: Disclosed are systems and methods for defining, bonding, and editing point cloud data points with primitives. In particular, a system may receive a point cloud with data points that are defined by positional and non-positional elements. The system may associate primitives to each data point based on a material or a property associated with the surface, feature, or article at a position in an imaged three-dimensional (“3D”) environment that corresponds to a particular position of the data point in the point cloud. The system may receive input for a first adjustment to at least one of the data point elements, and may edit point cloud by defining a second adjustment that modifies the first adjustment according to a rule of a particular primitive, and by applying the second adjustment to the at least one element of a first set of data points that are associated with the particular primitive.

Abstract: Disclosed is a system and associated methods for generating a point-accurate three-dimensional (“3D”) model of a scene with point-accurate color information from a non-cosited capture of the scene. The system may define a first model based on positional measurements obtained from a first device. The system may capture images of the scene with a different set of devices, and may generate a second model from a photogrammetry modeling of the images. The system may align the models in order to determine positioning of the set of devices relative to the first model, and may select a particular device that captures descriptive characteristics from a position in the scene that is represented by the positional elements of a particular data point. The system may define non-positional elements of the particular data point based on the descriptive characteristics captured by the particular device.

Abstract: Disclosed is a system and associated methods for dynamically rendering an image with varying detail that emulates human vision and that provides a dynamic resolution or level of detail at each layer of the image that is equal to or greater than the resolvable detail that can be detected by human vision within each layer. The system may adjust a non-linear function based on one or more of a display size, a display resolution, and a viewer distance from a display. The system may determine a dynamic resolution or level of detail for each layer of the image based on the adjusted non-linear function. The system may render the image data at or greater than the dynamic resolution or level of detail determined for each layer.

Abstract: Disclosed is a system for dynamically classifying different data point sets within a point cloud with different classifications that may alter how data point sets with different classifications are processed, edited, and/or rendered. The system may generate a model based on a first set of relationships between a first set of data point elements that result in the first classification, and a second set of relationships between a second set of data point elements that result in the second classification. The system may compare the data point elements from unclassified data point sets against the first set of relationships and the second set of relationships in the model, and may assign the first classification to a particular unclassified data point set in response to the data point elements of the particular data point set having a threshold amount of the first set of relationships.